Autonomous vehicles are complex, requiring fast and accurate perception of their surroundings to make decisions in real-time. This capability calls for high-performance AI compute to enable the wide range of tasks required for autonomous driving, including multi-stage sensor data processing, and obstacle detection as well as traffic sign and lane recognition. With the CUDA toolkit and��
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