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Radar-Lidar Fusion for Object Detection by Designing Effective
  Convolution Networks

Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks

30 October 2023
Farzeen Munir
Shoaib Azam
Tomasz Piotr Kucner
Ville Kyrki
Moongu Jeon
ArXivPDFHTML

Papers citing "Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks"

23 / 23 papers shown
Title
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth
  Seeds for 3D Object Detection
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection
Yang Jiao
Zequn Jie
Shaoxiang Chen
Wenke Huang
Lin Ma
Yueping Jiang
3DPC
42
74
0
07 Sep 2022
Can CNNs Be More Robust Than Transformers?
Can CNNs Be More Robust Than Transformers?
Zeyu Wang
Yutong Bai
Yuyin Zhou
Cihang Xie
UQCV
OOD
41
46
0
07 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for
  Autonomous Driving
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
Kashyap Chitta
Aditya Prakash
Bernhard Jaeger
Zehao Yu
Katrin Renz
Andreas Geiger
ViT
146
309
0
31 May 2022
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Exploiting Temporal Relations on Radar Perception for Autonomous Driving
Peizhao Li
Puzuo Wang
K. Berntorp
Hongfu Liu
54
43
0
03 Apr 2022
Not All Points Are Equal: Learning Highly Efficient Point-based
  Detectors for 3D LiDAR Point Clouds
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
Yifan Zhang
Qingyong Hu
Guoquan Xu
Yanxin Ma
Jia-Hui Wan
Yulan Guo
3DPC
66
268
0
21 Mar 2022
A ConvNet for the 2020s
A ConvNet for the 2020s
Zhuang Liu
Hanzi Mao
Chaozheng Wu
Christoph Feichtenhofer
Trevor Darrell
Saining Xie
ViT
95
5,102
0
10 Jan 2022
Perception and Sensing for Autonomous Vehicles Under Adverse Weather
  Conditions: A Survey
Perception and Sensing for Autonomous Vehicles Under Adverse Weather Conditions: A Survey
Yuxiao Zhang
Alexander Carballo
Hanting Yang
K. Takeda
66
278
0
16 Dec 2021
Radar Voxel Fusion for 3D Object Detection
Radar Voxel Fusion for 3D Object Detection
Felix Nobis
E. Shafiei
Phillip Karle
Johannes Betz
Markus Lienkamp
40
41
0
26 Jun 2021
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by
  Camera-Radar Fused Object 3D Localization
RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
Yizhou Wang
Zhongyu Jiang
Yudong Li
Lei Li
Guanbin Xing
Hui Liu
61
158
0
09 Feb 2021
Channel Boosting Feature Ensemble for Radar-based Object Detection
Channel Boosting Feature Ensemble for Radar-based Object Detection
Shoaib Azam
Farzeen Munir
M. Jeon
63
7
0
10 Jan 2021
CenterFusion: Center-based Radar and Camera Fusion for 3D Object
  Detection
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
Ramin Nabati
Hairong Qi
3DPC
58
278
0
10 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
458
40,217
0
22 Oct 2020
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
RADIATE: A Radar Dataset for Automotive Perception in Bad Weather
Marcel Sheeny
Emanuele De Pellegrin
S. Mukherjee
Alireza Ahrabian
Sen Wang
Andrew M. Wallace
100
204
0
18 Oct 2020
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
Hongwu Kuang
Xiaodong Liu
Jingwei Zhang
Zicheng Fang
50
12
0
08 Feb 2020
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford
  RobotCar Dataset
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset
Dan Barnes
Matthew Gadd
P. Murcutt
Paul Newman
Ingmar Posner
53
375
0
03 Sep 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
78
1,000
0
21 Feb 2019
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language
  Understanding
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Tao Shen
Dinesh Manocha
Guodong Long
Jing Jiang
Shirui Pan
Chengqi Zhang
43
753
0
14 Sep 2017
Multi-View 3D Object Detection Network for Autonomous Driving
Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
3DPC
156
2,762
0
23 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
456
10,281
0
16 Nov 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
225
8,421
0
23 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
423
61,900
0
04 Jun 2015
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
413
27,205
0
01 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
330
43,290
0
01 May 2014
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