Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D
Radar

Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar

10 August 2023

Patrick Palmer

Torsten Bertram

Papers citing "Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar"

12 / 12 papers shown

Title
LEROjD: Lidar Extended Radar-Only Object Detection Patrick Palmer Martin Krüger Stefan Schutte R. Altendorfer Ganesh Adam Torsten Bertram 40 0 0 09 Sep 2024
Multi-Object Tracking based on Imaging Radar 3D Object Detection Patrick Palmer Martin Krüger R. Altendorfer Torsten Bertram 44 0 0 03 Jun 2024
DenserRadar: A 4D millimeter-wave radar point cloud detector based on dense LiDAR point clouds Zeyu Han Junkai Jiang Xiaokang Ding Qingwen Meng Shaobing Xu Lei He Jianqiang Wang 37 2 0 08 May 2024
Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review Shanliang Yao Runwei Guan Zitian Peng Chenhang Xu Yilu Shi ... Hyungjoon Seo Ka Lok Man Jieming Ma Xiaohui Zhu Yutao Yue 52 5 0 08 Dec 2023
Ego-Motion Estimation and Dynamic Motion Separation from 3D Point Clouds for Accumulating Data and Improving 3D Object Detection Patrick Palmer Martin Krueger R. Altendorfer Torsten Bertram 3DPC 18 4 0 29 Aug 2023
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion Weiyi Xiong Jianan Liu Tao Huang Qingyan Han Yu Xia Bing Zhu 41 62 0 03 Jul 2023
SA-Det3D: Self-Attention Based Context-Aware 3D Object Detection Prarthana Bhattacharyya Chengjie Huang Krzysztof Czarnecki 3DPC 24 51 0 07 Jan 2021
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 231 842 0 31 Dec 2020
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather Marcel Sheeny Emanuele De Pellegrin S. Mukherjee Alireza Ahrabian Sen Wang Andrew M. Wallace 64 199 0 18 Oct 2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects Bin Yang Runsheng Guo Mingfeng Liang Sergio Casas R. Urtasun 139 111 0 28 Jul 2020
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,019 0 26 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016