Originally published at: How DRIVE AGX, CUDA and TensorRT Achieve Fast, Accurate Autonomous Vehicle Perception | NVIDIA Technical Blog
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…