YOLO4D » LINK UTAMA LOGIN & DAFTAR RESMI HARI

yolo4dIn YOLO4D approach, the 3D LiDAR point clouds are aggregated over time as a 4D tensor; 3D space dimensions in addition to the time dimension, which is fed to a one-shot fully convolutionalConclusions. In this work, YOLO4D is proposed for Spatio-temporal Real-time 3D Multi-object detection and classification from LiDAR point clouds, where the inputs are 4D