Search and rescue operation using UAVs: A case study

作者：

Highlights：

• Portable, robust and cost-effective human detection system for UAV applications.

• Integration of a novel trade-off algorithm between speed, accuracy and portability.

• Deployment of the best-of-its-kind machine learning platforms combination.

• Evaluation of the algorithm over a comprehensive dataset from real scenarios.

• Testing of the UAV system in real Search and Rescue operations.

摘要

•Portable, robust and cost-effective human detection system for UAV applications.•Integration of a novel trade-off algorithm between speed, accuracy and portability.•Deployment of the best-of-its-kind machine learning platforms combination.•Evaluation of the algorithm over a comprehensive dataset from real scenarios.•Testing of the UAV system in real Search and Rescue operations.

论文关键词：Unmanned aerial vehicle,Search and rescue,Machine learning,Object detection,Human detection,YOLOv3

论文评审过程：Received 10 December 2020, Revised 11 February 2021, Accepted 20 March 2021, Available online 5 April 2021, Version of Record 23 April 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114937