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A recurrent CNN for online object detection on raw radar frames

A recurrent CNN for online object detection on raw radar frames

21 December 2022
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
ArXivPDFHTML

Papers citing "A recurrent CNN for online object detection on raw radar frames"

13 / 13 papers shown
Title
AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection
AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection
Loveneet Saini
Mirko Meuter
Hasan Tercan
Tobias Meisen
57
0
0
01 Apr 2025
KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for
  autonomous driving
KAN-RCBEVDepth: A multi-modal fusion algorithm in object detection for autonomous driving
Zhihao Lai
Chuanhao Liu
Shihui Sheng
Zhiqiang Zhang
3DPC
44
0
0
04 Aug 2024
Leveraging Self-Supervised Instance Contrastive Learning for Radar
  Object Detection
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection
Colin Decourt
R. V. Rullen
D. Salle
Thomas Oberlin
SSL
33
0
0
13 Feb 2024
ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions
Qiao Yan
Yihan Wang
30
0
0
20 Aug 2023
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with
  4D Imaging Radar
SMURF: Spatial Multi-Representation Fusion for 3D Object Detection with 4D Imaging Radar
Jianan Liu
Qiuchi Zhao
Weiyi Xiong
Tao Huang
Qinghua Han
Bing Zhu
24
50
0
20 Jul 2023
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object
  Detection Systems
RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
Yanlong Yang
Jianan Liu
Tao Huang
Qinghua Han
Gang Ma
Bing Zhu
32
25
0
11 Nov 2022
Deep Instance Segmentation with Automotive Radar Detection Points
Deep Instance Segmentation with Automotive Radar Detection Points
Jianan Liu
Weiyi Xiong
Liping Bai
Yu Xia
Tao Huang
Wanli Ouyang
Bing Zhu
48
53
0
05 Oct 2021
Improving Uncertainty of Deep Learning-based Object Classification on
  Radar Spectra using Label Smoothing
Improving Uncertainty of Deep Learning-based Object Classification on Radar Spectra using Label Smoothing
Kanil Patel
William H. Beluch
K. Rambach
Michael Pfeiffer
B. Yang
UQCV
27
9
0
27 Sep 2021
Panoptic Segmentation of Satellite Image Time Series with Convolutional
  Temporal Attention Networks
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot
Loic Landrieu
AI4TS
71
150
0
16 Jul 2021
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic
  Road Users
RADDet: Range-Azimuth-Doppler based Radar Object Detection for Dynamic Road Users
Ao Zhang
F. Nowruzi
R. Laganière
31
88
0
02 May 2021
DeepReflecs: Deep Learning for Automotive Object Classification with
  Radar Reflections
DeepReflecs: Deep Learning for Automotive Object Classification with Radar Reflections
Michael Ulrich
Claudius Gläser
Fabian Timm
36
27
0
19 Oct 2020
Memory Enhanced Global-Local Aggregation for Video Object Detection
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen
Yue Cao
Han Hu
Liwei Wang
112
261
0
26 Mar 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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