World-action models (WAMs) jointly model future traffic states and driving actions for end-to-end autonomous driving in intelligent transportation systems. However, their action learning remains dominated by expert-trajectory imitation, leaving unsafe alternatives close to expert trajectories insufficiently constrained...
Zi-Hao Zhang, Xin-Yu Zhang, Bing Zeng et al.· 0 citations
Unmanned Aerial Vehicle (UAV)-based geo-localization supports autonomous navigation in GPS-denied or GPS-degraded environments by matching real-time UAV-view images with geo-referenced satellite imagery. A key challenge is to learn a discriminative retrieval space that remains robust to severe cross-view viewpoint...
Cheng-Yue Wang, Bin Rao, Yan-Chen Guan et al.· Communications in Transporta...· 0 citations
This survey reviews this transition across behavior cloning, conditional imitation learning, privileged distillation, BEV and vectorized planning, unified perception-prediction-planning architectures, world-model-based planners, and vision-language-action systems, finding open challenges in uncertainty-aware planning,...
Yan-Chen Guan, Xing-Chen Liu, Bin Rao et al.· 0 citations
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