Closed-loop driving simulation requires rendered observations to remain reliable as the ego vehicle and surrounding actors move beyond their recorded trajectories, exposing views absent from the source log. Existing data-driven simulators reconstruct dynamic actors from sparse observations, which can result in renderin...
Zi-Jun Zhao, Lie-Wen Liao, Kang Shen et al.· 0 citations
Manual dense annotation remains a major obstacle to deploying semantic segmentation models in new driving environments. Active domain adaptation (ADA) seeks label-efficient transfer by annotating only a selected portion of the target domain. Existing ADA methods commonly implement this process through multiple rounds o...
Wei-Hao Yan, Ye-Qiang Qian, Yue-Yuan Li et al.· 0 citations
RoadWeaver is presented, a coarse-to-fine framework for from-scratch generation of diverse, large-scale HD maps, which first synthesizes a global road layout, expands it into a connected road network, and then constructs lane-level geometry with topologically consistent lane connectivity.
Yue-Yuan Li, Zexi Chen, Weijie Xi et al.· 1 citation
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