Navigation and Path-Planning for Unmanned Aerial Vehicles, Ground Mobile Robots, and Marine Vehicles
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 10 December 2024 | Viewed by 52
Special Issue Editors
Interests: unmanned aerial and underwater vehicle; ocean robotics; underwater detection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Autonomous systems, such as unmanned aerial vehicles, ground mobile robots, autonomous marine vehicles, etc., are gradually becoming more widely used across a wide range of real-world applications such as accompanying troops on the battlefield, disaster relief, exploration of hazardous remote areas, etc. Autonomous vehicles need intelligent path planning, and safe navigation is their key concern. Reducing computational time in terms of replanning the path is one of the major goals of path planning.
Navigation and path planning for autonomous vehicles are still challenging subjects for researchers due to the fact that path planning not only searches for optimum waypoints to reach the goal but also needs to ensure safe and reliable navigation in a dynamic environment. Autonomous vehicles need to detect the position and movement of the dynamic obstacles and also replan the path simultaneously according to the movement of the obstacles, whilst also avoiding static obstacles. Time and energy-efficient path planning of marine vehicles to navigate in stochastic dynamic marine environments is also crucial in terms of reducing the optimal cost.
The range of this vehicle's mission efficacy has significantly increased as a result of recent technological advancements. However, throughout the journey, they must deal with difficult issues including abrupt changes in the environment, data accumulation, resource allocation, etc. Hence, there is still a growing research interest to address the challenges in the field of navigation and path planning of autonomous systems.
Considering the interest in this theme, we are planning a Special Issue titled “Navigation and Path-Planning for Unmanned Aerial Vehicles, Ground Mobile Robots, and Marine Vehicles”, with the aim of reporting the most recent findings from researchers and professionals in the sector that contribute to addressing the challenges in this domain.
Dr. Zhaoyu Wei
Dr. Sumana Biswas
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- autonomous vehicles
- path planning
- mission planning
- dynamic environment
- obstacle avoidance
