Towards A Computational Framework for Autonomous Decision-Making in Unmanned Aerial Vehicles

2017 ◽  
Author(s):  
Shankar Sankararaman
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Computational Framework ◽  
Aerial Vehicles ◽  
Autonomous Decision

scholarly journals Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Selection Process ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Critical Factor ◽  
Unmanned Systems ◽  
Multicriteria Decision ◽  
Aerial Vehicles ◽  
Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

scholarly journals A decision-making framework for safe operations of unmanned aerial vehicles in urban scenarios

2020 ◽  
Vol 12 (1) ◽  
pp. 11
Author(s):  
Marcos Quiñones ◽  
Timothy Darrah ◽  
Gautam Biswas ◽  
Chetan Kulkarni
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Environmental Conditions ◽  
System Performance ◽  
Trajectory Optimization ◽  
Contingency Management ◽  
The State ◽  
Urban Mobility ◽  
Aerial Vehicles ◽  
Number Of Factors

This paper presents a decision-making scheme at the level of individual unmanned aerial vehicles (UAVs) with the goal of maintaining safe operations for urban mobility. The decision-making approach for a single UAV will consider the risks associated with the current trajectory given the existing environmental conditions and the state of the vehicle. The proposed scheme combines the analysis of system performance, environmental conditions, and mission level parameters for contingency management, i.e., make a determination on: (1) to abort mission and land safely; (2) re-plan current mission in full or abbreviated form; and (3) change mission.  A path planning and trajectory optimization algorithm with the goal of minimizing the overall risk of mission failure by considering a number of factors such as the uncertainties in the environment and operating state of the vehicle is proposed. We will consider the mission failure as the loss of control of the vehicle resulting in a collision with other objects or a crash into the ground. An offline part of the framework generates an initial mission plan by considering the state of the vehicle, the environmental, conditions, and the static features of a map of the environment. Once the vehicle takes off, the risk of mission’ failure associated with the remaining trajectory is re-computed in an online framework to assess whether re-planning is required or not. A key challenge that we consider in this paper is to study the effects of multiple interacting subsystems of the UAV on system performance, especially under degraded conditions.

scholarly journals Cooperative Attack-Defense Decision-Making of Multi-UAV Using Satisficing Decision-Enhanced Wolf Pack Search Algorithm

2021 ◽  
Author(s):  
Tongle Zhou ◽  
Mou Chen ◽  
Yuhui Wang ◽  
Ronggang Zhu ◽  
Chenguang Yang
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Decision Problem ◽  
Search Algorithm ◽  
Optimal Solution ◽  
Target Information ◽  
Aerial Vehicles ◽  
Air Combat ◽  
Simulation Results ◽  
Multi Uav

Abstract Unmanned Aerial Vehicles (UAVs) have shown their superiority for applications in complicated military missions. A cooperative attack-defense decision-making method based on satisficing decision-enhanced wolf pack search (SDEWPS) algorithm is developed for multi-UAV air combat in this paper. Firstly, the multi-UAV air combat mathematical model is provided and the attack-defense decision-making constraints are defined. Besides the traditional air combat situation, the capability of UAVs and target information including target type and target intention are all considered in this paper to establish the air combat superiority function. Then, the wolf pack search (WPS) algorithm is used to solve the attack decision problem. In order to improve efficiency, the satisficing decision theory is employed to enhance the WPS to obtain the satisficing solution rather than optimal solution. The simulation results show that the developed method can realize the cooperative attack decision-making.

Design and Fabrication of Mount Plate for Integration of Multiple Cameras in UAV Using 3D Printing and Traditional Manufacturing Method

2020 ◽  
Author(s):  
Madelyn Davis ◽  
John Ball ◽  
Yucheng Liu ◽  
Tonya Stone
Keyword(s):  
Decision Making ◽  
3D Printing ◽  
Unmanned Aerial Vehicles ◽  
The Other ◽  
Manufacturing Cost ◽  
Multiple Cameras ◽  
Manufacturing Method ◽  
Aerial Vehicles ◽  
Subtractive Manufacturing ◽  
Traditional Manufacturing

Abstract In this project, custom mount plates were designed and fabricated to secure cameras to unmanned aerial vehicles (UAVs) for data collection. An engineering design approach was followed to design the mount plates. Two types of mount plate were fabricated using different methods. One mount plate was cut from G10 fiberglass sheets following a traditional subtractive manufacturing process while the other one was made from 3D printing with polylactic acid (PLA). The two manufacture methods were compared in terms of manufacturing cost, time, and simplicity. Performance of these two plates including compatibility, weight, and strength were also discussed. Results of this project will facilitate researcher’s decision making for choosing the appropriate approach to make such apparatus.

scholarly journals Online decision making and path planning framework for safe operation of unmanned aerial vehicles in urban scenarios

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
Marcos Qui˜nones-Grueiro ◽  
Gautam Biswas ◽  
Ibrahim Ahmed ◽  
Timothy Darrah ◽  
Chetan Kulkarni
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Optimization Method ◽  
Flight Simulation ◽  
State Of Health ◽  
Planning Strategy ◽  
Aerial Vehicles ◽  
Planning Framework ◽  
Probability Of Collision ◽  
Online Decision Making

As the potential for deploying low-flying unmanned aerial vehicles (UAVs) in urban spaces increases, ensuring their safe operations is becoming a major concern. Given the uncertainties in their operational environments caused by wind gusts, degraded state of health, and probability of collision with static and dynamic objects, it becomes imperative to develop online decision-making schemes to ensure safe flights. In this paper, we propose an online decision-making framework that takes into account the state of health of the UAV, the environmental conditions, and the obstacle map to assess the probability of mission failure and re-plan accordingly. The online re-planning strategy considers two situations: (1) updating the current trajectory to reduce the probability of collision; and (2) defining a new trajectory to find a new safe landing spot, if continued flight would result in risk values above a pre-specified threshold. The re-planning routine uses the differential evolution optimization method and takes into account the dynamics of the UAV and its components as well as the environmental wind conditions. The new trajectory generation routine combines probabilistic road-maps with B-spline smoothing to ensure a dynamically feasible trajectory. We demonstrate the effectiveness of our approach by running UAV flight simulation experiments in urban scenarios.

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