Table of Contents
Electronics, Volume 7, Issue 6 (June 2018)
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Cover Story (view full-size image) The method uses object detection from 3D LiDAR point clouds fused with RGB camera detection from a [...] Read more. The method uses object detection from 3D LiDAR point clouds fused with RGB camera detection from a convolutional neural network to provide a more robust fused detection. The CNN bounding-box data is processed in order to project it into the LiDAR space. The LiDAR detections centroids and their confidence values are then fused to provide a fused detection result. This method has been implemented in real-time and tested in an industrial setting on an industrial vehicle. View the paper here.