Lidar Camera Imaging for Detection of UAVs

dc.contributor.advisor	Linga Reddy Cenkeramaddi
dc.contributor.author	Perhat Adiljan
dc.date.accessioned	2022-09-21T16:24:43Z
dc.date.available	2022-09-21T16:24:43Z
dc.date.issued	2022
dc.identifier	no.uia:inspera:106884834:7941736
dc.identifier.uri	https://hdl.handle.net/11250/3020379
dc.description	Full text not available
dc.description.abstract	Resent years, deep (CNN) convolutional neural network have made great strides with the development of advent of big data and image processing hardware. The method used in the experiment is YOLOv5. In the object detection area, YOLO and Faster R-CNN, those are the most popular approaches that are anchor based.
dc.description.abstract
dc.language
dc.publisher	University of Agder
dc.title	Lidar Camera Imaging for Detection of UAVs
dc.type	Master thesis

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