Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this work we aim to design an autonomous system in charge of planning and executing a search for a person in water (PIW), victim of MOB. The proposed solution consists of an autonomous UAV that initiates a SAR mission when it receives a MOB signal. The UAV is located in an autonomous docking mechanism onboard the ship. The probabilistic leeway model is implemented to find the location of the PIW and a Deep Learning object detection algorithm (Faster R-CNN) is employed to locate the PIW. To the best of our knowledge, this is the first time that a search system on-board a vessel —capable of live planning and execution— is proposed. Our results indicate that employing our solution would increase the success probability of finding a PIW and decrease the total search time.
|Title of host publication||Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics|
|Publication status||Published - 2020|
|Event||IEEE International Symposium on Safety, Security, and Rescue Robotics - Virtual event, Abu Dhabi, United Arab Emirates|
Duration: 4 Nov 2020 → 6 Nov 2020
|Conference||IEEE International Symposium on Safety, Security, and Rescue Robotics|
|Country||United Arab Emirates|
|Period||04/11/2020 → 06/11/2020|