Deep Learning and Object Detection in 3D

The advent of deep learning for object detection has led to a wave of new ways for autonomous object labeling techniques for various applications such as autonomous driving and maneuvering, pedestrian/vehicle detection and target identification. Though most previous object detection techniques used RGB-D and 2D detection techniques, the recent increase in LiDar capabilities and point cloud generation has led to an interest in 3D object detection. This research takes a look at current 3D object detection and deep learning networks and conducts a performance comparison with their 2D counterparts.https://ecommons.udayton.edu/stander_posters/2526/thumbnail.jp