自动驾驶 - arXivDaily 专题

2109.05197 2021-09-14 cs.RO 70%

Adversarial Imitation Learning via Random Search in Lane Change Decision-Making

Myungjae Shin, Joongheon Kim

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

Comments Note that this framework is accepted to be published in proceedings of IJCNN 2019 and IJCAI 2019

2108.06709 2021-08-17 cs.CV 70%

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov

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

2106.12449 2021-08-11 cs.CV 70%

FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection

Shaoqing Xu, Dingfu Zhou, Jin Fang, Junbo Yin, Zhou Bin, Liangjun Zhang

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

Comments Accepted by ITSC 2021

2101.06594 2021-08-03 cs.CV 70%

PLUMENet: Efficient 3D Object Detection from Stereo Images

Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun

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

Comments IROS 2021

2106.02952 2021-07-30 cs.RO 70%

Brno Urban Dataset: Winter Extention

Adam Ligocki, Ales Jelinek, Ludek Zalud

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

Comments Text needs to be reviewed

2107.09504 2021-07-21 cs.CV 70%

Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos

Olga Zatsarynna, Yazan Abu Farha, Juergen Gall

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

Comments CVPR Precognition Workshop

2107.02493 2021-07-07 cs.CV 70%

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

Xiaomeng Chu, Jiajun Deng, Yao Li, Zhenxun Yuan, Yanyong Zhang, Jianmin Ji, Yu Zhang

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

Comments Accepted by ACM Multimedia 2021

2107.01469 2021-07-06 cs.CV 70%

Scene-aware Learning Network for Radar Object Detection

Zangwei Zheng, Xiangyu Yue, Kurt Keutzer, Alberto Sangiovanni Vincentelli

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

2105.00268 2021-06-15 cs.CV 70%

Lite-FPN for Keypoint-based Monocular 3D Object Detection

Lei Yang, Xinyu Zhang, Li Wang, Minghan Zhu, Jun Li

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

Comments 11 pages, 4 figures

2105.01580 2021-05-05 cs.CV 70%

Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)

Le-Anh Tran, Truong-Dong Do, Dong-Chul Park, My-Ha Le

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

Comments 6 pages, 7 figures, 2 tables

2104.11785 2021-04-27 cs.NI cs.CV 70%

On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks

Valentina Rossi, Paolo Testolina, Marco Giordani, Michele Zorzi

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

Comments This paper has been accepted for presentation at the Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). 6 pages, 6 figures, 1 table

2104.05255 2021-04-13 cs.CV 70%

Improving Online Performance Prediction for Semantic Segmentation

Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt

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

Comments Accepted to CVPR SAIAD Workshop

2103.13001 2021-03-25 cs.CV 70%

X-view: Non-egocentric Multi-View 3D Object Detector

Liang Xie, Guodong Xu, Deng Cai, Xiaofei He

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

Comments 9 pages, 5 figures

2103.05929 2021-03-11 cs.CV 70%

MapFusion: A General Framework for 3D Object Detection with HDMaps

Jin Fang, Dingfu Zhou, Xibin Song, Liangjun Zhang

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

2102.03798 2021-02-18 cs.RO 70%

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

Han Wang, Chen Wang, Lihua Xie

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

Comments Accepted in IEEE Robotics and Automation Letters

2102.03602 2021-02-09 cs.CV 70%

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

Frank Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide

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

2009.00330 2021-01-28 cs.CV 70%

3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation

A. Hernández, S. Woo, H. Corrales, I. Parra, E. Kim, D. F. Llorca, M. A. Sotelo

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

Comments "This work has been accepted for publication at IEEE Intelligent Vehicle Symposium 2020"

2101.01843 2021-01-08 cs.CV 70%

ISETAuto: Detecting vehicles with depth and radiance information

Zhenyi Liu, Joyce Farrell, Brian Wandell

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

2012.08055 2021-01-07 cs.CV 70%

Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation

Feixiang Lu, Zongdai Liu, Hui Miao, Peng Wang, Liangjun Zhang, Ruigang Yang, Dinesh Manocha, Bin Zhou

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

2012.12996 2020-12-25 cs.CV 70%

Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset

Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, Alessandro Giusti

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

Comments This paper is submitted to an Elsevier journal for possible publication. Copyrights may be transferred without notice

2012.10412 2020-12-23 cs.CV 70%

PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection

Yanan Zhang, Di Huang, Yunhong Wang

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

Comments To appear at AAAI 2021

2011.00652 2020-12-09 cs.CV 70%

Multi-View Adaptive Fusion Network for 3D Object Detection

Guojun Wang, Bin Tian, Yachen Zhang, Long Chen, Dongpu Cao, Jian Wu

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

Comments 11 pages,9 figures. We change the CV backbone and the details of network to improve performance. Submitted to IEEE transactions on intelligent transportation systems

2012.03121 2020-12-08 cs.CV cs.CG cs.LG 70%

It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection

Meytal Rapoport-Lavie, Dan Raviv

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

2009.10569 2020-11-10 cs.CV 70%

Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection

Ozan Unal, Luc Van Gool, Dengxin Dai

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

Comments Accepted at IEEE Winter Conference on Applications of Computer Vision 2021 (WACV'21)

2008.10559 2020-10-27 cs.CV 70%

LMSCNet: Lightweight Multiscale 3D Semantic Completion

Luis Roldão, Raoul de Charette, Anne Verroust-Blondet

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

Comments Accepted at 3DV 2020 (Oral). For a demo video, see http://tiny.cc/lmscnet. Code is available at https://github.com/cv-rits/LMSCNet

2009.11050 2020-09-24 cs.CV cs.LG 70%

Robust and efficient post-processing for video object detection

Alberto Sabater, Luis Montesano, Ana C. Murillo

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

Comments Submitted to the International Conference on Intelligent Robots and Systems, IROS 2020

2009.08253 2020-09-18 cs.CV cs.LG 70%

Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection

Sumesh Thakur, Jiju Peethambaran

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

Comments 11 pages; 7 figures

2008.10544 2020-08-25 cs.CV 70%

TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module

Martin Gerdzhev, Ryan Razani, Ehsan Taghavi, Bingbing Liu

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

Comments 10 pages, 4 figures

2008.07725 2020-08-20 cs.CV 70%

SoDA: Multi-Object Tracking with Soft Data Association

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov

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

2008.05402 2020-08-13 cs.CV 70%

DAWN: Vehicle Detection in Adverse Weather Nature Dataset

Mourad A. Kenk, Mahmoud Hassaballah

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

Comments Available at https://data.mendeley.com/datasets/766ygrbt8y/3 ,IEEE Transactions on Intelligent Transportation Systems

1. 感知 6059 篇

Adversarial Imitation Learning via Random Search in Lane Change Decision-Making

SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation

FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection

PLUMENet: Efficient 3D Object Detection from Stereo Images

Brno Urban Dataset: Winter Extention

Multi-Modal Temporal Convolutional Network for Anticipating Actions in Egocentric Videos

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

Scene-aware Learning Network for Radar Object Detection

Lite-FPN for Keypoint-based Monocular 3D Object Detection

Robustness Enhancement of Object Detection in Advanced Driver Assistance Systems (ADAS)

On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks

Improving Online Performance Prediction for Semantic Segmentation

X-view: Non-egocentric Multi-View 3D Object Detector

MapFusion: A General Framework for 3D Object Detection with HDMaps

Intensity-SLAM: Intensity Assisted Localization and Mapping for Large Scale Environment

Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation

ISETAuto: Detecting vehicles with depth and radiance information

Fine-Grained Vehicle Perception via 3D Part-Guided Visual Data Augmentation

Semantic Segmentation on Swiss3DCities: A Benchmark Study on Aerial Photogrammetric 3D Pointcloud Dataset

PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection

Multi-View Adaptive Fusion Network for 3D Object Detection

It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection

Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection

LMSCNet: Lightweight Multiscale 3D Semantic Completion

Robust and efficient post-processing for video object detection

Dynamic Edge Weights in Graph Neural Networks for 3D Object Detection

TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module

SoDA: Multi-Object Tracking with Soft Data Association

DAWN: Vehicle Detection in Adverse Weather Nature Dataset