10 citations · 10 across the 3 of their papers we have counts for
5 papers
CoLMIN: LLM-based Multi-Decision Path Negotiation for Cooperative Autonomous Driving
Zhe Huang, Zhaoxin Fan, Shuo Wang +3
Multi-vehicle cooperative autonomous driving enhances the safety and reliability of autonomous driving systems through information sharing among connected vehicles, demonstrating s…
CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
Zhe Huang, Shuo Wang, Yongcai Wang +1
Collaborative 3D object detection holds significant importance in the field of autonomous driving, as it greatly enhances the perception capabilities of each individual agent by fa…
MambaVO: Deep Visual Odometry Based on Sequential Matching Refinement and Training Smoothing
Shuo Wang, Wanting Li, Yongcai Wang +5
Deep visual odometry has demonstrated great advancements by learning-to-optimize technology. This approach heavily relies on the visual matching across frames. However, ambiguous m…
GSLAMOT: A Tracklet and Query Graph-based Simultaneous Locating, Mapping, and Multiple Object Tracking System
Shuo Wang, Yongcai Wang, Zhimin Xu +5
For interacting with mobile objects in unfamiliar environments, simultaneously locating, mapping, and tracking the 3D poses of multiple objects are crucially required. This paper p…
RoCo:Robust Collaborative Perception By Iterative Object Matching and Pose Adjustment
Zhe Huang, Shuo Wang, Yongcai Wang +3
Collaborative autonomous driving with multiple vehicles usually requires the data fusion from multiple modalities. To ensure effective fusion, the data from each individual modalit…