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

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