MomADv2：端到端自动驾驶的可靠时序记忆
Original title: MomADv2: Reliable Temporal Memory for End-to-End Autonomous Driving
IndustryAI 60
Source: arXiv cs.ROPublish time unverified
arXiv:2608.23405v1 Announce Type: cross Abstract: Long-horizon planning is critical for safe autonomous driving in complex scenarios. Existing methods improve planning continuity with temporal memory, but such memory may become invalid and mislead decisions when the driving command changes. Thus, selectively leveraging useful history while suppressing command-inconsistent memory remains a key challenge.