SINGLE-STAGE 3-DIMENSION MULTI-OBJECT DETECTING APPARATUS AND METHOD FOR AUTONOMOUS DRIVING

According to at least one embodiment, the present disclosure provides an apparatus for single-stage three-dimensional, 3D, multi-object detection by using a LiDAR sensor to detect 3D multiple objects, comprising: a data input module configured to receive raw point cloud data from the LiDAR sensor; a BEV image generating module configured to generate bird's eye view, BEV, images from the raw point cloud data; a learning module configured to perform a deep learning algorithm-based learning task to extract a fine-grained feature image from the BEV images; and a localization module configured to perform a regression operation and a localization operation to find 3D candidate boxes and classes corresponding to the 3D candidate boxes for detecting 3D objects from the fine-grained feature image.