78 citations · 84 across the 8 of their papers we have counts for
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cs.CV2026
LWDrive: Layer-Wise World-Model-Guided Vision-Language Model Planning for Autonomous Driving
Chen Yang, Yuhao Wei, Ze Xu +6
Vision-Language Models (VLMs) provide powerful semantic understanding and commonsense reasoning for End-to-End Autonomous Driving (E2E-AD) planning. However, trajectories directly…
cs.CV2025
Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving
Bin Hu, Zijian Lu, Haicheng Liao +7
Motion planning for autonomous driving must handle multiple plausible futures while remaining computationally efficient. Recent end-to-end systems and world-model-based planners pr…
cs.CV2023★ 78 cited
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models
Haicheng Liao, Huanming Shen, Zhenning Li +4
In the field of autonomous vehicles (AVs), accurately discerning commander intent and executing linguistic commands within a visual context presents a significant challenge. This p…