Temp-Frustum Net: 3D Object Detection with Temporal Fusion

• Published in: 2021 IEEE Intelligent Vehicles Symposium (IV) pp. 1095 - 1101
• Main Authors: Ercelik, Emec, Yurtsever, Ekim, Knoll, Alois
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.07.2021
• Subjects: Fuses; Laser radar; Object detection; Pipelines; Recurrent neural networks; Three-dimensional displays; Training

3D object detection is a core component of automated driving systems. State-of-the-art methods fuse RGB imagery and LiDAR point cloud data frame-by-frame for 3D bounding box regression. However, frame-by-frame 3D object detection suffers from noise, field-of-view obstruction, and sparsity. We propos...