Flight Control and Collision Avoidance of UAVs: 2nd Edition

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: 20 August 2026 | Viewed by 2652

Editors


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Guest Editor
Temasek Laboratories, National University of Singapore, Singapore, Singapore
Interests: autonomous UAVs; collision avoidance; multi-UAV coordination
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Temasek Laboratories, National University of Singapore, Singapore, Singapore
Interests: fault diagnosis and fault-tolerant control; adaptive control; collision avoidance and control of multi-UAVs
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue of Drones on “Flight Control and Collision Avoidance of UAVs: 2nd Edition”. 

This Special Issue focuses on flight control and collision avoidance in two scenarios. The first scenario involves small-to-large UAVs operating in airspace way above buildings and into airspace where manned aircraft operate. In such a scenario, UAVs need to avoid each other, tall structures, terrain, and even manned aircraft. The second scenario involves micro and mini UAVs operating among buildings and vegetation. In this setting, UAVs need to avoid static obstacles such as trees, vehicles, buildings, lamp posts and even other UAVs. In both cases, flight control and collision avoidance are critical for safe operations. 

The goal of this Special Issue is to collect papers (original research articles and review papers) that provide insights about the state-of-the-art in flight control and collision avoidance in enabling safe UAV operations in the above two scenarios. 

This Special Issue will welcome manuscripts that address the following themes: 

  • detection of obstacles and other aircraft in challenging conditions. This covers very hard to detect objects like wires, small dynamic objects against cluttered background and poor visibility conditions like smoke, dust, rain, fog, low-to-zero light, and scenes with high dynamic range. It also covers situations where flight speed and rotation rates are high, causing motion blur
  • prediction of other aircraft motion via determining attitude and flight direction of other UAVs
  • multiple aircraft tracking
  • precise maneuvering to avoid collision such as tight sensor–controller integration
  • safety verification
  • safe flight control decision under uncertainty from sensors, other aircraft actions
  • achieving near human flight performance and safety

We look forward to receiving your original research articles and reviews.

Dr. Rodney Swee Huat Teo
Dr. Sunan Huang
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • artificial intelligence
  • autonomous navigation
  • collision avoidance
  • guidance systems
  • computer vision
  • obstacle detection
  • decision making under uncertainty
  • safety verification
  • robust control
  • multi-object tracking and association
  • visual servoing
  • conflict prediction
  • conflict resolution
  • collision checking
  • risk assessment

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Related Special Issue

Published Papers (2 papers)

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46 pages, 3292 KB  
Article
Autonomous Fault-Tolerant Cooperative Tracking and Obstacle Avoidance for UAV Swarm in Complex Maritime Environments
by Zhiyang Zhang, Xiaolong Liang, Aoyu Zheng and Ning Wang
Drones 2026, 10(5), 388; https://doi.org/10.3390/drones10050388 - 19 May 2026
Viewed by 313
Abstract
To address the challenge of stable tracking of moving maritime targets by unmanned aerial vehicle(UAV) swarm in environments with threat zones and platform failure risks, this paper proposes a cooperative tracking and guidance strategy integrating Distributed Model Predictive Control (DMPC) with Sequential Quadratic [...] Read more.
To address the challenge of stable tracking of moving maritime targets by unmanned aerial vehicle(UAV) swarm in environments with threat zones and platform failure risks, this paper proposes a cooperative tracking and guidance strategy integrating Distributed Model Predictive Control (DMPC) with Sequential Quadratic Programming (SQP). A cooperative tracking model is developed incorporating UAV kinematics, environmental threats, stereo-vision positioning, and field-of-view constraints. Two original strategies are introduced within the DMPC framework: an altitude-cooperative target recapture strategy reduces target total loss duration by approximately 7 s compared to fixed-altitude baselines, while a distributed formation reconfiguration strategy restores stable tracking within 10 s after member failure and ensures safe inter-UAV separation. A multi-constraint trajectory tracking controller based on DMPC-SQP achieves real-time co-optimization of threat avoidance, formation maintenance, and tracking accuracy. Simulation results in dense threat environments demonstrate a 93.4% Quadratic Programming feasibility rate, with mean tracking error reduced by 25.4% over fixed-altitude DMPC and 48.7% over methods based on the Linear Quadratic Regulator (LQR), while maintaining robust performance under 300 ms communication delay, sensor noise, and moderate wind disturbance. Full article
(This article belongs to the Special Issue Flight Control and Collision Avoidance of UAVs: 2nd Edition)
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Review

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57 pages, 4655 KB  
Review
A Comprehensive Review of UAV Formation Control from a Mission-Driven Perspective
by Chong Yu, Jiaqi Liu, Peng Xie and Wenjun Xie
Drones 2026, 10(4), 278; https://doi.org/10.3390/drones10040278 - 13 Apr 2026
Viewed by 1682
Abstract
To systematically review the research progress on unmanned aerial vehicle (UAV) formation control, this paper proposes a mission-driven full-lifecycle analysis architecture. The architecture summarizes the core scenarios and key technologies involved in the three main stages: formation assembly, formation maintenance, and formation reconfiguration. [...] Read more.
To systematically review the research progress on unmanned aerial vehicle (UAV) formation control, this paper proposes a mission-driven full-lifecycle analysis architecture. The architecture summarizes the core scenarios and key technologies involved in the three main stages: formation assembly, formation maintenance, and formation reconfiguration. Moreover, a comprehensive evaluation framework is established that covers pre-event, in-event, and post-event phases from the perspectives of resilience, robustness, reliability, and vulnerability. The interrelationships among these four dimensions are explained in terms of time, function, and design. Finally, this paper identifies current research gaps and practical challenges in terms of algorithms, evaluation methodologies, and real-world deployment verification, and outlines future development directions. Full article
(This article belongs to the Special Issue Flight Control and Collision Avoidance of UAVs: 2nd Edition)
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