自动驾驶 - arXivDaily 专题

1803.00471 2019-01-23 cs.CY cs.RO 57%

Making intersections safer with I2V communication

Offer Grembek, Alex Kurzhanskiy, Aditya Medury, Pravin Varaiya, Mengqiao Yu

专题命中感知：occupancy(abstract)；分类 cs.RO

1809.06065 2019-01-17 cs.CV 57%

Focal Loss in 3D Object Detection

Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu

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

Comments IEEE RA-L 2019 to appear. Codes and trained weights are available on the project page(https://goo.gl/2hFbmL)

1812.09953 2019-01-11 cs.CV 57%

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

Yang Zhang, Philip David, Hassan Foroosh, Boqing Gong

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

Comments This is the journal version of arXiv:1707.09465

1809.02228 2019-01-04 cs.CV 57%

Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis

A. A. Smagina, D. A. Shepelev, E. I. Ershov, A. S. Grigoryev

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

Journal ref IOP Conf. Series: Journal of Physics: Conf. Series 1096 (2018) 012035

1810.12829 2018-12-26 cs.CV 57%

Cross-Modal Attentional Context Learning for RGB-D Object Detection

Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin

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

Comments Accept as a regular paper to IEEE Transactions on Image Processing

1812.05276 2018-12-14 cs.CV 57%

IPOD: Intensive Point-based Object Detector for Point Cloud

Zetong Yang, Yanan Sun, Shu Liu, Xiaoyong Shen, Jiaya Jia

专题命中感知：BEV(abstract)；分类 cs.CV

1805.05098 2018-12-13 cs.CR cs.CV 57%

Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks

Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang

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

Comments 6 pages, 8 figures, 5 tables, accepted to ISVLSI 2018

1711.06406 2018-12-06 cs.CV 57%

Predicting Driver Attention in Critical Situations

Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney

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

Comments ACCV 2018

1811.09834 2018-11-27 cs.CV cs.LG stat.ML 57%

Efficient Video Understanding via Layered Multi Frame-Rate Analysis

Ziyao Tang, Yongxi Lu, Tara Javidi

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

Comments under review

1807.01452 2018-11-26 cs.CV 57%

Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation

Trung-Nghia Le, Akihiro Sugimoto

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

Comments accepted in WACV 2019

1811.08188 2018-11-21 cs.CV 57%

Orthographic Feature Transform for Monocular 3D Object Detection

Thomas Roddick, Alex Kendall, Roberto Cipolla

专题命中感知：LiDAR(abstract)；分类 cs.CV

1811.07258 2018-11-20 cs.CV 57%

Exploit the Connectivity: Multi-Object Tracking with TrackletNet

Gaoang Wang, Yizhou Wang, Haotian Zhang, Renshu Gu, Jenq-Neng Hwang

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

1707.09465 2018-11-15 cs.CV cs.LG 57%

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

Yang Zhang, Philip David, Boqing Gong

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

Comments This is the extended version of the ICCV 2017 paper "Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes" with additional GTA experiment

1811.05304 2018-11-14 cs.CV 57%

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

Fu-En Wang, Hou-Ning Hu, Hsien-Tzu Cheng, Juan-Ting Lin, Shang-Ta Yang, Meng-Li Shih, Hung-Kuo Chu, Min Sun

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

Comments ACCV 2018 Oral

1811.04535 2018-11-13 cs.CV 57%

Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN

Janpreet Singh, Shashank Shekhar

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

Comments Both authors contributed equally to the paper. Under submission to the IEEE International Conference On Big Data Cup 2018

1811.03818 2018-11-12 cs.CV 57%

RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement

Kiwoo Shin, Youngwook Paul Kwon, Masayoshi Tomizuka

专题命中感知：LiDAR(abstract)；分类 cs.CV

Comments 7 pages, 8 figures, 2 tables

1809.08098 2018-11-09 cs.LG cs.AI cs.LO stat.ML 57%

Efficient Formal Safety Analysis of Neural Networks

Shiqi Wang, Kexin Pei, Justin Whitehouse, Junfeng Yang, Suman Jana

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

Comments Accepted to NIPS'18

1803.10474 2018-10-30 cs.CV 57%

Objects Localisation from Motion with Constraints

Paul Gay, Alessio Del Bue

专题命中感知：occupancy(abstract)；分类 cs.CV

Comments 4 pages. This paper has been withdrawn as it has been merged with another submission: arXiv:1807.05933

1810.05107 2018-10-12 cs.CV 57%

Crack-pot: Autonomous Road Crack and Pothole Detection

Sukhad Anand, Saksham Gupta, Vaibhav Darbari, Shivam Kohli

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

Comments Submitted at DICTA 2018

1809.09299 2018-09-26 cs.CV 57%

Triply Supervised Decoder Networks for Joint Detection and Segmentation

Jiale Cao, Yanwei Pang, Xuelong Li

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

1809.07986 2018-09-24 cs.RO 57%

Computationally efficient dense moving object detection based on reduced space disparity estimation

Goran Popović, Antea Hadviger, Ivan Marković, Ivan Petrović

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

1803.08018 2018-09-13 cs.CV cs.LG 57%

Monocular Depth Estimation by Learning from Heterogeneous Datasets

Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa, Antonio M. Lopez

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

Comments Accepted in IEEE-Intelligent Vehicles Symposium, IV'2018

1809.03576 2018-09-12 cs.LG cs.CV stat.ML 57%

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke

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

1809.01444 2018-09-06 cs.CV 57%

Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery

Clint Sebastian, Ries Uittenbogaard, Julien Vijverberg, Bas Boom, Peter H. N. de With

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

Comments The first two authors have equal contribution. Accepted at International Conference on Pattern Recognition 2018 (ICPR)

1808.00769 2018-09-03 cs.CV 57%

Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

Maximilian Jaritz, Raoul de Charette, Emilie Wirbel, Xavier Perrotton, Fawzi Nashashibi

专题命中感知：LiDAR(abstract)；分类 cs.CV

Comments 3DV 2018

1808.09128 2018-08-29 cs.CV 57%

Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation

Han Ma, Yixin Ma, Jianhao Jiao, M Usman Maqbool Bhutta, Mohammud Junaid Bocus, Lujia Wang, Ming Liu, Rui Fan

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

Comments 5 pages, 7 figures, IEEE International Conference on Imaging Systems and Techniques (IST) 2018

1709.02142 2018-08-29 cs.CV 57%

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

Anders Glent Buch, Lilita Kiforenko, Dirk Kraft

专题命中感知：LiDAR(abstract)；分类 cs.CV

Comments Accepted for International Conference on Computer Vision (ICCV), 2017

Journal ref 2017 IEEE International Conference on Computer Vision (ICCV)

1808.08603 2018-08-28 cs.CV 57%

Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data

Xinlei Pan, Sung-Li Chiang, John Canny

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

1808.06586 2018-08-21 cs.CV 57%

Learning Monocular Depth by Distilling Cross-domain Stereo Networks

Xiaoyang Guo, Hongsheng Li, Shuai Yi, Jimmy Ren, Xiaogang Wang

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

Comments ECCV 2018

1808.04818 2018-08-15 cs.CV 57%

Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation

Chengyang Li, Dan Song, Ruofeng Tong, Min Tang

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

Comments British Machine Vision Conference (BMVC) 2018

1. 感知 6072 篇

Making intersections safer with I2V communication

Focal Loss in 3D Object Detection

A Curriculum Domain Adaptation Approach to the Semantic Segmentation of Urban Scenes

Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis

Cross-Modal Attentional Context Learning for RGB-D Object Detection

IPOD: Intensive Point-based Object Detector for Point Cloud

Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks

Predicting Driver Attention in Critical Situations

Efficient Video Understanding via Layered Multi Frame-Rate Analysis

Semantic Instance Meets Salient Object: Study on Video Semantic Salient Instance Segmentation

Orthographic Feature Transform for Monocular 3D Object Detection

Exploit the Connectivity: Multi-Object Tracking with TrackletNet

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes

Self-Supervised Learning of Depth and Camera Motion from 360° Videos

Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN

RoarNet: A Robust 3D Object Detection based on RegiOn Approximation Refinement

Efficient Formal Safety Analysis of Neural Networks

Objects Localisation from Motion with Constraints

Crack-pot: Autonomous Road Crack and Pothole Detection

Triply Supervised Decoder Networks for Joint Detection and Segmentation

Computationally efficient dense moving object detection based on reduced space disparity estimation

Monocular Depth Estimation by Learning from Heterogeneous Datasets

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers

Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery

Sparse and Dense Data with CNNs: Depth Completion and Semantic Segmentation

Multiple Lane Detection Algorithm Based on Optimised Dense Disparity Map Estimation

Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

Label and Sample: Efficient Training of Vehicle Object Detector from Sparsely Labeled Data

Learning Monocular Depth by Distilling Cross-domain Stereo Networks

Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation