A Survey of Trajectory Planning Techniques for Autonomous Systems

Author:

Mir Imran,Gul Faiza,Mir Suleman,Khan Mansoor Ahmed,Saeed NasirORCID,Abualigah LaithORCID,Abuhaija BelalORCID,Gandomi Amir H.ORCID

Abstract

This work offers an overview of the effective communication techniques for space exploration of ground, aerial, and underwater vehicles. We not only comprehensively summarize the trajectory planning, space exploration, optimization, and other challenges encountered but also present the possible directions for future work. Because a detailed study like this is uncommon in the literature, an attempt has been made to fill the gap for readers interested in path planning. This paper also includes optimization strategies that can be used to implement terrestrial, underwater, and airborne applications. This study addresses numerical, bio-inspired, and hybrid methodologies for each dimension described. Throughout this study, we endeavored to establish a centralized platform in which a wealth of research on autonomous vehicles (on the land and their trajectory optimizations), airborne vehicles, and underwater vehicles, is published.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference196 articles.

1. Spirit of Berlin: An Autonomous Car for the DARPA Urban Challenge Hardware and Software Architecture https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.108.3075&rep=rep1&type=pdf

2. A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions

3. Path Planning Based Navigation Using LIDAR for an Ackerman Unmanned Ground Vehicle;Aguilar;Proceedings of the International Conference on Intelligent Robotics and Applications,2019

4. Evolutionary Algorithm-Based Complete Coverage Path Planning for Tetriamond Tiling Robots

5. Mapping, localization and path planning for image-based navigation using visual features and map;Thoma;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2019

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3