Efficient UAV Path Planning with Multiconstraints in a 3D Large Battlefield Environment

Zhan, Weiwei; Wang, Wei; Chen, Nengcheng

doi:10.1155/2014/597092

Cited by 40 publications

(19 citation statements)

References 23 publications

(36 reference statements)

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“…Further complexity to finding a solution is added by the challenge of collision avoidance with both fixed and flying objects [38]. Collision avoidance can be achieved by predicting potential collisions in offline planning or by reacting to collisions registered by sensors in online planning [39][40][41].…”

Section: Of 24mentioning

confidence: 99%

UAV Mission Planning Resistant to Weather Uncertainty

Thibbotuwawa

Bocewicz

Radzki

et al. 2020

Sensors

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Fleet mission planning for Unmanned Aerial Vehicles (UAVs) is the process of creating flight plans for a specific set of objectives and typically over a time period. Due to the increasing focus on the usage of large UAVs, a key challenge is to conduct mission planning addressing changing weather conditions, collision avoidance, and energy constraints specific to these types of UAVs. This paper presents a declarative approach for solving the complex mission planning resistant to weather uncertainty. The approach has been tested on several examples, analyzing how customer satisfaction is influenced by different values of the mission parameters, such as the fleet size, travel distance, wind direction, and wind speed. Computational experiments show the results that allow assessing alternative strategies of UAV mission planning.

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Section: Of 24mentioning

confidence: 99%

UAV Mission Planning Resistant to Weather Uncertainty

Thibbotuwawa

Bocewicz

Radzki

et al. 2020

Sensors

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“…Only 28% of the surveyed papers (Zheng et al 2003;Cocaud 2006;Allaire et al 2009;Guo et al 2009;Swartzentruber et al 2010;Chen et al 2011;Wan et al 2011;Holub et al 2012;Yan et al 2012;Ozalp and Sahingoz 2013;Roberge et al 2013Roberge et al , 2014Q. Wang et al 2014;Zhan et al 2014;Gardi et al 2015a;Ling and Hao 2015;Wen et al 2015) considered both 3D terrain and obstacle avoidance; these are the ones for which we will further analyze the flyability.…”

Section: D Terrain Collision and No-fly Zone Criteriamentioning

confidence: 99%

Recent advances in unmanned aerial vehicles real-time trajectory planning

Allaire

Labonté

Tarbouchi

et al. 2019

J. Unmanned Veh. Sys.

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The growing interest in unmanned aerial vehicles (UAV) can be attributed to many factors, particularly the potential for them to operate beyond visual line of sight and at increasingly higher levels of autonomy. Trajectory planning defines the extent to which a vehicle is “autonomous”, therefore, to operate at high levels of autonomy, UAV will require real-time embedded trajectory planning that respects a minimum of flyability. This paper presents a review of recent advances in UAV trajectory planning and seeks to clarify the flyability, the real-time, and the embedded aspects, which are not adequately considered by previous survey papers. This work, which specifically focuses on Class II (≥150 and ≤600 kg) and Class III (>600 kg) fixed-wing UAV, analyses 60 papers from the last decade that mention some real-time achievement with respect to UAV trajectory planning. From this analysis, we highlight some challenges and some suggested orientations for future works.

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“…Several approaches have been proposed including hierarchical information routing [9], dynamically reconfigurable networks [10], and a predator-prey method [11]. Wang, et al [12] proposed using a Firefly Algorithm; wolf colony [13], bat / mutation [14], A* algorithm [15] based approaches have also been considered. Data processing is also an important aspect of control decision making.…”

Section: Autonomous Command and Supporting Technologiesmentioning

confidence: 99%

Analysis of mutual assured destruction-like scenario with swarms of non-recallable autonomous robots

Straub

2015

SPIE Proceedings

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This paper considers the implications of the creation of an autonomous robotic fighting force without recall-ability which could serve as a deterrent to a 'total war' magnitude attack. It discusses the technical considerations for this type of robotic system and the limited enhancements required to current technologies (particularly UAVs) needed to create such a system. Particular consideration is paid to how the introduction of this type of technology by one actor could create a need for reciprocal development. Also considered is the prospective utilization of this type of technology by non-state actors and the impact of this on state actors.

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Efficient UAV Path Planning with Multiconstraints in a 3D Large Battlefield Environment

Cited by 40 publications

References 23 publications

UAV Mission Planning Resistant to Weather Uncertainty

UAV Mission Planning Resistant to Weather Uncertainty

Recent advances in unmanned aerial vehicles real-time trajectory planning

Analysis of mutual assured destruction-like scenario with swarms of non-recallable autonomous robots

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