Exploiting Sparsity in Automotive Radar Object Detection Networks

15 August 2023

Papers citing "Exploiting Sparsity in Automotive Radar Object Detection Networks"

6 / 6 papers shown

Title
BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation Hiep Truong Cong Ajay Kumar Sigatapu Arindam Das Yashwanth Sharma Venkatesh Satagopan Ganesh Sistu Ciarán Eising 36 0 0 05 Mar 2025
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving Karim Armanious Maurice Quach Michael Ulrich Timo Winterling Johannes Friesen ... Bastian Bischoff J. Freess Karsten Haug Kathrin Klee Holger Caesar 27 4 0 24 Jun 2024
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection Jiajun Deng Shaoshuai Shi Pei-Cian Li Wen-gang Zhou Yanyong Zhang Houqiang Li 3DPC 216 660 0 31 Dec 2020
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections Michael Ulrich Claudius Gläser Fabian Timm 24 27 0 19 Oct 2020
Feature Pyramid Networks for Object Detection Tsung-Yi Lin Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 166 21,643 0 09 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016