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Collision detection for USVs: An analysis on CV algorithms

Publication Type : Book Chapter

Publisher : CRC Press

Source : Smart Computing, 1st Edition, 2021, CRC Press, Pages 12, ISBN 9781003167488

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Campus : Amritapuri

School : School of Computing, School of Engineering

Center : Computer Vision and Robotics, Research & Projects

Department : Computer Science

Verified : Yes

Year : 2021

Abstract : Floods are a lethal force of nature that not only cause heavy economical and infrastructural damage but most importantly take away invaluable lives. These floods can last days to weeks during which people in the affected regions get cut off from essential supplies. Rescue teams are deployed to save affected people, and in the process it is highly probable that the team members may lose their lives. We need to have a mode of transport for supplies to reach the flood victims that does not involve sending in human beings to the affected areas. Unmanned surface vehicles (USVs) are used in a wide range of areas where there is a risk to mankind. Since World War II, advancement has been seen in control systems and navigation for USVs, but we are still lacking in terms of the object detection prowess of these vehicles. A USV, armed with object detection capability interfaced with sensor data, has the potential to be the solution to the rescue ops problem. The challenge in this approach, however, would be to deploy computer vision algorithms on resource-constrained devices which would require a lot of optimization for accurate performance. Hence, we propose an analysis to identify the best algorithms for collision detection and design a cost-effective prototyping method for USVs.

Cite this Research Publication : Siddharth Kumar, Ram Manoj Potla, Gayathri Ravipati, G. Gopakumar, "Collision Detection for USVs: An Analysis on CV Algorithms", in Smart Computing, 1st Edition, 2021, CRC Press, Pages 12, ISBN 9781003167488

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