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For self-driving cars in motion you don't need a monster GPU - the hard part of training is where you need a supercomputer; the "in driving" requirements are mo
by bitL 10y ago
For self-driving cars in motion you don't need a monster GPU - the hard part of training is where you need a supercomputer; the "in driving" requirements are mostly about making a prediction in a short time on a pre-trained network (if you use deep learning). As for LiDAR, you reduce scanning radius to distance you can handle in realtime.
- gnipgnip 10y agoClearly you've never run any of the object detection nets. State of the art is still 70 fps on Pascal for a 300x300 image.
- deepnotderp 10y agoI'm unaware of what else can run a 3D Wide-ResNet on lidar data at 480FPS. If you do find something like that, let me know!