As autonomous trucks move beyond urban environments and into long-haul operations, their perception systems must adapt to the unique challenges of large vehicle navigation, sensor integration, and diverse weather conditions. This presentation explores the differences between autonomous truck and passenger vehicle perception, highlighting advancements in sensor technologies, data fusion, and AI. 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:
- Key differences in sensor needs and obstacle detection for large vehicles
- How lidar, radar, and cameras are evolving for long-distance trucking
- Potential industry impact and the path forward for widespread adoption
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