4 papers
Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic
Yuqi Liu, Qichao Zhang, Dongbin Zhao
Multi-task intersection navigation including the unprotected turning left, turning right, and going straight in dense traffic is still a challenging task for autonomous driving. Fo…
High-fidelity 3D Model Compression based on Key Spheres
Yuanzhan Li, Yuqi Liu, Yujie Lu +3
In recent years, neural signed distance function (SDF) has become one of the most effective representation methods for 3D models. By learning continuous SDFs in 3D space, neural ne…
A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios
Yuqi Liu, Qichao Zhang, Dongbin Zhao
In recent years, control under urban intersection scenarios becomes an emerging research topic. In such scenarios, the autonomous vehicle confronts complicated situations since it…
SN-Graph: a Minimalist 3D Object Representation for Classification
Siyu Zhang, Hui Cao, Yuqi Liu +4
Using deep learning techniques to process 3D objects has achieved many successes. However, few methods focus on the representation of 3D objects, which could be more effective for…