Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data. (arXiv:2203.01681v1 [cs.RO])

With the Autonomous Vehicle (AV) industry shifting towards Autonomy 2.0, the
performance of self-driving systems starts to rely heavily on large quantities
of expert driving demonstrations. However, collecting this demonstration data
typically involves expensive HD sensor suites (LiDAR + RADAR + cameras), which
quickly becomes financially infeasible at the scales required. This motivates
the use of commodity vision sensors for data collection, which are an order of
magnitude cheaper than the HD sensor suites, but offer lower fidelity. If it …

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