activity
20172023
most citedOpen-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning

25 citations · 87 across the 60 of their papers we have counts for

collaborators
Showing 2021Show all

17 papers · 1 filter

cs.RO2021

Electric Vehicle Automatic Charging System Based on Vision-force Fusion

Dashun Guo, Liang Xie, Hongxiang Yu +2

Electric vehicles are an emerging means of transportation with environmental friendliness. The automatic charging is a hot topic in this field that is full of challenges. We introd…

cs.CV2021

Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation

Jun Wu, Lilu Liu, Yue Wang +1

Current monocular-based 6D object pose estimation methods generally achieve less competitive results than RGBD-based methods, mostly due to the lack of 3D information. To make up t…

cs.CV2021

Domain Generalization for Vision-based Driving Trajectory Generation

Yunkai Wang, Dongkun Zhang, Yuxiang Cui +5

One of the challenges in vision-based driving trajectory generation is dealing with out-of-distribution scenarios. In this paper, we propose a domain generalization method for visi…

cs.RO2021★ 5 cited

HiTMap: A Hierarchical Topological Map Representation for Navigation in Unknown Environments

Xuecheng Xu, Cheng Wang, Yue Wang +1

The ability to autonomously navigate in unknown environments is important for mobile robots. The map is the core component to achieve this. Most map representations rely on drift-f…

cs.RO2021

Learning Observation-Based Certifiable Safe Policy for Decentralized Multi-Robot Navigation

Yuxiang Cui, Longzhong Lin, Xiaolong Huang +3

Safety is of great importance in multi-robot navigation problems. In this paper, we propose a control barrier function (CBF) based optimizer that ensures robot safety with both hig…

cs.RO2021

Socially-Aware Multi-Agent Following with 2D Laser Scans via Deep Reinforcement Learning and Potential Field

Yuxiang Cui, Xiaolong Huang, Yue Wang +1

Target following in dynamic pedestrian environments is an important task for mobile robots. However, it is challenging to keep tracking the target while avoiding collisions in crow…