4 papers
Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms
Nachuan Ma, Zhengfei Song, Qiang Hu +5
In the emerging field of urban digital twins (UDTs), advancing intelligent road inspection (IRI) vehicles with automatic road crack detection systems is essential for maintaining c…
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
Yi Feng, Yu Han, Xijing Zhang +3
Inferring the 3D structure of a scene from a single image is an ill-posed and challenging problem in the field of vision-centric autonomous driving. Existing methods usually employ…
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation
Yu Han, Ziwei Long, Yanting Zhang +3
Correspondence matching plays a crucial role in numerous robotics applications. In comparison to conventional hand-crafted methods and recent data-driven approaches, there is signi…
Towards Effective Multi-Moving-Camera Tracking: A New Dataset and Lightweight Link Model
Yanting Zhang, Shuanghong Wang, Qingxiang Wang +2
Ensuring driving safety for autonomous vehicles has become increasingly crucial, highlighting the need for systematic tracking of on-road pedestrians. Most vehicles are equipped wi…