ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.10823
  4. Cited By
3D Object Detection for Autonomous Driving: A Survey

3D Object Detection for Autonomous Driving: A Survey

21 June 2021
Rui Qian
Xin Lai
Xirong Li
    3DPC
ArXivPDFHTML

Papers citing "3D Object Detection for Autonomous Driving: A Survey"

26 / 76 papers shown
Title
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Yurong You
Cheng Perng Phoo
Katie Z Luo
Travis Zhang
Wei-Lun Chao
Bharath Hariharan
Mark E. Campbell
Kilian Q. Weinberger
18
12
0
27 Mar 2023
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken
  Assumptions, and New Attack Strategies
LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies
Takami Sato
Yuki Hayakawa
Ryo Suzuki
Y. Shiiki
Kentaro Yoshioka
Qi Alfred Chen
AAML
20
15
0
19 Mar 2023
Teacher-Student Knowledge Distillation for Radar Perception on Embedded
  Accelerators
Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators
Steven Shaw
Kanishka Tyagi
Shan Zhang
10
3
0
14 Mar 2023
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A
  Comprehensive Review
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Yining Shi
Kun Jiang
Jiusi Li
Zelin Qian
Jun Wen
Mengmeng Yang
Ke Wang
Diange Yang
88
25
0
02 Mar 2023
Introducing Depth into Transformer-based 3D Object Detection
Introducing Depth into Transformer-based 3D Object Detection
Hao Zhang
Hongyang Li
Ailing Zeng
Feng Li
Siyi Liu
Xingyu Liao
Lei Zhang
ViT
3DPC
28
1
0
25 Feb 2023
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the
  Edge
Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge
Jingzong Li
Yik Hong Cai
Libin Liu
Yushun Mao
Chun Jason Xue
Hongchang Xu
15
3
0
18 Feb 2023
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for
  Multi-Camera 3D Object Detection
OA-BEV: Bringing Object Awareness to Bird's-Eye-View Representation for Multi-Camera 3D Object Detection
Xiaomeng Chu
Jiajun Deng
Yuan Zhao
Jianmin Ji
Yu Zhang
Houqiang Li
Yanyong Zhang
10
8
0
13 Jan 2023
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving
  with Long-Range Perception
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
Tamás Matuszka
Iván Barton
Ádám Butykai
Peter Hajas
Dávid Kiss
...
Levente Peto
D. Ribli
Dávid Szeghy
Szabolcs Vajna
Bálint Varga
22
30
0
17 Nov 2022
PointSee: Image Enhances Point Cloud
PointSee: Image Enhances Point Cloud
Lipeng Gu
Xu Yan
Peng Cui
Lina Gong
H. Xie
F. Wang
Jing Qin
Mingqiang Wei
3DPC
27
5
0
03 Nov 2022
Analyzing Deep Learning Representations of Point Clouds for Real-Time
  In-Vehicle LiDAR Perception
Analyzing Deep Learning Representations of Point Clouds for Real-Time In-Vehicle LiDAR Perception
Marc Uecker
Tobias Fleck
Marcel Pflugfelder
J. Marius Zöllner
3DPC
26
9
0
26 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
54
4
0
19 Oct 2022
Common Corruption Robustness of Point Cloud Detectors: Benchmark and
  Enhancement
Common Corruption Robustness of Point Cloud Detectors: Benchmark and Enhancement
Shuangzhi Li
Zhijie Wang
Felix Juefei Xu
Qing-Wu Guo
Xingyu Li
L. Ma
3DPC
29
20
0
12 Oct 2022
Delving into the Devils of Bird's-eye-view Perception: A Review,
  Evaluation and Recipe
Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe
Hongyang Li
Chonghao Sima
Jifeng Dai
Wenhai Wang
Lewei Lu
...
Xiaosong Jia
Siqian Liu
Jianping Shi
Dahua Lin
Yu Qiao
93
138
0
12 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
31
27
0
02 Sep 2022
Label-Guided Auxiliary Training Improves 3D Object Detector
Label-Guided Auxiliary Training Improves 3D Object Detector
Yaomin Huang
Xinmei Liu
Yichen Zhu
Zhiyuan Xu
Chaomin Shen
Zhengping Che
Guixu Zhang
Yaxin Peng
Feifei Feng
Jian Tang
3DPC
22
12
0
24 Jul 2022
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent
  Trend
Deep Learning for Finger Vein Recognition: A Brief Survey of Recent Trend
Renye Zhang
Yi Yin
Wanxia Deng
Chen Li
Jinghua Zhang
19
9
0
05 Jul 2022
3D Object Detection for Autonomous Driving: A Comprehensive Survey
3D Object Detection for Autonomous Driving: A Comprehensive Survey
Jiageng Mao
Shaoshuai Shi
Xiaogang Wang
Hongsheng Li
3DPC
29
205
0
19 Jun 2022
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object
  Detection
LiDAR-MIMO: Efficient Uncertainty Estimation for LiDAR-based 3D Object Detection
Matthew A. Pitropov
Chengjie Huang
Vahdat Abdelzad
Krzysztof Czarnecki
Steven Waslander
3DPC
19
3
0
01 Jun 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
26
1
0
04 Apr 2022
3D Object Detection from Images for Autonomous Driving: A Survey
3D Object Detection from Images for Autonomous Driving: A Survey
Xinzhu Ma
Wanli Ouyang
Andrea Simonelli
Elisa Ricci
3DPC
68
95
0
07 Feb 2022
Categorical Depth Distribution Network for Monocular 3D Object Detection
Categorical Depth Distribution Network for Monocular 3D Object Detection
Cody Reading
Ali Harakeh
Julia Chae
Steven L. Waslander
3DPC
230
484
0
01 Mar 2021
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection
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
660
0
31 Dec 2020
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
Ming Liang
Binh Yang
Shenlong Wang
R. Urtasun
3DPC
208
840
0
20 Dec 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
156
737
0
02 Mar 2020
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
194
1,708
0
06 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
Previous
12