This work designs a training dataset that provides more informative supervision for the scorer and constructs two generators that perturb the logged human trajectory along the two axes a vehicle can be displaced: laterally toward the drivable boundary and longitudinally toward a leading vehicle.
Ya-Guang Li, Jia-Ru Zhang, Chu-Heng Wei et al.· 0 citations
This paper identifies a fundamental mismatch between direct action-conditioned prediction and counterfactual ground truth in driving world models, and introduces a deliberately simple, training-free pipeline that moves observed evidence into the counterfactual view and lets the frozen model complete what remains unknow...
CoRE is introduced, a weakly supervised coarse-to-fine framework that learns fine-grained prediction support from coarse video supervision, with strong temporal localization on DoTA and competitive performance on UCF-Crime.
This survey delivers a comprehensive and critical synthesis of the emerging role of GenAI across the autonomous driving stack, delving into the frontier applications of GenAI in image, LiDAR, trajectory, occupancy, and video generation, as well as LLM-guided reasoning and decision-making.
Yu-Ping Wang, Shuo Xing, C. Cui et al.· ACM Computing Surveys· 60 citations· ⚡2
A unified view of post-training for autonomous driving is presented by defining its scope and organizing the existing literature into four major families based on the form of supervision they use, which aim to facilitate a systematic understanding of this emerging area and stimulate future research on reliable and effi...
Ruining Yang, Mu Wang, Yi-Xiao Chen et al.· arXiv.org· 1 citation
GlanceWAM is introduced, which decouples imagination from control within a single video DiT: an asynchronous proposer glances ahead on a slow clock to imagine a single lookahead frame seconds into the future in the background, while an action head decodes action chunks at control rate purely in latent space without blo...
Lin-Han Wang, Zi-Jian An, Mingyuan Zhang et al.· 1 citation
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