自动驾驶 - arXivDaily 专题

2012.07541 2021-03-08 cs.CV cs.RO 62%

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association

Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, Zhen Yang

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Internship technical report

2007.14549 2021-02-25 cs.CV cs.RO 62%

Online Visual Place Recognition via Saliency Re-identification

Han Wang, Chen Wang, Lihua Xie

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

Comments Accepted by IEEE/RSJ International Conference on Intelligent Robots and Systems 2020 (IROS)

Journal ref IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

2101.10444 2021-01-27 cs.CV eess.IV 62%

GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS

Baohua Sun, Weixiong Lin, Hao Sha, Jiapeng Su

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

Comments 7 pages, 3 figures, and 2 tables

2101.08850 2021-01-25 cs.CV cs.AI 62%

A Spike Learning System for Event-driven Object Recognition

Shibo Zhou, Wei Wang, Xiaohua Li, Zhanpeng Jin

专题命中感知：LiDAR(abstract)；分类 cs.CV、cs.AI

Comments Shibo Zhou and Wei Wang contributed equally to this work

2005.09927 2021-01-25 cs.CV cs.LG cs.RO 62%

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection

Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments CoRL 2020

2101.06653 2021-01-19 cs.CV cs.RO 62%

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun

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

1909.13377 2021-01-15 cs.LG cs.CV cs.RO stat.ML 62%

Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes

Jiacheng Pan, Hongyi Sun, Kecheng Xu, Yifei Jiang, Xiangquan Xiao, Jiangtao Hu, Jinghao Miao

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

Comments IROS 2020

2101.03541 2021-01-12 cs.CV cs.AI cs.LG 62%

Heatmap-based Object Detection and Tracking with a Fully Convolutional Neural Network

Fabian Amherd, Elias Rodriguez

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

Comments 30 pages, 29 figures

2101.03279 2021-01-12 cs.RO cs.CV cs.LG 62%

Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models

Abhishek Mohta, Fang-Chieh Chou, Brian C. Becker, Carlos Vallespi-Gonzalez, Nemanja Djuric

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

2101.00443 2021-01-05 cs.RO cs.CV cs.HC cs.LG 62%

Semantics for Robotic Mapping, Perception and Interaction: A Survey

Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian Reid, Stephen Gould, Peter Corke, Michael Milford

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

Comments 81 pages, 1 figure, published in Foundations and Trends in Robotics, 2020

Journal ref Foundations and Trends in Robotics: Vol. 8: No. 1-2, pp 1-224 (2020)

1911.07421 2021-01-05 cs.CV cs.AI cs.LG cs.MM 62%

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

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

Comments Accepted to AAAI 2021

2010.06626 2021-01-01 cs.CV cs.LG cs.RO 62%

On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation

Raul de Queiroz Mendes, Eduardo Godinho Ribeiro, Nicolas dos Santos Rosa, Valdir Grassi

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 29 pages, 16 figures. Preprint published in the Elsevier's Robotics and Autonomous Systems journal on November 23, 2020

Journal ref Journal: Robotics and Autonomous Systems, publisher: Elsevier, volume number: 136, year: 2020, page number: 103701

2012.12377 2020-12-24 cs.CV cs.RO 62%

DAGMapper: Learning to Map by Discovering Lane Topology

Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan, Raquel Urtasun

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

Comments Published at ICCV 2019

1912.04986 2020-12-23 cs.CV cs.RO 62%

What You See is What You Get: Exploiting Visibility for 3D Object Detection

Peiyun Hu, Jason Ziglar, David Held, Deva Ramanan

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments CVPR'20. More at https://www.cs.cmu.edu/~peiyunh/wysiwyg

2006.14822 2020-12-15 eess.IV cs.CV cs.LG 62%

A survey of loss functions for semantic segmentation

Shruti Jadon

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

Comments 5 pages, 5 figures, 2 tables

Journal ref 2020 IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology

2012.06523 2020-12-14 cs.CV cs.AI cs.LG 62%

Dependency Decomposition and a Reject Option for Explainable Models

Jan Kronenberger, Anselm Haselhoff

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

Comments Accepted at CVPR 2019 Workshop "DThree19: Dependable Deep Detectors"

2010.14599 2020-11-22 cs.CV cs.LG eess.IV 62%

Stereo Frustums: A Siamese Pipeline for 3D Object Detection

Xi Mo, Usman Sajid, Guanghui Wang

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

Comments Accepted by Journal of Intelligent & Robotic Systems (JIRS)

2005.11816 2020-11-17 cs.RO cs.AI 62%

Monitoring and Diagnosability of Perception Systems

Pasquale Antonante, David I. Spivak, Luca Carlone

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

1806.11534 2020-11-13 cs.CV cs.LG cs.RO 62%

End-to-end Learning of Multi-sensor 3D Tracking by Detection

Davi Frossard, Raquel Urtasun

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Presented at IEEE International Conference on Robotics and Automation (ICRA), 2018

Journal ref In 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 635-642. IEEE, 2018

2011.03216 2020-11-09 cs.RO cs.CV cs.IT cs.NI cs.SY eess.SY math.IT 62%

Task-relevant Representation Learning for Networked Robotic Perception

Manabu Nakanoya, Sandeep Chinchali, Alexandros Anemogiannis, Akul Datta, Sachin Katti, Marco Pavone

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

2010.16285 2020-11-02 cs.CV cs.RO 62%

All-Weather Object Recognition Using Radar and Infrared Sensing

Marcel Sheeny

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments 201 pages, PhD Thesis, Heriot-Watt University, October 2020. Includes results from arXiv:1804.02576, arXiv:1912.03157, https://www.mdpi.com/2076-3417/10/11/3861 and arXiv:2010.09076

2010.15740 2020-10-30 cs.CV cs.LG eess.IV 62%

Recurrent Neural Networks for video object detection

Ahmad B Qasim, Arnd Pettirsch

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

2010.07820 2020-10-16 cs.RO cs.CV 62%

DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM

Berta Bescos, Carlos Campos, Juan D. Tardós, José Neira

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

2003.05656 2020-10-13 cs.RO cs.CV 62%

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

Han Wang, Chen Wang, Lihua Xie

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Accepted in International Conference on Robotics and Automation (ICRA) 2020

Journal ref 2020 IEEE International Conference on Robotics and Automation (ICRA)

2002.06604 2020-09-15 cs.CV cs.LG eess.IV 62%

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, Witold Pedrycz

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

Comments Submitted to "IEEE Transactions on Intelligent Transportation Systems"

2008.12969 2020-09-01 cs.CV cs.LG cs.RO 62%

Driving Through Ghosts: Behavioral Cloning with False Positives

Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard

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

Comments 7 pages, 5 figures, 4 tables, accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)

1909.01643 2020-08-27 cs.CV cs.RO 62%

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong Liu

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

Comments This paper has been accepted by IROS-2019

1908.05005 2020-08-26 cs.CV eess.IV 62%

Benchmarking the Robustness of Semantic Segmentation Models

Christoph Kamann, Carsten Rother

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

Comments CVPR 2020 camera ready

2008.07712 2020-08-19 cs.CV eess.IV 62%

Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects

Pan Zhang, Wilfredo Torres Calderon, Bokyung Lee, Alex Tessier, Jacky Bibliowicz, Liviu Calin, Michael Lee

专题命中感知：occupancy(abstract)；分类 cs.CV、eess.IV

2006.12015 2020-08-19 cs.CV cs.LG cs.RO 62%

Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles

Hujie Pan, Zining Wang, Wei Zhan, Masayoshi Tomizuka

专题命中感知：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments ITSC2020

1. 感知 6063 篇

FlowMOT: 3D Multi-Object Tracking by Scene Flow Association

Online Visual Place Recognition via Saliency Re-identification

GnetSeg: Semantic Segmentation Model Optimized on a 224mW CNN Accelerator Chip at the Speed of 318FPS

A Spike Learning System for Event-driven Object Recognition

Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection

LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting

Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes

Heatmap-based Object Detection and Tracking with a Fully Convolutional Neural Network

Investigating the Effect of Sensor Modalities in Multi-Sensor Detection-Prediction Models

Semantics for Robotic Mapping, Perception and Interaction: A Survey

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models

On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation

DAGMapper: Learning to Map by Discovering Lane Topology

What You See is What You Get: Exploiting Visibility for 3D Object Detection

A survey of loss functions for semantic segmentation

Dependency Decomposition and a Reject Option for Explainable Models

Stereo Frustums: A Siamese Pipeline for 3D Object Detection

Monitoring and Diagnosability of Perception Systems

End-to-end Learning of Multi-sensor 3D Tracking by Detection

Task-relevant Representation Learning for Networked Robotic Perception

All-Weather Object Recognition Using Radar and Infrared Sensing

Recurrent Neural Networks for video object detection

DynaSLAM II: Tightly-Coupled Multi-Object Tracking and SLAM

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

Key Points Estimation and Point Instance Segmentation Approach for Lane Detection

Driving Through Ghosts: Behavioral Cloning with False Positives

PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud

Benchmarking the Robustness of Semantic Segmentation Models

Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects

Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles