自动驾驶 - arXivDaily 专题

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

2207.04908 2022-11-04 cs.CV 83%

Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

Aldi Piroli, Vinzenz Dallabetta, Marc Walessa, Daniel Meissner, Johannes Kopp, Klaus Dietmayer

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

Comments Accepted for ITSC2022

Journal ref 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

2210.17252 2022-11-01 cs.CV 83%

Multi-Camera Calibration Free BEV Representation for 3D Object Detection

Hongxiang Jiang, Wenming Meng, Hongmei Zhu, Qian Zhang, Jihao Yin

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

Comments 15 pages, 7 figures

2210.08745 2022-10-18 cs.CV 83%

Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement

Dong-Hee Paek, Kevin Tirta Wijaya, Seung-Hyun Kong

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

Comments Accepted at 2022 IEEE Conference on Intelligent Transportation Systems (ITSC)

2210.04735 2022-10-11 cs.CV 83%

Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations

Shokhrukh Miraliev, Shakhboz Abdigapporov, Jumabek Alikhanov, Vijay Kakani, Hakil Kim

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

Comments arXiv admin note: text overlap with arXiv:1908.08926 by other authors

Journal ref Proceedings of The 8th International Conference on Next Generation Computing 2022 (ISSN number 2672-1562)

2210.03331 2022-10-10 cs.CV 83%

Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling

Daeun Lee, Jongwon Park, Jinkyu Kim

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

Comments 10 pages

2209.14435 2022-09-30 cs.CV cs.AI cs.LG cs.RO eess.IV 83%

Out-of-Distribution Detection for LiDAR-based 3D Object Detection

Chengjie Huang, Van Duong Nguyen, Vahdat Abdelzad, Christopher Gus Mannes, Luke Rowe, Benjamin Therien, Rick Salay, Krzysztof Czarnecki

专题命中感知：LiDAR(title,abstract)；分类 cs.RO、cs.CV、eess.IV

Comments Accepted at ITSC 2022

2209.10733 2022-09-23 cs.CV 83%

FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

Xinli Xu, Shaocong Dong, Lihe Ding, Jie Wang, Tingfa Xu, Jianan Li

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

Comments 7 pages, 3 figures

2209.02540 2022-09-13 cs.CV 83%

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion

Li Wang, Xinyu Zhang, Wenyuan Qin, Xiaoyu Li, Lei Yang, Zhiwei Li, Lei Zhu, Hong Wang, Jun Li, Huaping Liu

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

Comments Based on this work, we achieved 1st place on the nuScenes tracking leaderboard

2208.11434 2022-08-25 cs.CV 83%

YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Cheng Han, Qichao Zhao, Shuyi Zhang, Yinzi Chen, Zhenlin Zhang, Jinwei Yuan

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

2202.04781 2022-07-05 cs.CV 83%

Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios

Jung Im Choi, Qing Tian

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

Comments Accepted by 2022 IEEE Intelligent Vehicles Symposium (IV 2022)

2204.09914 2022-06-07 cs.CV 83%

CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation

Xiaoyan Li, Gang Zhang, Hongyu Pan, Zhenhua Wang

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

Comments Accepted in the 2022 IEEE International Conference on Robotics and Automation (ICRA 2022)

2203.15118 2022-06-07 cs.CV cs.LG 83%

LiDAR Snowfall Simulation for Robust 3D Object Detection

Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool

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

Comments Oral at CVPR 2022

2205.14951 2022-05-31 cs.CV 83%

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection

Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang

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

Comments Technical report. The first three authors contribute equally

2205.09743 2022-05-20 cs.CV 83%

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Yunpeng Zhang, Zheng Zhu, Wenzhao Zheng, Junjie Huang, Guan Huang, Jie Zhou, Jiwen Lu

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

Comments Code: https://github.com/zhangyp15/BEVerse

2205.01515 2022-05-04 cs.CV 83%

Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring

Nikolas Ebert, Patrick Mangat, Oliver Wasenmüller

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

Comments This paper has been accepted at IEEE Intelligent Vehicles Symposium (IV), 2022 (ORAL)

2201.04501 2022-04-26 cs.RO 83%

Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation

Xieyuanli Chen, Benedikt Mersch, Lucas Nunes, Rodrigo Marcuzzi, Ignacio Vizzo, Jens Behley, Cyrill Stachniss

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

Comments under reviewing

2204.10024 2022-04-22 cs.CV cs.LG 83%

Understanding the Domain Gap in LiDAR Object Detection Networks

Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Glaeser

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

Comments 14. Uni-DAS e.V. Workshop Fahrerassistenz und automatisiertes Fahren

2204.01184 2022-04-05 cs.CV 83%

Exploiting Temporal Relations on Radar Perception for Autonomous Driving

Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu

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

Comments To appear in CVPR 2022

2203.15006 2022-03-30 cs.CV 83%

TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving

Danfeng Wang, Xin Ma, Xiaodong Yang

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

2203.11496 2022-03-23 cs.CV 83%

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai

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

Comments Accepted to CVPR2022; Code at \url{https://github.com/XuyangBai/TransFusion}; Based on this work, we achieve the 1st place in the leaderboard of nuScenes tracking

2203.05662 2022-03-23 cs.CV 83%

Point Density-Aware Voxels for LiDAR 3D Object Detection

Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander

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

Comments Accepted in CVPR 2022

2203.08195 2022-03-17 cs.CV 83%

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

Yingwei Li, Adams Wei Yu, Tianjian Meng, Ben Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan Yuille, Mingxing Tan

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

Comments CVPR 2022. 1st rank 3D detection method on Waymo Challenge Leaderboard: https://waymo.com/open/challenges/entry/?timestamp=1647356360224524&challenge=DETECTION_3D&emailId=5451f123-a0ea

2203.07186 2022-03-15 cs.CV 83%

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu

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

Comments Extension of arXiv:2011.11964; Source code at https://github.com/hongfz16/DS-Net

2202.11868 2022-03-08 cs.CV 83%

CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud

Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu

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

Comments 27 pages

2008.05938 2022-03-07 cs.CV cs.LG cs.SE 83%

RGB cameras failures and their effects in autonomous driving applications

Francesco Secci, Andrea Ceccarelli

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

Comments submitted

2109.11615 2022-02-16 cs.CV 83%

Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

Yunshuang Yuan, Hao Cheng, Monika Sester

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

2202.03785 2022-02-09 cs.RO 83%

Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving

Pragyan Dahal, Simone Mentasti, Stefano Arrigoni, Francesco Braghin, Matteo Matteucci, Federico Cheli

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

2104.03657 2022-01-14 cs.RO 83%

Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data

Patrick Pfreundschuh, Hubertus Franciscus Cornelis Hendrikx, Victor Reijgwart, Renaud Dubé, Roland Siegwart, Andrei Cramariuc

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

Comments 6 pages, 11 figures, Accepted to the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021)

Journal ref IEEE International Conference on Robotics and Automation (ICRA), 2021, pp. 11641-11647

2112.00050 2021-12-02 cs.CV 83%

Pattern-Aware Data Augmentation for LiDAR 3D Object Detection

Jordan S. K. Hu, Steven L. Waslander

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

Comments Published paper in the IEEE Intelligent Transportation Systems Conference - ITSC 2021

Journal ref 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 2703-2710

1. 感知 6065 篇

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

Detection of Condensed Vehicle Gas Exhaust in LiDAR Point Clouds

Multi-Camera Calibration Free BEV Representation for 3D Object Detection

Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement

Edge Device Deployment of Multi-Tasking Network for Self-Driving Operations

Resolving Class Imbalance for LiDAR-based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling

Out-of-Distribution Detection for LiDAR-based 3D Object Detection

FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

CAMO-MOT: Combined Appearance-Motion Optimization for 3D Multi-Object Tracking with Camera-LiDAR Fusion

YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios

CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation

LiDAR Snowfall Simulation for Robust 3D Object Detection

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection

BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring

Automatic Labeling to Generate Training Data for Online LiDAR-based Moving Object Segmentation

Understanding the Domain Gap in LiDAR Object Detection Networks

Exploiting Temporal Relations on Radar Perception for Autonomous Driving

TL-GAN: Improving Traffic Light Recognition via Data Synthesis for Autonomous Driving

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Point Density-Aware Voxels for LiDAR 3D Object Detection

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud

RGB cameras failures and their effects in autonomous driving applications

Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving

Extended Object Tracking in Curvilinear Road Coordinates for Autonomous Driving

Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data

Pattern-Aware Data Augmentation for LiDAR 3D Object Detection