自动驾驶 - arXivDaily 专题

2307.10705 2023-12-14 cs.CV cs.LG 83%

TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars

Quang Huy Che, Dinh Phuc Nguyen, Minh Quan Pham, Duc Khai Lam

专题命中感知：self-driving(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments Accepted by MAPR 2023

2311.10261 2023-11-20 cs.CV eess.SP 83%

Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving

Yizhou Wang, Jen-Hao Cheng, Jui-Te Huang, Sheng-Yao Kuan, Qiqian Fu, Chiming Ni, Shengyu Hao, Gaoang Wang, Guanbin Xing, Hui Liu, Jenq-Neng Hwang

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

2310.07602 2023-11-10 cs.CV 83%

Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

Xinyu Zhang, Li Wang, Jian Chen, Cheng Fang, Lei Yang, Ziying Song, Guangqi Yang, Yichen Wang, Xiaofei Zhang, Jun Li, Zhiwei Li, Qingshan Yang, Zhenlin Zhang, Shuzhi Sam Ge

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

2310.06008 2023-10-11 cs.CV 83%

CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion

Donghao Qiao, Farhana Zulkernine

专题命中感知：LiDAR(title,abstract)；BEV(abstract)；分类 cs.CV

2306.09304 2023-09-29 cs.CV 83%

Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges

Arvind Srivastav, Soumyajit Mandal

专题命中感知：autonomous driving(title)；LiDAR(abstract)；occupancy(abstract)；分类 cs.CV

2308.16445 2023-09-26 cs.RO 83%

Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections

Zengqi Peng, Xiao Zhou, Yubin Wang, Lei Zheng, Ming Liu, Jun Ma

专题命中感知：self-driving(title,abstract)；autonomous driving(abstract)；分类 cs.RO

Comments 7 pages, 4 figures

Journal ref Proceedings of the IEEE Conference on Intelligent Transportation Systems (2023)

2309.11804 2023-09-22 cs.CV 83%

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen

专题命中感知：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments accepted by PRCV2023, code: https://github.com/XavierGrool/FGFusion

2308.16714 2023-09-01 cs.CV 83%

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

Si Liu, Chen Gao, Yuan Chen, Xingyu Peng, Xianghao Kong, Kun Wang, Runsheng Xu, Wentao Jiang, Hao Xiang, Jiaqi Ma, Miao Wang

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

Comments 19 pages

2212.04245 2023-08-21 cs.CV 83%

Domain generalization of 3D semantic segmentation in autonomous driving

Jules Sanchez, Jean-Emmanuel Deschaud, Francois Goulette

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

2307.11477 2023-07-24 cs.CV 83%

SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection

Jinqing Zhang, Yanan Zhang, Qingjie Liu, Yunhong Wang

专题命中感知：BEV(title,abstract)；autonomous driving(abstract)；分类 cs.CV

2307.09044 2023-07-19 cs.RO 83%

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving

Qipeng Li, Yuan Zhuang, Yiwen Chen, Jianzhu Huai, Miao Li, Tianbing Ma, Yufei Tang, Xinlian Liang

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.RO

2307.08415 2023-07-18 cs.CV 83%

Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning

Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro

专题命中感知：LiDAR(title,abstract)；BEV(abstract)；分类 cs.CV

2301.04275 2023-06-21 cs.CV 83%

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

Ben Ding

专题命中感知：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

2306.09266 2023-06-16 cs.CV 83%

A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception

Walter Zimmer, Christian Creß, Huu Tung Nguyen, Alois C. Knoll

专题命中感知：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments 8 pages, 6 figures, 3 tables

2306.07835 2023-06-16 cs.CV 83%

LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann

专题命中感知：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments 19 pages, 11 figures, 11 tables

2306.04927 2023-06-09 cs.CV 83%

An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection

Ziye Chen, Kate Smith-Miles, Bo Du, Guoqi Qian, Mingming Gong

专题命中感知：BEV(title,abstract)；autonomous driving(abstract)；分类 cs.CV

2306.01738 2023-06-05 cs.CV 83%

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection

Zhangyang Qi, Jiaqi Wang, Xiaoyang Wu, Hengshuang Zhao

专题命中感知：BEV(title,abstract)；autonomous driving(abstract)；分类 cs.CV

2305.15694 2023-05-26 cs.CV 83%

Learning Occupancy for Monocular 3D Object Detection

Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

专题命中感知：occupancy(title,abstract)；LiDAR(abstract)；分类 cs.CV

2304.01519 2023-04-05 cs.CV 83%

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation

Haitao Yang, Zaiwei Zhang, Xiangru Huang, Min Bai, Chen Song, Bo Sun, Li Erran Li, Qixing Huang

专题命中感知：LiDAR(title,abstract)；BEV(abstract)；分类 cs.CV

2303.08600 2023-03-16 cs.CV 83%

MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

Jiale Li, Hang Dai, Hao Han, Yong Ding

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

Comments Accepted to CVPR 2023 (preprint)

2210.06006 2023-03-14 cs.CV 83%

BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline

Ruihao Wang, Jian Qin, Kaiying Li, Yaochen Li, Dong Cao, Jintao Xu

专题命中感知：BEV(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments Accepted by CVPR2023

2302.06650 2023-03-08 cs.CV 83%

Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey

Apoorv Singh, Varun Bankiti

专题命中感知：autonomous driving(title,abstract)；BEV(abstract)；分类 cs.CV

2303.01788 2023-03-06 cs.CV 83%

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving

Xiwen Liang, Minzhe Niu, Jianhua Han, Hang Xu, Chunjing Xu, Xiaodan Liang

专题命中感知：autonomous driving(title,abstract)；self-driving(abstract)；分类 cs.CV

Comments Accepted at CVPR 2023

2209.03102 2023-03-06 cs.CV 83%

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

Yang Jiao, Zequn Jie, Shaoxiang Chen, Jingjing Chen, Lin Ma, Yu-Gang Jiang

专题命中感知：LiDAR(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Comments Accepted by CVPR 2023

2108.11250 2023-03-03 cs.CV 83%

YOLOP: You Only Look Once for Panoptic Driving Perception

Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wang, Xiang Bai, Wenqing Cheng, Wenyu Liu

专题命中感知：driving perception(title,abstract)；autonomous driving(abstract)；分类 cs.CV

Journal ref [J]. Machine Intelligence Research, 2022: 1-13

2302.13577 2023-02-28 cs.CV 83%

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving

Xihao Wang, Jiaming Lei, Hai Lan, Arafat Al-Jawari, Xian Wei

专题命中感知：autonomous driving(title,abstract)；self-driving(abstract)；分类 cs.CV

Comments This work is accepted by ICRA2023

2302.00885 2023-02-03 cs.CV 83%

AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation

Yixuan Xu, Hamidreza Fazlali, Yuan Ren, Bingbing Liu

专题命中感知：LiDAR(title,abstract)；BEV(abstract)；分类 cs.CV

Comments Under review

2212.00442 2022-12-22 cs.CV 83%

MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection

Junho Koh, Junhyung Lee, Youngwoo Lee, Jaekyum Kim, Jun Won Choi

专题命中感知：LiDAR(title,abstract)；BEV(abstract)；分类 cs.CV

Comments Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI'23)

2212.07729 2022-12-16 cs.CV 83%

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving

Andrei Zanfir, Mihai Zanfir, Alexander Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu

专题命中感知：autonomous driving(title,abstract)；LiDAR(abstract)；分类 cs.CV

Comments Published at the 6th Conference on Robot Learning (CoRL 2022), Auckland, New Zealand

2211.09386 2022-11-18 cs.CV 83%

BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection

Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao

专题命中感知：BEV(title,abstract)；LiDAR(abstract)；分类 cs.CV

1. 感知 6049 篇

TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars

Vision meets mmWave Radar: 3D Object Perception Benchmark for Autonomous Driving

Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving

CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion

Radars for Autonomous Driving: A Review of Deep Learning Methods and Challenges

Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception

Domain generalization of 3D semantic segmentation in autonomous driving

SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection

3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving

Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning

LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention

A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception

LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection

OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection

Learning Occupancy for Monocular 3D Object Detection

LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation

MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving

BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline

Surround-View Vision-based 3D Detection for Autonomous Driving: A Survey

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving

MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

YOLOP: You Only Look Once for Panoptic Driving Perception

DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving

AOP-Net: All-in-One Perception Network for Joint LiDAR-based 3D Object Detection and Panoptic Segmentation

MGTANet: Encoding Sequential LiDAR Points Using Long Short-Term Motion-Guided Temporal Attention for 3D Object Detection

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving

BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection