Optimized path planning of drones for efficient logistics using turning point with evolutionary techniques-Reference-Cited by-同舟云学术

Optimized path planning of drones for efficient logistics using turning point with evolutionary techniques

Published:2022-08-08 Issue:06 Volume:31 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Alqarni Mohammed A.¹,Saleem Sajid²,Alkatheiri Mohammed Saeed³,Chauhdary Sajjad Hussain⁴

Affiliation:

1. University of Jeddah, College of Computer Science and Engineering, Department of Software Engineering, Jeddah, Saudi Arabia

2. University of Jeddah, College of Computer Science and Engineering, Department of Computer and Network Engineering, Jeddah, Saudi Arabia

3. University of Jeddah, College of Computer Science and Engineering, Department of Cybersecurity, Jeddah, Saudi Arabia

4. University of Jeddah, College of Computer Science and Engineering, Department of Computer Science and Artificial Intelligence, Jeddah, Saudi Arabia

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Reference56 articles.

1. Intention-aware online POMDP planning for autonomous driving in a crowd

2. Vision-based autonomous navigation in indoor environments

3. An Overview of Autonomous Mobile Robot Path Planning Algorithms

4. Ant colony system for robot path planning in global static environment;Sariff

5. Analysis of FPA and BA meta‐heuristic controllers for optimal path planning of mobile robot in cluttered environment

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