自动驾驶 - arXivDaily 专题

2008.04738 2020-08-12 cs.CV 70%

Attention-based 3D Object Reconstruction from a Single Image

Andrey Salvi, Nathan Gavenski, Eduardo Pooch, Felipe Tasoniero, Rodrigo Barros

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

Comments 8 pages, 4 figures, 3 tables

Journal ref International Joint Conference on Neural Networks (IJCNN) - 2020

2008.00962 2020-08-04 cs.CV 70%

Deep Traffic Sign Detection and Recognition Without Target Domain Real Images

Lucas Tabelini, Rodrigo Berriel, Thiago M. Paixão, Alberto F. De Souza, Claudine Badue, Nicu Sebe, Thiago Oliveira-Santos

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

Comments arXiv admin note: text overlap with arXiv:1907.09679

2007.14366 2020-07-29 cs.CV 70%

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun

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

Comments ECCV 2020

2004.10924 2020-07-15 cs.CV 70%

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Lucas Tabelini, Rodrigo Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos

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

Comments Accepted to ICPR 2020

2007.02787 2020-07-07 cs.SE cs.AI cs.LG 70%

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

Vincenzo Riccio, Paolo Tonella

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

Comments To be published in the Proceedings of the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020); 13 pages, 6 figures

2007.01483 2020-07-06 cs.RO 70%

A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs

Jiarong Lin, Xiyuan Liu, Fu Zhang

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

Comments Accepted by IROS2020

2005.08139 2020-05-19 cs.CV 70%

Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

Yan Wang, Xiangyu Chen, Yurong You, Li Erran, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

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

Comments Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020)

2005.06791 2020-05-15 eess.SP cs.RO 70%

High Precision Indoor Navigation for Autonomous Vehicles

Eduardo Sánchez Morales, Michael Botsch, Bertold Huber, Andrés García Higuera

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

1903.10168 2020-05-07 cs.CV 70%

Efficient Bird Eye View Proposals for 3D Siamese Tracking

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

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

2005.02132 2020-05-06 cs.CV 70%

3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

Xuanyu Yin, Yoko Sasaki, Weimin Wang, Kentaro Shimizu

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

Comments arXiv admin note: substantial text overlap with arXiv:2004.11465

2001.10609 2020-04-22 cs.CV 70%

A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators

Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim

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

Comments Accepted to the journal of Image and Vision Computing (IVC). arXiv admin note: text overlap with arXiv:1903.04229

2002.00339 2020-04-21 cs.RO cs.SY eess.SY 70%

Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures

Niels Joubert, Tyler GR Reid, Fergus Noble

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

Comments 2020 IEEE Intelligent Vehicles Symposium. IEEE, 2020

2004.01170 2020-04-08 cs.CV 70%

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod, Thomas Funkhouser, Caroline Pantofaru, David Ross, Larry S. Davis, Alireza Fathi

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

Comments To appear in CVPR 2020

2003.05505 2020-03-13 cs.CV 70%

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation

Chengyao Li, Jason Ku, Steven L. Waslander

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

Comments 8 pages, 6 figures

2003.00529 2020-03-03 cs.CV 70%

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

Zhenbo Xu, Wei Zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang

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

Comments Accpeted by AAAI 2020 as Oral presentation; The github page will be updated in March,2020

2002.05316 2020-02-14 cs.CV 70%

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud

Hongwei Yi, Shaoshuai Shi, Mingyu Ding, Jiankai Sun, Kui Xu, Hui Zhou, Zhe Wang, Sheng Li, Guoping Wang

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

Comments Accepted by ICRA2020

2002.02362 2020-02-07 cs.CV 70%

Lane Boundary Geometry Extraction from Satellite Imagery

Andi Zang, Runsheng Xu, Zichen Li, David Doria

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

Journal ref In Proceedings of the 1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles, page 1. ACM, 2017

1908.11069 2019-12-04 cs.CV 70%

StarNet: Targeted Computation for Object Detection in Point Clouds

Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan

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

1911.12236 2019-11-28 cs.CV 70%

PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

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

1910.10142 2019-10-23 cs.RO cs.MA 70%

Multiple criteria decision-making for lane-change model

Ao Li, Liting Sun, Wei Zhan, Masayoshi Tomizuka

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

Comments Submitted to ICRA 2020

1907.06038 2019-08-13 cs.CV 70%

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Garrick Brazil, Xiaoming Liu

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

Comments To appear in ICCV 2019 as an oral presentation

1908.01238 2019-08-06 cs.CV 70%

Learning Guided Convolutional Network for Depth Completion

Jie Tang, Fei-Peng Tian, Wei Feng, Jian Li, Ping Tan

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

Comments Submitted to the IEEE Transactions on Image Processing (TIP)

1907.05286 2019-07-17 cs.CV cs.LG stat.ML 70%

Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds

Bei Wang, Jianping An, Jiayan Cao

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

1905.08758 2019-05-22 cs.RO 70%

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge

Keenan Burnett, Sepehr Samavi, Steven L. Waslander, Timothy D. Barfoot, Angela P. Schoellig

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

Comments Accepted to CRV (Computer and Robot Vision) 2019

1905.07754 2019-05-21 cs.CV cs.LG 70%

Multimodal 3D Object Detection from Simulated Pretraining

Åsmund Brekke, Fredrik Vatsendvik, Frank Lindseth

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

Comments 12 pages, part of proceedings for the NAIS 2019 symposium

1905.05265 2019-05-15 cs.CV 70%

Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds

Qi Chen, Sihai Tang, Qing Yang, Song Fu

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

Comments Accepted by the 39th IEEE International Conference on Distributed Computing Systems (ICDCS 2019)

1812.05784 2019-05-08 cs.LG cs.CV stat.ML 70%

PointPillars: Fast Encoders for Object Detection from Point Clouds

Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom

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

Comments 9 pages. v1 is initial submission to CVPR 2019. v2 is final version accepted for publication at CVPR 2019

1905.01555 2019-05-07 cs.CV 70%

Deep Multi-Sensor Lane Detection

Min Bai, Gellert Mattyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun

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

Comments IEEE International Conference on Intelligent Robots and Systems (IROS) 2018

1902.06326 2019-03-05 cs.CV 70%

PIXOR: Real-time 3D Object Detection from Point Clouds

Bin Yang, Wenjie Luo, Raquel Urtasun

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

Comments Update of CVPR2018 paper: correct timing, fix typos, add acknowledgement

1812.05914 2018-12-17 cs.CV 70%

End to End Video Segmentation for Driving : Lane Detection For Autonomous Car

Wenhui Zhang, Tejas Mahale

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

Comments arXiv admin note: text overlap with arXiv:1806.07226 by other authors

1. 感知 6059 篇

Attention-based 3D Object Reconstruction from a Single Image

Deep Traffic Sign Detection and Recognition Without Target Domain Real Images

RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects

PolyLaneNet: Lane Estimation via Deep Polynomial Regression

Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing

A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs

Train in Germany, Test in The USA: Making 3D Object Detectors Generalize

High Precision Indoor Navigation for Autonomous Vehicles

Efficient Bird Eye View Proposals for 3D Siamese Tracking

3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds

A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators

Developments in Modern GNSS and Its Impact on Autonomous Vehicle Architectures

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

Confidence Guided Stereo 3D Object Detection with Split Depth Estimation

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud

Lane Boundary Geometry Extraction from Satellite Imagery

StarNet: Targeted Computation for Object Detection in Point Clouds

PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement

Multiple criteria decision-making for lane-change model

M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Learning Guided Convolutional Network for Depth Completion

Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds

aUToTrack: A Lightweight Object Detection and Tracking System for the SAE AutoDrive Challenge

Multimodal 3D Object Detection from Simulated Pretraining

Cooper: Cooperative Perception for Connected Autonomous Vehicles based on 3D Point Clouds

PointPillars: Fast Encoders for Object Detection from Point Clouds

Deep Multi-Sensor Lane Detection

PIXOR: Real-time 3D Object Detection from Point Clouds

End to End Video Segmentation for Driving : Lane Detection For Autonomous Car