An energy efficient IoD static and dynamic collision avoidance approach based on gradient optimization

Author:

Ahmed Gamil,Sheltami TarekORCID,Deriche Mohamed,Yasar Ansar

Funder

Department of Sport and Recreation, Government of Western Australia

King Fahd University of Petroleum and Minerals

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference43 articles.

1. Iod swarms collision avoidance via improved particle swarm optimization;Ahmed;Transp. Res. A,2020

2. Online path generation and navigation for swarms of UAVs;Ashraf;Sci. Program.,2020

3. A practical methodology for generating high-resolution 3D models of open-pit slopes using UAVs: Flight path planning and optimization;Battulwar;Remote Sens.,2020

4. Collision avoidance of high-speed obstacles for mobile robots via maximum-speed aware velocity obstacle method;Xu;IEEE Access,2020

5. EAOA: Energy-aware grid-based 3D-obstacle avoidance in coverage path planning for UAVs;Ghaddar;Future Internet,2020

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