The goal of autonomous driving within the context of the truck industry is to reach a stage where trucks can operate in a fully driverless mode. Driverless trucks must be able to function correctly and safely in diverse road operational scenarios and weather conditions. This presentation explores how Traton tackles the problem with a Data and AI first approach, as well as some of the unique challenges that we face in autonomous systems and sensors. It also provides an outlook on the future of autonomous trucking, focusing on the transformative potential for the logistics industry.
In this session, you will gain insights into:
- Sensor requirements and evolution for autonomous trucking
- How we handle the big-data challenges in autonomous vehicle development
- How we use and AI methods and training and close the ML loop
- Potential industry impact and the path forward for widespread adoption
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