4 papers
U-ViLAR: Uncertainty-Aware Visual Localization for Autonomous Driving via Differentiable Association and Registration
Xiaofan Li, Zhihao Xu, Chenming Wu +11
Accurate localization using visual information is a critical yet challenging task, especially in urban environments where nearby buildings and construction sites significantly degr…
DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment
Xiaofan Li, Chenming Wu, Zhao Yang +5
This paper presents DriVerse, a generative model for simulating navigation-driven driving scenes from a single image and a future trajectory. Previous autonomous driving world mode…
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
Zhiyuan Zhang, Xiaofan Li, Zhihao Xu +4
Autonomous driving visual question answering (AD-VQA) aims to answer questions related to perception, prediction, and planning based on given driving scene images, heavily relying…
DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
Zhao Yang, Zezhong Qian, Xiaofan Li +5
Accurate and high-fidelity driving scene reconstruction demands the effective utilization of comprehensive scene information as conditional inputs. Existing methods predominantly r…