Stabilizing Trajectory Outputs in End-to-end Autonomous Driving via SC-IMM Based Teacher Signals
End-to-End autonomous driving models commonly predict future waypoints from sensor inputs and convert them into vehicle control commands through a downstream controller. However, conventional waypoint-based imitation learning mainly minimizes coordinate-level errors, making it difficult to capture scene-dependent path-...