activity
20222024
most citedRGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments

109 citations · 115 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO20241 cited

Robot Safe Planning In Dynamic Environments Based On Model Predictive Control Using Control Barrier Function

Zetao Lu, Kaijun Feng, Jun Xu +2

Implementing obstacle avoidance in dynamic environments is a challenging problem for robots. Model predictive control (MPC) is a popular strategy for dealing with this type of prob…

cs.RO2023

Multi-object Detection, Tracking and Prediction in Rugged Dynamic Environments

Shixing Huang, Zhihao Wang, Junyuan Ouyang +1

Multi-object tracking (MOT) has important applications in monitoring, logistics, and other fields. This paper develops a real-time multi-object tracking and prediction system in ru…

cs.CV20234 cited

Hierarchical Adaptive Voxel-guided Sampling for Real-time Applications in Large-scale Point Clouds

Junyuan Ouyang, Xiao Liu, Haoyao Chen

While point-based neural architectures have demonstrated their efficacy, the time-consuming sampler currently prevents them from performing real-time reasoning on scene-level point…

cs.RO20231 cited

Proxy-based Super Twisting Control Algorithm for Aerial Manipulators

Zhengyu Hua, Bowen Xu, Li Xing +3

Aerial manipulators are composed of an aerial multi-rotor that is equipped with a 6-DOF servo robot arm. To achieve precise position and attitude control during the arm's motion, i…

cs.RO2023109 cited

RGB-D Inertial Odometry for a Resource-Restricted Robot in Dynamic Environments

Jianheng Liu, Xuanfu Li, Yueqian Liu +1

Current simultaneous localization and mapping (SLAM) algorithms perform well in static environments but easily fail in dynamic environments. Recent works introduce deep learning-ba…

cs.CV2022

Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness

Junyuan Ouyang, Haoyao Chen

Accurate 3D object detection with LiDAR is critical for autonomous driving. Existing research is all based on the flat-world assumption. However, the actual road can be complex wit…