自动驾驶 - arXivDaily 专题

2105.13688 2021-05-31 cs.CV 79%

Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving

Victor Besnier, David Picard, Alexandre Briot

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

2012.05796 2021-05-14 cs.CV 79%

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?

Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2105.03533 2021-05-12 cs.CV 79%

Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving

Mennatullah Siam, Alex Kendall, Martin Jagersand

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

2006.00821 2021-05-04 cs.CV cs.LG 79%

Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving

Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz

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

2103.11015 2021-04-21 cs.CV 79%

Video Class Agnostic Segmentation Benchmark for Autonomous Driving

Mennatullah Siam, Alex Kendall, Martin Jagersand

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

Comments Accepted in WAD workshop, CVPR 2021

2011.12953 2021-04-20 cs.CV 79%

Unsupervised Object Detection with LiDAR Clues

Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2003.00888 2021-04-09 cs.CV 79%

3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction

Guus Engels, Nerea Aranjuelo, Ignacio Arganda-Carreras, Marcos Nieto, Oihana Otaegui

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments 10 pages, 8 figures, 6th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS 2020)

1903.11444 2021-03-31 cs.CV 79%

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Xin Fan, Wanli Ouyang

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

Comments To appear in ICCV'19

2011.01404 2021-03-30 cs.CV 79%

Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion

Haolin Zhang, Dongfang Yang, Ekim Yurtsever, Keith A. Redmill, Ümit Özgüner

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2103.14269 2021-03-29 cs.CV 79%

Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation

Peishan Cong, Xinge Zhu, Yuexin Ma

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted by ICME 2021

2102.03722 2021-02-09 cs.CV cs.CR cs.LG 79%

Object Removal Attacks on LiDAR-based 3D Object Detectors

Zhongyuan Hau, Kenneth T. Co, Soteris Demetriou, Emil C. Lupu

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted to AutoSec at NDSS 2021

2101.12581 2021-02-01 cs.RO 79%

Automated decontamination of workspaces using UVC coupled with occupancy detection

Asit Kumar Mishra, Federico Tartarini, Zuraimi Sultan, Stefano Schiavon

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

Comments 7 pages, four figures

2011.13528 2021-01-29 cs.CV 79%

The NEOLIX Open Dataset for Autonomous Driving

Lichao Wang, Lanxin Lei, Hongli Song, Weibao Wang

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

Comments 7 pages, 6 figures

2101.06554 2021-01-19 cs.LG cs.RO 79%

Diverse Complexity Measures for Dataset Curation in Self-driving

Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer

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

Comments 13 pages

2006.10011 2021-01-05 cs.CV cs.LG 79%

Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances

Lukas Hahn, Frederik Hasecke, Anton Kummert

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments 6 pages, 5 figures, 4 tables; accepted to appear in IEEE ITSC 2020

Journal ref 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020, pp. 1-6

2009.14349 2020-12-09 cs.DC cs.RO 79%

Computing Systems for Autonomous Driving: State-of-the-Art and Challenges

Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi

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

Comments Accepted to IEEE Internet of Things Journal (19 pages, 2 figures, 4 tables)

2003.08284 2020-11-17 cs.CV 79%

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li

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

Comments Toronto-3D dataset can be downloaded at https://github.com/WeikaiTan/Toronto-3D

2011.06372 2020-11-13 cs.CV 79%

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

Wonseok Jang, Hansaem Jeong, Kyungtae Kang, Nikil Dutt, Jong-Chan Kim

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

Comments 14 pages, 16 figures. Accepted to the 41st IEEE Real-Time Systems Symposium (RTSS), 2020

2010.08243 2020-10-20 cs.CV 79%

SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

Cristiano Saltori, Stéphane Lathuiliére, Nicu Sebe, Elisa Ricci, Fabio Galasso

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments Accepted paper at 3DV 2020

2010.08092 2020-10-19 cs.CV 79%

Human Segmentation with Dynamic LiDAR Data

Tao Zhong, Wonjik Kim, Masayuki Tanaka, Masatoshi Okutomi

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2010.06900 2020-10-15 cs.CV 79%

Development of Open Informal Dataset Affecting Autonomous Driving

Yong-Gu Lee, Seong-Jae Lee, Sang-Jin Lee, Tae-Seung Baek, Dong-Whan Lee, Kyeong-Chan Jang, Ho-Jin Sohn, Jin-Soo Kim

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

Comments 26 pages, 16 figures

2009.00784 2020-09-03 cs.CV 79%

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

Su Pang, Daniel Morris, Hayder Radha

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2008.12599 2020-08-31 cs.CV 79%

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges

Shaoshuai Shi, Chaoxu Guo, Jihan Yang, Hongsheng Li

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

2008.05654 2020-08-25 cs.CV cs.LG 79%

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras

Homagni Saha, Sin Yong Tan, Ali Saffari, Mohamad Katanbaf, Joshua R. Smith, Soumik Sarkar

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

Comments 9 pages

2007.12668 2020-08-24 cs.CV cs.LG 79%

KPRNet: Improving projection-based LiDAR semantic segmentation

Deyvid Kochanov, Fatemeh Karimi Nejadasl, Olaf Booij

专题命中感知：LiDAR(title,abstract)；分类 cs.CV

Comments "ECCV 2020. Code and pre-trained models at https://github.com/DeyvidKochanov-TomTom/kprnet"

1907.10994 2020-08-13 cs.LG cs.RO stat.ML 79%

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving

Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker

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

Comments Accepted at IROS 2019

1909.03330 2020-08-07 cs.RO cs.DB 79%

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

Zhi Yan, Li Sun, Tomas Krajnik, Yassine Ruichek

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

Comments 8 pages, 8 figures, accepted at IROS 2020

1902.07830 2020-07-20 cs.RO 79%

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer

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

Comments Update copyright; Interactive platform online: https://boschresearch.github.io/multimodalperception/

2007.08116 2020-07-17 cs.CV 79%

PerMO: Perceiving More at Once from a Single Image for Autonomous Driving

Feixiang Lu, Zongdai Liu, Xibin Song, Dingfu Zhou, Wei Li, Hui Miao, Miao Liao, Liangjun Zhang, Bin Zhou, Ruigang Yang, Dinesh Manocha

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

2006.15110 2020-06-29 cs.LG cs.RO 79%

Learning predictive representations in autonomous driving to improve deep reinforcement learning

Daniel Graves, Nhat M. Nguyen, Kimia Hassanzadeh, Jun Jin

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

1. 感知 6057 篇

Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving

Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?

Video Class Agnostic Segmentation with Contrastive Learning for Autonomous Driving

Exploring Thermal Images for Object Detection in Underexposure Regions for Autonomous Driving

Video Class Agnostic Segmentation Benchmark for Autonomous Driving

Unsupervised Object Detection with LiDAR Clues

3D Object Detection From LiDAR Data Using Distance Dependent Feature Extraction

Accurate Monocular Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion

Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation

Object Removal Attacks on LiDAR-based 3D Object Detectors

Automated decontamination of workspaces using UVC coupled with occupancy detection

The NEOLIX Open Dataset for Autonomous Driving

Diverse Complexity Measures for Dataset Curation in Self-driving

Fast Object Classification and Meaningful Data Representation of Segmented Lidar Instances

Computing Systems for Autonomous Driving: State-of-the-Art and Challenges

Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

SF-UDA$^{3D}$: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

Human Segmentation with Dynamic LiDAR Data

Development of Open Informal Dataset Affecting Autonomous Driving

CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges

Few shot clustering for indoor occupancy detection with extremely low-quality images from battery free cameras

KPRNet: Improving projection-based LiDAR semantic segmentation

Dynamic Input for Deep Reinforcement Learning in Autonomous Driving

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges

PerMO: Perceiving More at Once from a Single Image for Autonomous Driving

Learning predictive representations in autonomous driving to improve deep reinforcement learning