Real-time path planning of unmanned aerial vehicle for target tracking and obstacle avoidance in complex dynamic environment
Top Cited Papers
- 1 December 2015
- journal article
- Published by Elsevier BV in Aerospace Science and Technology
- Vol. 47, 269-279
- https://doi.org/10.1016/j.ast.2015.09.037
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (61175084)
- Program for Changjiang Scholars and Innovative Research Team in University (IRT13004)
This publication has 19 references indexed in Scilit:
- Chaotic predator–prey biogeography-based optimization approach for UCAV path planningAerospace Science and Technology, 2014
- Real-time trajectory planning for UCAV air-to-surface attack using inverse dynamics optimization method and receding horizon controlChinese Journal of Aeronautics, 2013
- Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithmsSoft Computing, 2012
- Optimal maneuver-based motion planning over terrain and threats using a dynamic hybrid PSO algorithmAerospace Science and Technology, 2012
- Autonomous mobile robot dynamic motion planning using hybrid fuzzy potential fieldSoft Computing, 2011
- A feedback based CRI approach to fuzzy reasoningApplied Soft Computing, 2011
- Study on UAV Path Planning Approach Based on Fuzzy Virtual ForceChinese Journal of Aeronautics, 2010
- Unmanned Aerial Vehicles Cooperative Tracking of Moving Ground Target in Urban EnvironmentsJournal of Guidance, Control, and Dynamics, 2008
- Trajectory Planning for Autonomous Aerospace Vehicles amid Known Obstacles and ConflictsJournal of Guidance, Control, and Dynamics, 2004
- Sensor-Based Exploration: The Hierarchical Generalized Voronoi GraphThe International Journal of Robotics Research, 2000