Unmanned Aerial Vehicle Path Planning with Hybrid Motion Algorithm for Obstacle Avoidance

Author:

Pamarthi Venkatasivarambabu,Agrawal Richa

Publisher

Elsevier BV

Reference23 articles.

1. How Japan is tackling the national & global infrastructure crisis & pioneering social impact - [online];Minevich;Forbes,2020

2. BO LI 1 , XIAOGANG QI 1 , BAOGUO YU 2 , AND LIFANG LIU, “Trajectory Planning for UAV Based on Improved ACO Algorithm” ACCESS.2019.2962340, December 27, 2019, date of current version January 6, 2020.

3. RRTX: Asymptotically optimal single-query sampling-based motion planning with quick replanning;Otte;The International Journal of Robotics Research,2016

4. Chomp: Covariant hamiltonian optimization for motion planning;Zucker;International Journal of Robotics Research,2013

5. S. Choudhury, J. D. Gammell, T. D. Barfoot, S. S. Srinivasa, and Scherer, Regionally accelerated batch informed trees (rabit*): A framework to integrate local information into optimal path planning in 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016. doi: 10.1109/ICRA.2016.7487615 pp. 4207–4214.

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