1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2026
ForeDrive: Foresight-Guided End-to-End Autonomous Driving with a Planning-Relevant Latent World Model
Sinuo Wang, Zichong Gu, Yuhan Huang +10
Existing latent world models are typically optimized for future predictability, yet the resulting representations are not necessarily useful for planning in autonomous driving. Pre…
cs.RO2026
ConsistencyPlanner: Real-time Planning with Fast-Sampling Consistency Models
Qichao Zhang, Xing Fang, Jiaqi Fang +4
Closed-loop planning in complex, real-world driving scenarios presents a critical challenge for autonomous driving systems. While traditional rule-based methods are interpretable,…
cs.CV2024★ 1 cited
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Jianhua Wu, Bingzhao Gao, Jincheng Gao +8
With the development of artificial intelligence and breakthroughs in deep learning, large-scale Foundation Models (FMs), such as GPT, Sora, etc., have achieved remarkable results i…