Real-time characteristics of marine object detection under low light conditions: Marine object detection using YOLO with near infrared camera

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dc.contributor.authorEmanuelsson, Emil
dc.contributor.authorWang, Lin
dc.contributor.departmentChalmers tekniska högskola / Institutionen för mekanik och maritima vetenskapersv
dc.contributor.examinerBenderius, Ola
dc.contributor.supervisorBenderius, Ola
dc.date.accessioned2020-12-28T13:38:28Z
dc.date.available2020-12-28T13:38:28Z
dc.date.issued2020sv
dc.date.submitted2020
dc.description.abstractThis work discusses how a near infrared camera can be used to detect objects in a marine environment. The goal is to identify marine objects in real-time under low light conditions using object detection algorithm Yolo v3. Some different image processing methods were analyzed, such as saliency, edge detection and convolutional neural networks (CNN). Then the implementation of a scalable collision avoidance was presented. The system uses Intel Realsense camera, OpenDLV software framework, and the Linux operating system. For this work, an OpenDLV interface was implemented for the camera, and OpenDLV perception microservice was used to run its built-in Darknet-based Yolo v3 implementation. Then the real-time characteristics of the system and the performance were evaluated. It was proven that the system does not have real-time characteristics because of the underlying OS and sensor communication protocol. The system achieved 0.71 mean average precision (mAP) on boats with the test images. It was concluded that the system still need more complete training and testing. Finally, a suggestion on how to implement a similar system with real-time capabilities was given. This includes changing camera, OS and some part of the software that was used.sv
dc.identifier.coursecodeMMSX30sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/302142
dc.language.isoengsv
dc.relation.ispartofseries2020:81sv
dc.setspec.uppsokTechnology
dc.subjectobject detectionsv
dc.subjectCNNsv
dc.subjectneural networksv
dc.subjectNIRsv
dc.subjectcamerasv
dc.subjectRTSsv
dc.subjectYolo v3sv
dc.titleReal-time characteristics of marine object detection under low light conditions: Marine object detection using YOLO with near infrared camerasv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
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