AI RESEARCH
Foundation Models for Trajectory Planning in Autonomous Driving: A Review of Progress and Open Challenges
arXiv CS.CV
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ArXi:2512.00021v2 Announce Type: replace-cross The emergence of multi-modal foundation models has markedly transformed the technology for autonomous driving, shifting away from conventional and mostly hand-crafted design choices towards unified, foundation-model-based approaches, capable of directly inferring motion trajectories from raw sensory inputs. This new class of methods can also incorporate natural language as an additional modality, with Vision-Language-Action (VLA) models serving as a representative example.