Autonomy in mobile machines has two sides which have to be covered: autonomous driving and autonomous working. Understanding these complexities and the mechanics behind is the prerequisite to develop machines in an autonomous design. This presentation therefore focusses on the technological complexity behind these two, gives an overview about different connectivity methods and provides a journey across several aspects like architecture considerations and the role of artificial intelligence in working processes. It closes with some ideas about how to solve on the large scale.

What the audience will learn

• Introduction and overview about the complexitiy behind autonomous and mobile machines
• Architecture considerations for autonomous and mobile machines
• The role of artificial intelligence in mobile working processes and a practical example
• Ideas and suggestions on how to solve the technological complexity

TRL are developing a program of trials of connected and automated plant that are intended to take technologies that might be a good idea in principle, and turn them into business as usual solutions in practice. In this session Dr Ianto Guy will discuss some of the highlights and challenges of taking connected and automated plant out into the wild, and will make some recommendations about how we can make the adoption of automation run more smoothly when it encounters the challenges of real world projects.

The talk will focus on how Microsoft uses the Azure Cloud to build a platform to design, test, simulate and manufacture industrial vehicles. The key points will be : Using Azure compute services and AR and VR for computer aided engineering and design. Creating an end to end testing and validation platform for design verifications and vehicle validation. Creating a digital collaboration metaverse platform to reduce the time to market of these vehicles.

What the audience will learn

• Metaverse on Azure
• End to end Engineering collaboration platform
• Augmented and Virtual Reality for design and Manufacture

The last decade of robotic advances in manipulation, sensing, and computing is now enabling the use of robots in less structured environments, such as construction and agriculture. Collaborative robotics offer the opportunity to assist humans in repetitive, hazardous, and strenuous tasks while simultaneously improving safety. While safety standards for automated industrial equipment exist, there is a gap between these legacy standards and the possibilities that state-of-the-art technology is now enabling. Standards bodies and industrial working groups are now driving to close these gaps to enable the safe application of highly automated work machines in these environments. More to be discussed...

What the audience will learn

• Approaches to achieving safe human-robot collaboration while leveraging state-of-the-art technologies in construction environments are going to be discussed
• Safety Standards
• State-of-the-art technology behind the safety

In the off-highway market segment, the trend towards highly automated and autonomous machines that has taken hold in the automotive world is reinforced by the expectation of increasing the efficiency and quality of task execution while minimizing costs. The hardware needs to be robust to withstand harsh conditions while the software must be modular to cover a variety of machine arrangements and environmental operating conditions. These challenges cannot be solved by one company alone. The Autonomous Operation Cluster (AOC) is a cross-market initiative that brings together industry-leading OEMs and technology providers to develop solutions for automated and autonomous mobile machines.

What the audience will learn

• The specific challenges of autonomous operation for off-highway applications
• The highly automated and autonomous application and functions in the off-highway business segment
• Typical system overview: key hardware and software requirements
• Autonomous Operation Cluster: an example on how to collaborate on autonomous operation development
• Outcomes in a concrete off-highway use case

CAN XL is intended as backbone network in embedded and deeply embedded control applications. It is prepared for an easy integration into TCP/IP-based networking architectures. CAN XL provides some new protocol-embedded higher-layer functions such as e.g. the differentiation of several "groups of same concerns", across local network boundaries. Additionally, these groups may share secrets, based on the embedded cybersecurity function CANsec. The presentation will present how CAN XL features ease the life of system integrators in future.

What the audience will learn

• Embedded CAN XL features, assisting setup of backbone networks
• Third generation of CAN, CAN with eXtnded datafield Length
• Scalability of CAN XL

Autonomy is a major characteristic of the next generation of industrial vehicles such as off-road loaders, mining machinery, diggers, tractors, cranes and lift-trucks. It is the key to address skills shortage, implement tasks that go beyond human skills, and increase productivity by 24/7 operation. A major issue with the introduction of autonomy is safety. Autonomy requires a paradigm shift in safety engineering and leads to new safety regulation, standards and requirements. What does this mean for suppliers, OEMs and operators of industrial vehicles?

What the audience will learn

• Why is safety the key to achieve performant autonomy?
• Why is current safety regulation and standardization not sufficient for performant autonomy?
• How can safe and performant autonomy be achieved and how is this reflected in upcoming safety standards?
• What does all this mean for component supplier, vehicle manufacturer and operator?

Those thinking that machine autonomy is a vision of the future need to think again. Autonomy increases the value of machines by enabling greater precision, increasing safety, and boosting productivity. This added value for end users translates to a competitive advantage for OEMs. Autonomous solutions from Danfoss are already in use in many industries. In this session we look into a use case. Where the Danfoss Autonomy Custom Engineering Services (ACES) team worked with an OEM to create a custom application - using the PLUS+1 Autonomy platform and advanced sensor management. We will show how you can do it too.

What the audience will learn

• 1. Detailed information about the use case objective and outcome.
• 2. Practical guidance on how advanced sensors and software algorithms improve the vehicles overall safety, productivity, and precision
• 3. How Danfoss Autonomy enables machine manufacturers to add operator assist and autonomous features to their vehicles, today
• 4. For OEMs who have software engineering in-house, they will find out how the Plus+1 Autonomy software tools facilitate fast integration of steering, drivetrain, braking, remote control, and advanced sensors to custom software applications
• 5. For OEMs who do not have software in-house, they will find out how the ACES team can build complex vehicle applications for them.

Improving the construction process efficiency requires constant data collection from the mobile machinery of the construction site. The efficient use of 3D machine control requires reception of accurate positioning and for example interaction with BIM models. When equipment autonomy is increasing, requirements for machine swarming related connectivity, video feed and even remote control signal is increasing. This presentation describes the findings of a field study; how all this connectivity was implemented in a effective way to a set of construction vehicles?

What the audience will learn

• Solving the essential connectivity requirements
• Combining WiFi and cellular technologies
• Solving cloud access and vehicle to vehicle connecitivity for industrial processes

Bosch Rexroth offers a comprehensive electronic eco-system with hardware, software and telematic services. As next step and as basis on the path towards automation. Bosch Rexroth is developing new microprocessor based high performance controllers for the off-highway market. OEMs can develop their own solutions based on this open, scalable and easy access platform. We will introduce solutions and ideas for a flexible safety ready base software including ROS2 and the integration of application software on different levels of the base software.

What the audience will learn

• - What Bosch Rexroth thinks a modern base software stack for uP based systems should look like
• - How easy different use cases can be covered with such a solution
• - How safety can be handled with the base software
• - Integration example: Perception stack

GNSS is crucial in mining. Vehicles that operate in open-pit mines must be navigated with precision for both safety and efficiency. GNSS satellite signals can be blocked by the walls and topography of a mine. This reduces the reliability and accuracy, and, therefore, the overall useability of GNSS and automated vehicles. Geospatial GNSS Augmentation and forecasting provide comprehensive predictions of GNSS performance considering the topography of the mine, buildings, and line-of-sight determination of satellites as they orbit. Prediction of GNSS performance enables automated trucking, mining, survey, and fleet tracking to avoid areas of poor coverage or augment to improve performance.

What the audience will learn

• Applications of GNSS for industrial vehicles
• Awareness of GNSS/RTK/PPP limitations in mining or urban environments
• Understanding of Geospatial GNSS Augmentation & Forecasting technology
• Applications of Geospatial GNSS Augmentation with existing vehicles
• Improvement of positioning performance using Geospatial GNSS Augmentation

Agriculture production has wide variety across crop types, tasks to be performed, and environments. Autonomous machines can bring enormous benefits in the optimizing of workflows but solutions need to be flexible and adaptable to the variety of jobs in agriculture. JCA’s Autonomous Framework is a set of technology building blocks within a connected architecture that addresses all the key subsystems of autonomous machines and is adaptable to suit the variety of tasks in agriculture. It has been shaped through application of many diverse autonomous machine programs and serves as robust platform on which to develop unique machine autonomy systems.

What the audience will learn

• Overview of the technology that make up the Autonomous Framework – from perception, navigation, mission management to safety
• The benefits of a framework approach to adaptable autonomous systems
• How autonomy brings value to farmers through workflow optimization across tasks
• Real-world examples of the autonomous framework in action across autonomous machine programs

Software is transforming the world of automated vehicles and defining the future of autonomy. Increasingly complex perception, fusion, and path planning algorithms for navigation in demanding environments, new sensor technologies, high-performance data exchange in real-time, artificial intelligence, and deployment in series production pose several challenges. This talk focuses on lessons learned from the automotive industry. It explains how you can significantly reduce costs by using a consistent framework for software development, validation, and deployment in production. Case studies illustrate how to you can facilitate your development process and leverage proven solutions to achieve your goals faster.

What the audience will learn

• Best practices learned from the automotive industry when developing and testing complex multi-sensor applications
• How to close the gap between software development in early stages, series development and deployment in production vehicles?
• Relevant safety and communication standards
• Getting to know an advanced framework for component-based software development featuring a comprehensive library of sensor, perception and navigation algorithms
• Case studies and example implementations from industrial and unmanned vehicles

Mobile working machines are becoming more and more intelligent. As a result, more and more data is available to be transferred to databases. As part of the Off-Highway Twins project, researchers are investigating how environmental models can be innovated and improved with data from mobile working machines. In this presentation, a wheel loader is used as a use case to show some examples of sensor data that will be available to us in the future. This could include the creation of collision models or the better planning of driving routes of automated mobile machines. It will also show what environmental data can be generated from sensor signals and how it can be transferred to cloud databases.

What the audience will learn

• What types of sensors can be used to collect data?
• What kind of environmental models can be obtained from them?
• How can the interface to the cloud be built.

In the control of off-highway equipment every milliamp matters. Husco has benchmarked over 100 machines and worked with countless OEMs developing and fine-tuning hydraulics systems. Today over 95% of new systems developed have electro-hydraulic content included and increasingly expected to be automation ready – but how easy is the step to enable precision automation? How do you move from operator to software control? This study walks through some of the key control challenges and uses data from real system testing to highlight the key challenges and methods used to enable fast, precise, robust, repeatable control of any electro-hydraulic system.

What the audience will learn

• How to enable machine controls to be more repeatable, productive, and efficient across products
• Sources of error in hydraulic control and ways to improve
• Software, controllers, drivers, electro-hydraulic hardware, and machine geometry are all sources of potential system control variation.
• How a Hydraulic Control Unit (HCU), enables the OEMs to focus on their value add
• How to simplify the hydraulic system controls to bring new machine controls, powerplants, and features to market faster

Industrial cameras often blur in challenging lightning environments when under motion, translating to poor visual data for computer vision algorithms. This poses an issue for industrial vehicles as they transition to autonomous operation, as most industrial applications involve some combination of motion with uncontrolled lighting, high vibration, shadowing, low light, or solar glare. Despite the advances in LiDAR to offset these shortcomings, visual imaging remains desirable for scenarios such as characterization and differentiation of objects of interest. This talk discusses new perception systems for real-time, fast-motion, color optical imagery under the harshest environmental challenges: single photon perception.

What the audience will learn

• Reliable optical sensing technology for industrial vehicles that operate in harsh environments
• Timelines and roadmaps of next generation optical imaging methods for harsh environments
• Comparisons between LiDAR, Radar, and Optical Imagery for industrial vehicles

Successfully navigating a vehicle autonomously requires creating a coverage plan in advance, and the ability to dynamically detect and respond to changes in the environment during operation. Gain a better understanding of two primary building blocks of autonomous technologies: the path planning module and the controls system module. The path planning module consists of a set of libraries and web services designed for the purpose of feasibly navigating a vehicle through an area that includes obstacles or avoidance zones. Vehicles can have different steering and collision models, including articulated and four-wheel steering machines, and also supports different types of implements, such as 3-point implements, fixed implements, or drawbar implements. The path planning libraries and services solve multiple navigation problems common in agricultural or civil construction projects such as simple pose-to-pose navigation, full area coverage and route planning. Start-ups, OEMs, and select resellers can use these libraries and cloud services or embed path planning in computing devices as part of their solution.

What the audience will learn

• Autonomy - A journey of automation
• Lessons learned from real-world applications
• Challenges for product development

Traditional pavement engineering requires special geospatial equipment, high precision, resources, coordination between stakeholders and a lot of time, while execution time is always under pressure. Engineering offices, road construction companies and road equipment companies are searching for innovative solutions that facilitates and highly automates the process flow. Measuring road foundation at the speed of a driving vehicle without regular alignment with total stations creates the opportunity to virtually design the new road faster, more accurate and ready for execution. This paper presents a use case in development phase on how a special Road LiDAR is becoming a breakthrough in the process.

What the audience will learn

• - Use of digital surface models in road design
• - New LiDAR technology filling the gap between geo-lidars and automotive lidars
• - Use Case in Ontario, CA

Nerospec SK is making miners safer and more productive with fleetwide, end-to-end machine automation solutions such as full automation, fleet data monitoring, and underground network solutions. The latest autonomy solution advancement has led to a fully autonomous loader that works completely unattended by humans right after the blasting has taken place. The loader navigates to its underground working location, develops a muck pile attack strategy, executes the strategy with correction capabilities to effectively load the bucket until properly filled, and then the loader navigates to dumping into the crusher. Finally, more than 20% overall equipment effectiveness enhancement can be achieved.

What the audience will learn

• The Mining Automation Operation Cycle
• Challenges of the Mining Application Environment for Automation
• How Nerospec SK Approaches Mining Automation
• Performance Results of Automated System
• Benefits of Automation Systems in Mining

Miunske GmbH and AST (Professorship of Agricultural Systems and Technology, TU Dresden) are developing a new sensor system, which is able to detect air velocity and direction on one probe. In addition to many stationary applications, the sensor is designed to be used in mobile working machines e.g. combine harvesters. The ceramic probe is flat, has diameter of less than 30mm and can be mounted in walls, which enables to be non-invasive. This is very important in particle laden or dusty flows. The working principle of the sensor will explained in the speech, as well as the status of development.

What the audience will learn

• Measurement principle of “SpeeDiFlow” sensor
• Determination of magnitude and direction of air flow based on heat distribution on a ceramic surface
• Results of lab tests and CFD simulations
• Benefits and possible fields of application of non-invasive air measurement
• Ideas to increase sensor dynamics and stability

As a specialist for data collection as well as ECU-development, b-plus gives you the optimal insight into the variety of applications in the field of data replay and injection of simulated data. b-plus offers useful tips and tricks on how to detect and fix bugs in your sensor/ ECU algorithm at an early stage using small HiL systems at the developer's desk - but that is not all: in addition to that, we also demonstrate expansion options up to a fully equipped HiL-rack-system for high-bandwidths in 24/7-operation. Benefit from the know-how of a data specialist.

What the audience will learn

• Inject raw and bus data to ECUs and AD systems
• Time synchronized replay
• HIL setups in data center environments

True-ground-speed works contactless regardless of wheel / track slip, sinking in and effective tire circumference. Vehicular contactless true-ground-speed measurement deploying Doppler Radar, XY directional optical flow and fusion GNSS are exemplified by MSO´s solutions. True-ground-speed measurement is paramount for improving localization for autonomy, safety and energy efficiency of vehicular indoor (e.g. AGV, forklift), off-highway (e.g. construction, mining, underground mining machinery), agricultural, defense and rail applications. Application specific pros and cons of the sensors are elucidated.

What the audience will learn

• Vehicular true-ground-speed measurement solutions
• Different physical sensor principles, their pros and cons
• Implementations and Applications
• Improvement of autonomy, backing GNSS INS

With a plug-and-play capable, fully electronic power distribution unit, the connected loads in the autonomous or semi- autonomous off-highway vehicle can be monitored. The intelligent power distribution unit enables the control and diagnosis of loads via the CAN bus. Load current and voltage measurement as well as integrated load protection allow load management and preventive maintenance. Fuses are replaced. In the event of a fault, remote reactivation is possible. Thus autonomous working machines and functions can be realized. Vehicle downtime can be reduced or avoided altogether. By integrating the load displays into the service HMI, the information can be used quickly for troubleshooting.

What the audience will learn

• Enhanced uptime of the industrial vehicle
• Time savings and cost reduction in the event of service
• Technology for autonomous vehicles

The lifecycle of connected machines encompasses the various stages involved in the development, deployment, operation, and retirement of machines equipped with connectivity capabilities. Connected machines, often referred to as Internet of Things (IoT) devices, are embedded with sensors, processors, and communication technologies that enable them to collect and exchange data with other devices or centralized systems. Understanding the lifecycle of connected machines is essential for effectively managing and optimizing their performance, security, and overall value. This presentation will give an advanced inside to the lifecycle of industrial vehicles, including an embedded diagnostic functionality.

What the audience will learn

• Advanced possibilities for IoT in machines
• Lifecycle suggestion for telematics
• Beneficial use cases of telematics and diagnostics

Driving assistance in vehicles based on radars and cameras are coming up soon. But how do you build driving assistance functions? We show which sensors can be used, especially the advantages and limits of cameras. The possibilities and results of deep learning allow to recognize a scenerie around the vehicle. With this data you can implement ADAS functions and warning systems as well as steering functions for braking and Autonomy. We show how you can make your machine see with AI.

What the audience will learn

• Advantage of Camera sensors
• Possibilities and limits with Deep Learning
• Achievements for more Safety
• Achievements for Driving Assitance and ADAS
• Future Outlook for OEMs

We'll focus on latest technologies and products applied in the most advanced HMIs of the automotive segment based on Preh's intensive product management knowledge. The related features will be analyzed and clustered by challenging them with the requirements of the agricultural and off-highway markets. As you would expect - some will fail to be applicable but others are interesting to support Preh CVs strategy to "do more with less".

What the audience will learn

• Automotive technology trends
• Reference to applicable technology in off-highway segment. Criteria, parameters and consequences.
• Advantages and challenges of latest, applicable technologies
• System outlook

Who will the machine operators of the future be – and what demands will they have regarding their job? What are the psychological foundations for the information processing of humans? What can we learn from cutting edge in-cab technology for passenger cars? What challenges will the evolution of mobile machines add to the current situation? Michael Glunk, Head of the program Driver's Workplace at Continental´s Automotive business segment Commercial and Special Vehicles looks deep into the preconditions that define the operator´s workplace of the future. Based on his findings, he casts a spotlight on some of the technologies we will likely see.

What the audience will learn

• the psychological foundations for the information processing of humans
• innovations adapted from cutting-edge passenger car technology
• the expectations of future, more demanding job starters regarding their work
• pressure to increase a machine´s efficiency and value creation

Gone are the days when the complete system was be done by a single developer and even a single company, instead we rely on systems from 3rd party providers, sometimes resulting in a vehicle cabin with a plethora of diverse displays and systems. At the same time, there is a drive towards better user experiences, operator support systems and productivity tools that can be improved over the machine lifetime. In this speech we will look into approaches for computation hardware and software that can enable realization of new and coming system functionality to realize homogenous and upgradeable operator environments.

What the audience will learn

• A good user interaction for safe and effective operation
• How a good software framework can enable integration of HMI functionality on displays for a homogenous experience.
• Hardware and software integration that enables new functionalllity, interaction and development speed.

Software: What's involved in creating your own safety function block? The advent of the Machine Product Regulation brings a clear signal of what software must comply with in a safety application. During the Safety Engineering Event, we will be happy to explain the steps that can be followed to certify a homemade safety function block so that the software is equivalent to a safety component. Consider crane construction, for example, where we often see the Rated Capacity Limiter being created in an Excel to put all the numbers together. How do you certify safety a function block? How is it reported and documented?

What the audience will learn

• Is there a safe crane? With certified software from the RCL (Rated Capacity Limiter)?
• How many Cranes are really safe now? Particularly on the software side.
• Excavators and aerial work platforms on the track must comply with safe software. Is your software really safe?
• How do you make an AGV's navigation software really safe? What steps should you go through?
• What are the steps to follow when creating a Software safety function block in EN-IEC-61508?

Bird’s eye view systems are more and more present. High resolution IP-cameras with large viewing angle are mounted around the vehicle and send their image to a control unit, which calculates the bird’s eye view image of the vehicle’s environment top view. This image is then presented to the driver on a display in the cabin. Graf-Syteco has now integrated this functionality into operating and control devices which show this image on the display parallel to the visualization to reduce the number of displays in the cabin. Additionally, this image is forwarded to an artificial intelligence which is able to detect people and objects in the near environment of the machine and warn the operator with an optical and acoustic signal. Even a machine stop is thinkable. Like an automatic distance cruise control this new assistant system can help to avoid accidents and makes construction sites a bit safer.

What the audience will learn

• With the bird’s eye image on the display the machine operator has the environment in view at any time
• The artificial intelligence recognizes people and objects and issue a warning signal when it predicts that people will enter a dangerous zone soon
• The combination of bird’s eye view and AI creates an assistant system which enables the operator, who is mostly concentrated on his work, to react early enough to avoid accidents

Recent advances in hardware capacity along with the breakthrough of deep learning opened a new era for vision applications applied to the industry, going from safety to productivity. In the presentation we will zoom in on safety applications thanks to pedestrian detection around the vehicle: the current state of the art, the challenges and the trends for the following years. The presentation will go beyond pedestrian detection to explore the spectrum of features offered to the industrial vehicle thanks to the vision technology

What the audience will learn

• Pedestrian detection using embedded vision technology for industrial vehicle
• Benchmark of the current solutions
• Pedestrian detection challenges
• Trends in vision technology in the upcoming years

Mobile cooling of cabins, cargo areas, batteries and EV systems represents a significant percentage of the energy consumed in modern vehicles and machinery. This impacts on the overall carbon footprint of any specific vehicle or machine. This presentation will examine the HVAC/R systems needed to undertake these tasks and examine them from a refrigerant flow perspective, and with an emphasis on their implications for cabin design, and operator safety and comfort. The choice of refrigerant and how each is used has significant impact on the environmental and human safety outcomes when these systems are operated. Specific attention will be given to techniques to reduce leakage, improve performance and increase life cycles of complete HVAC/R systems.

What the audience will learn

• How to design and set up an efficient refrigeration circuit
• Techniques to achieve low refrigerant gas leakage in high performance systems
• Design parameters to ensure adequate flow of refrigerant in systems to enhance performance and the life cycles of equipment
• Implementing specific design and system installation parameters to ensure adequate flow of lubricants in systems
• Control of thermal parameters, pressure, and temperature in modern compressors for large electric vehicles and machinery

In this introduction, Martijn will set the stage for this session by describing the THEIA-XR project, and how XR impacts and benefits the interaction between user and machine as demonstrated in the following presentations and panel discussion. Martijn will moderate the session.

This Presentation reports on our advanced prototyping framework for augmenting multimodal human-machine interaction (HMI). The framework considers new tools for developing advanced interaction technology and functionalities, their perception, and communication with humans. It provides an interactive and flexible environment to test and examine interaction concepts and the roles of future operators. Implementing capable prototyping in early phases of product development is essential in novel HMI to accelerate development processes and reduce uncertainties regarding autonomous machines, making them easy to apply in HMI development processes in the industry. We showcase some of our existing prototypes and give an outlook for our XR-Prototypes in the TheiaXR-project that will be designed to give insights into the design of user interfaces for cyber-physical systems across all industrial domains.

What the audience will learn

• What makes XR-Prototyping so special?
• What and how do we combine tools to achieve immersive and interactive prototypes with low setup efforts?
• How do we effectively use prototyping for novel XR-HMI?

The presentation will briefly describe and explain the main challenge when using AR in outdoor environments, which is accurate registration of content to the real world. An affordable solution to perform mobile handheld AR will be presented, together with a use-case to highlight underground infrastructure on road surfaces. Based on the setup in TheiaXR, several scenarios to use head-worn, handheld and projector based options to present relevant content to the operator will be presented.

What the audience will learn

• Illustration of basic registration challenge to make outdoor AR actually work
• Example of affordable outdoor registration setup for mobile use
• Use-case example to perform spray-marking of underground infrastructure on normal roads
• Outlook to use XR technology in TheiaXR

This presentation will introduce how to exploit XR in novel cabin concepts and operator support. There will be two use cases of designing and evaluating the novel cabin concept with XR features with end-user. The use cases are 1) mining machine, and 2) tram. Also, future implementation of XR supported remote operation will be introduced. At the end of the presentation the EuroXR Association will be introduced and with details of how to exploit it in XR dissemination.

What the audience will learn

• How to use XR for novel cabin concept design
• Added value of XR in novel concepts evaluation
• Future plans of using XR in remote operations
• How to exploit EuroXR association in XR dissemination

AR can be used to provide operators with real-time visualization of important information, such as container positions and weight distribution. This can help operators make more informed decisions and work more efficiently and safely. VR and AR can be used to customize the user interface of container-handling machines to meet the specific needs of individual operators. VR and AR visualizations can help operators and maintenance teams monitor machine performance and identify potential issues before they become major problems. AR can be used to provide remote assistance to operators in the field. VR can be used to provide simulation-based training to operators, allowing them to practice operating the machines in a realistic virtual environment.

What the audience will learn

• Improve situational awareness of operators -> Improved productivity and safety
• Improve UX of the machine’s HMI
• Support maintenance persons remotely
• Help to maintain machines correctly
• Train employees without real machines

Design matters. As in the automotive industry, lighting is a main brand identifier. And the only one that works in the dark. How can we do this in a clever way? ”Nobody actually wants to think about right Work Lighting” The optimal work light for an operator is daylight from the sun. This is what we want to re-create with artficial light on a machine. We want to do this fully automatically so that the operator could focus on his main task. With automated and electric vehicles there will be new challenges. They should be solved within the same system.

What the audience will learn

• A vision for the future in machine lighting
• Design Matters – Brand Building with lights
• Can one system solve all machine lighting issues?
• Case - Design
• Case – INTELLilight

Getting the essential information into the line of sight improves not only the efficiency but also safety. This information will be available all the time as needed within the field of view, without losing the focus on a work, and therefore increasing the safety related information awareness. An HUD solution is also beneficial as ergonomics can be improved by cutting down the required head movement. This presentation will describe HUD benefits focusing on safety and ergonomics aspects. It will also give basics on the technology Lumineq uses to realize this

What the audience will learn

• Safety additions
• Ergonomics improvements
• Display technology
• Installation & integration

The true essence of the theme of ergonomics is at the center of AMA’s Research & Development concept, i.e. problems regarding human work in relation to the design of machines and work environments. Starting from this assumption, AMA has designed and manufactured a series of products that manage to concentrate the complete control of the machine into a single device, making it immediately and easily available to the operator. The result is that space in the cabin is freed up, thus increasing its habitability and allowing greater visibility of the external environment. All this translates into increased safety in maneuvering the machine, also to the advantage of those operators who work outside the vehicle, as well as greater comfort in the cabin, all of which determines a significant reduction in the risk of accidents and occupational diseases, with an immediate increase in efficiency and productivity.

What the audience will learn

• How to improve the cabin interior space
• How to optimize the machine control for the operator
• What does ergonomics mean for safety & health for the operator
• AMA solutions for modern vehicle interiors

Digital cameras offer the opportunity of image processing by AI in the camera. The camera generates sensor information additionally to the camera image with Smart camera AI. The ArkVisionUnit digital video monitor is based on the ANEDO display platform. The platform also suits as a HMI device for machine control. Combining the HMI functionality with the video monitor functionality in one device offers flexible, software-only interfaces to use smart camera AI sensor data in the machine control application. A use case prototype will demonstrate the concept and additional opportunities of integrating AI based sensor data into machine control.

What the audience will learn

• What does AI and image processing enable in the digital video system besides the pure display image?
• How can the additional information from the AI and image processing be used for the machines’ control system?
• What role does the display device play as a connecting unit in both systems?

Electrification is the megatrend for industrial vehicles as well. In this context, the interior operating concepts of electric transporters and last-mile delivery applications are also changing. In addition to the central touch screens to control comfort functions, haptic HMI elements are still needed in modern cabs, especially for safety-relevant applications. The presentation will give you insights into the latest requirements of vehicle interiors and the variety of freely available standard variants of EAO´s Series 09 Universal Switch, diverse application possibilities and concrete ideas / case studies for new Interior concepts.

What the audience will learn

• Requirements of modern vehicle interiors
• See interesting case studies of new Interior HMI concepts
• See typical use-cases of our Series 09 Universal Switch, including safety relevant applications.
• UX support for your individual User concept and insights in current projects
• Benefit from the experience of our competence centre for automotive, heavy-duty and special vehicles

The goal of Advanced Driver Assistance Systems is to protect lives by providing better visibility of hazardous areas around commercial vehicles and mobile machinery. Camera-based systems are designed to make mobile machine operators more successful by preventing property damage and automating mobile processes. The challenge in commercial vehicles is that there are many different types of commercial vehicles on the market with very different appearances. This leads to facing several challenges in the field of camera-based systems around machine learning. We present solutions to more flexible camera attachment positions and the resulting need for new training data for machine learning.

What the audience will learn

• What are the challenges to be met in the commercial vehicle industry?
• How to close the data gap with the variety of use cases?
• New way to close the data gap with summed data!
• Possibilities to meet different use cases with the combination of hardware.

The presentation will inform the listener on the options and the requirements to consider when designing a control handle solution (grip and joystick). Strength, forces, electrical interface (analog, digital, CANbus, etc.) and well as ergonomics, switch placement and more unique options will all be discussed. Common mistakes will also be discussed.

What the audience will learn

• Better understanding of the control options that should be considered when designing control solutions for cabs
• Prioritizing requirements to avoid development delays
• Choosing the best electrical output and technology for your application
• Taking cab placement into consideration when selecting a grip shape

Monitoring temperature and pressure in a hydraulic system is relatively simple. However, many performance losses may still not be evident. Pumps and actuator performance can best be determined by monitoring their input or output flow. Until now there hasn’t been a simple fit-and-forget solution to monitoring hydraulic flow in the extreme environments seen by manned mobile & autonomous vehicles used in the earthmoving, mining, municipal vehicles, and handling industries. Webtec’s J1939 CAN compatible CTA flow monitor has been designed to address this need and can be connected to an in-cab HMI and/or connected to an IoT portal and monitored remotely.

What the audience will learn

• Rugged solution for flow and temperature monitoring of hydraulic pumps and actuators designed for on and off highway use
• Using hydraulic flow as early prediction of loss of machine efficiency
• Combining hydraulic flow, pressure and temperature monitoring to calculate total hydraulic power and total machine efficiency
• Easily connected to existing HMI or IoT gateway using native J1939 CAN BUS
• Enhance machine telematics to include hydraulic performance & offer a superior after-market service

COBO Keyless System is an electronic device which improves the recognition of a user of the machine, by simply approaching the machine or touching the door handle and pressing the start button. It can be integrated into COBO Ecosystem solution with benefits of: security against thefts, safety avoiding misuse, and user comfort setup. The presentation will describe benefits for customers and users for a keyless system and the next steps to develop such type of solution.

What the audience will learn

• The need for this device
• Product analysys and benefits
• Product development