Data set creation for autonomous machines in an underground environment
Your autonomous development is intrinsically correlated to the data you use for teaching and training. You will need high-volume and/or relevant data for your specific applications. Counting only on real annotated data is limiting, time-consuming and expensive, even more so in complex environments such as ever-changing construction sites or underground tunnels. To complement an existing data set, generating data via simulation with very realistic models and easy access to more configurable parameters becomes a game-changer and can help to shorten development time and cost related to data set acquisition.