Unmanned Aerial Vehicle Path Planning: Challenges, Solutions, and Future Directions
A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Communications".
Deadline for manuscript submissions: closed (15 December 2023) | Viewed by 10406
Special Issue Editors
Interests: communication network resource and performance management; IoT; cyber security; UAV; smart city applications
Interests: autonomous systems; communication networks; computing systems; cyber-physical computing systems; cybersecurity
Special Issue Information
Dear Colleagues,
We are pleased to invite you to submit your original and exciting research work to the MDPI Drones Special Issue on “Unmanned Aerial Vehicle Path Planning: Challenges, Solutions, and Future Directions.”
Unmanned aerial vehicles (UAVs), commonly referred to as drones, will continue to change how we conduct business across many sectors. Drones have revolutionized the automation of tasks and their applications have already become widespread across various industries, including transportation, agriculture, civil development and maintenance, defense, mining, entertainment, and many more. In these UAV applications, safe path planning capabilities are essential for their autonomous control systems. Autonomous UAVs must be able to compute feasible, computationally efficient, and collision-free safe paths in real time. Developing cost-effective and robust path planning solutions for UAVs can be challenging due to various technical, communication, infrastructure, and environmental factors. Current UAV path planning research continues to explore and propose novel, cost-effective, and practical solutions by addressing some of these limitations and challenges. This Special Issue aims to shed light on today’s state-of-the-art path planning solutions, critical challenges, research gaps, and future directions toward developing practical commercial UAV applications.
Topics of interest for this Special Issue include, but are not limited to:
- UAV path planning and route optimization
- Energy-efficient algorithms for UAV path planning
- Collaborative path planning and task scheduling for UAV swarm
- UAV path planning in long-distance flights
- Challenges in dynamic obstacle avoidance in UAV flight
- Localization challenges in UAV flight
- UAV path planning in limited wireless environments
- UAV flight in “5G and beyond” environment
- Path planning for small-scale UAVs
- Onboard UAV routing optimization challenges
- Autonomous UAV field trial experience
Dr. Anwar Haque
Dr. Ahmed Refaey Hussein
Prof. Dr. Amr Mohamed
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. Drones is an international peer-reviewed open access monthly 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 2600 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
- unmanned aerial vehicles (UAV)
- autonomous drones
- UAV path planning
- constrained path optimization
- flight path obstacle avoidance
- UAV swarm
- UAV task scheduling
- UAV onboard computing
- GPS navigation
- 5G and beyond
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