How Centralized Radar Processing on NVIDIA DRIVE Enables Safer, Smarter Level 4 Autonomy
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
In the current state of automotive radar, machine learning engineers can't work with camera-equivalent raw RGB images. Instead, they work with the output of...
In the current state of automotive radar, machine learning engineers can’t work with camera-equivalent raw RGB images. Instead, they work with the output of radar constant false alarm rate (CFAR), which is similar to computer vision (CV) edge detections. The communications and compute architectures haven’t kept pace with trends in AI and the needs of Level 4 autonomy, despite radar being a staple…
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