Registration of image and 3D LIDAR data from extrinsic calibration

2015 International Conference on Transportation Information and Safety (ICTIS) ◽

10.1109/ictis.2015.7232189 ◽

2015 ◽

Author(s):

Zhaozheng Hu ◽

Yuezhi Hu ◽

Yicheng Li ◽

Gang Huang

Keyword(s):

Extrinsic Calibration ◽

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Set-Membership Extrinsic Calibration of a 3D LiDAR and a Camera

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341266 ◽

2020 ◽

Author(s):

Raphael Voges ◽

Bernardo Wagner

Keyword(s):

Extrinsic Calibration ◽

Set Membership ◽

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Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2021.3076844 ◽

2021 ◽

pp. 1-19

Author(s):

Biao Gao ◽

Yancheng Pan ◽

Chengkun Li ◽

Sibo Geng ◽

Huijing Zhao

Keyword(s):

Semantic Segmentation ◽

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Student Session: Practical Insights on Acceleration for 3D Lidar Data Processing

2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) ◽

10.1109/rtcsa50079.2020.9203651 ◽

2020 ◽

Author(s):

Iljoo Baek ◽

Kamal Fuseini ◽

Ragunathan Raj Rajkumar

Keyword(s):

Data Processing ◽

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3D LIDAR Data Application for Urban Morphogenesis Multi-agent Vector Based Geosimulation

Computational Science and Its Applications – ICCSA 2008 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-69839-5_14 ◽

2008 ◽

pp. 179-193

Author(s):

Vitor Silva ◽

Corinne Plazanet ◽

Cláudio Carneiro ◽

François Golay

Keyword(s):

Data Application ◽

Multi Agent ◽

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A 3D LiDAR Data-Based Dedicated Road Boundary Detection Algorithm for Autonomous Vehicles

IEEE Access ◽

10.1109/access.2019.2902170 ◽

2019 ◽

Vol 7 ◽

pp. 29623-29638 ◽

Author(s):

Pengpeng Sun ◽

Xiangmo Zhao ◽

Zhigang Xu ◽

Runmin Wang ◽

Haigen Min

Keyword(s):

Autonomous Vehicles ◽

Boundary Detection ◽

Detection Algorithm ◽

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Object recognition in 3D lidar data with recurrent neural network

2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops ◽

10.1109/cvpr.2009.5204114 ◽

2009 ◽

Author(s):

D.V. Prokhorov

Keyword(s):

Neural Network ◽

Object Recognition ◽

Recurrent Neural Network ◽

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A Fast Approach for Vehicle-Like Region Proposal Based on 3D Lidar Data

2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics ◽

10.1109/ihmsc.2015.239 ◽

2015 ◽

Author(s):

Zhiyu Wang ◽

Bin Dai ◽

Hao Fu

Keyword(s):

Fast Approach ◽

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An algorithm of fast index constructing and neighbor searching for 3D LiDAR data

10.1117/12.2019658 ◽

2013 ◽

Author(s):

YiCong Feng ◽

MinYi Cen ◽

TongGang Zhang

Keyword(s):

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New approach of imagery generation and target recognition based on 3D LIDAR data

2009 9th International Conference on Electronic Measurement & Instruments ◽

10.1109/icemi.2009.5274790 ◽

2009 ◽

Author(s):

Jinhui Lan ◽

Zhuoxun Shen

Keyword(s):

Target Recognition ◽

New Approach ◽

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An approach for segmenting 3D LiDAR data using multi-volume grid structures

2017 13th IEEE International Conference on Intelligent Computer Communication and Processing (ICCP) ◽

10.1109/iccp.2017.8117022 ◽

2017 ◽

Author(s):

Selma Goga ◽

Sergiu Nedevschi

Keyword(s):

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