Perception, Planning and Control
Brief:
This project investigates the perception, planning and control for unmanned aerial/ground vehicles.
Published papers related to this project:
Zhipeng Shen, Guanzhong Zhou, Hailong Huang, Chao Huang, Yutong Wang, Fei-Yue Wang, Convex Optimization-Based Trajectory Planning for Quadrotors Landing on Aerial Vehicle Carriers, IEEE Transactions on Intelligent Vehicles, 2023
Mingyang Lyu, Yibo Zhao, Hailong Huang, Range-Based Reactive Deployment of a Flying Robot for Target Coverage, Aerospace, 2022.
Hailong Huang, Andrey Savkin, Wei Ni, Online UAV Trajectory Planning for Covert Video Surveillance of Mobile Targets, IEEE Transactions on Automation Science and Engineering, 2021
Zhenxing Ming, Hailong Huang, A 3D Vision Cone Based Method for Collision Free Navigation of a Quadcopter UAV among Moving Obstacles, Drones, 2021.
Ashanie Gunathillake, Hailong Huang, Andrey Savkin, Sensor Network Based Navigation of a Mobile Robot for Extremum Seeking Using a Topology Map, IEEE Transactions on Industrial Informatics, 2019.
Andrey Savkin, Hailong Huang, Optimal aircraft planar navigation in static threat environments, IEEE Transactions on Aerospace and Electronic Systems, 2017.