Quantity over Quality: Training an AV Motion Planner with Large Scale Commodity Vision Data
Lukas Platinsky,Tayyab Naseer,Hui Chen,Ben Haines,Haoyue Zhu,Hugo Grimmett,Luca Del Pero,Lukas Platinsky,Tayyab Naseer,Hui Chen,Ben Haines,Haoyue Zhu,Hugo Grimmett,Luca Del Pero
With the Autonomous Vehicle (AV) industry shifting towards machine-learned approaches for motion plan-ning [1], the performance of self-driving systems is starting to rely heavily on large quantities of expert driving demon-strations. However, collecting this demonstration data typically involves expensive HD sensor suites (LiDAR + RADAR + cameras), which quickly becomes financially infeasible at ...
