target search detect through decentralized co operative surveillance of multiple uavs in uncertain environments8372

Over the past few decades, the use of Unmanned Aerial Vehicles (UAV) has increased dramatically in numerous areas ranging from agricultural and mineral monitoring to search and rescue, surveillance, and disaster management missions. In the past, the area searching methods involved a preplanning traj

Project Title

Project Area of Specialization

Robotics

Project Summary

Over the past few decades, the use of Unmanned Aerial Vehicles (UAV) has increased dramatically in numerous areas ranging from agricultural and mineral monitoring to search and rescue, surveillance, and disaster management missions. In the past, the area searching methods involved a preplanning trajectory using a single UAV. However, more recently, considering the increasing complexity of the potential environments (area of search) and time constraints, multi-UAV based cooperative search methods are proposed. The area search methods can be broadly classified into two categories: 1) formation flight based, and) free flight-based region search methods. The former type requires UAVs to arrange themselves in a predefined formation such as parallel formation and then search the area. However, formation-based search methods are not appropriate for dynamically changing environments, where there is very little information about the environment. On the other hand, the free flight based cooperative search methods allow UAVs to adaptively cooperate considering the dynamics of the regional environment. These methods prove valuable and are widely used to increase the overall mission’s time and coverage efficiency and reduce the operator’s burden.

The given scenario is very challenging as all we have are GPS coordinates of the search area and a vague idea of our target and location. The problem can be divided into a multi-objective optimization problem where individual objectives can include the following costs: 1) environment cost (certainty of the area, 2) time cost, 3) cooperation cost, and 4) target cost.

Project Objectives

1. Development of Simulation Platform to analyze Co-operative search methods.
2. Design and develop a multi-UAV Cooperative search method for effective path generation.
3. Hardware Implementation using Multiple UAVs.

Project Implementation Method

1. Comprehensive Literature Review of path planning techniques for multiple UAVs
2. Simulation Platform Development using MATLAB.
3. Algorithm Implementation that uses optimization technique for waypoints and path generation
4. Implementing developed algorithm on hardware.

Benefits of the Project

1. It can be used in search and rescue missions to find the victims so that they can be evacuated.
2. Law enforcement agencies can use this for the aerial surveillance of a particular area.
3. Wildlife and particularly the endangered species are constantly under threat from poachers. To ensure their safety, the UAVs equipped with a decentralized cooperative search algorithm can be engaged to search the area for a potential intruder.
4. Ice breaker ships use expensive helicopters for surveillance and crucial route planning. Instead, an economical team of multi-UAVs can be used for the task.

Technical Details of Final Deliverable

A multi-UAV cooperative search algorithm will be designed, developed, and implemented on hardware consisting of multiple UAVs, algorithm will be based on multi-objective optimization methods.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Others

Other Industries

Others

Core Technology

Robotics

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

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