Novel of comparison between 3d high definition maps created by photogrammetry and laser scanning applied for an autonomous vehicle
Author affiliations
DOI:
https://doi.org/10.15625/2525-2518/59/3/15848Keywords:
Autonomous Vehicle, Point Cloud map, Velodyne, HD mapAbstract
In this paper, based on the selected mathematical algorithm, the performing of two methods for building high-resolution 3D maps that are Photographmetry and Laser scanning was analyzed to find out the advantages and disadvantages of each one. The results showed that the high-resolution map constructed by using lidar was more accurate and detailed, whereas the map constructed by using images with coordinates was more intuitive. A mapping method using lidar-camera fusion was proposed in which the detailed roads are created by Lidar and the rest area built by optical imaging method.
Downloads
References
SAE International Releases Updated Visual Chart for Its “Levels of Driving Automation” Standard for Self-Driving Vehicles, https://www.sae.org/news/press-room/2018/12/sae-international-releases-updated-visual-chart-for-its-“levels-of-driving-automation”-standard-for-self-driving-vehicles (2018).
Peng H, Ye Q, Shen X. Spectrum Management for Multi-Access Edge Computing in Autonomous Vehicular Networks. IEEE Trans Intell Transp Syst. Epub ahead of print 2020. DOI: 10.1109/TITS.2019.2922656.
Brown. Duane C. Brown Memorial Address. Photogramm Eng Remote Sensing.
Chetverikov D, Svirko D, Stepanov D, et al. The trimmed iterative closest point algorithm. In: Proceedings - International Conference on Pattern Recognition. 2002. Epub ahead of print 2002. DOI: 10.1109/icpr.2002.1047997.
Sobreira H, Costa CM, Sousa I, et al. Map-Matching Algorithms for Robot Self-Localization: A Comparison Between Perfect Match, Iterative Closest Point and Normal Distributions Transform. J Intell Robot Syst Theory Appl 2019; 93: 533–546.
Carballo A, Monrroy A, Wong D, et al. Characterization of Multiple 3D LiDARs for Localization and Mapping using Normal Distributions Transform, http://arxiv.org/abs/2004.01374 (2020).
Takeuchi E, Tsubouchi T. A 3-D scan matching using improved 3-D normal distributions transform for mobile robotic mapping. In: IEEE International Conference on Intelligent Robots and Systems. 2006. Epub ahead of print 2006. DOI: 10.1109/IROS.2006.282246.
Akai N, Morales LY, Takeuchi E, et al. Robust localization using 3D NDT scan matching with experimentally determined uncertainty and road marker matching. IEEE Intell Veh Symp Proc 2017; 1356–1363.
Xuan Nang H, Anh Son L. DESIGN AND MANUFACTURE THE POINT CLOUD MAP BUILDING SYSTEM FOR AUTONOMOUS VEHICLE BASED ON DIGITAL CAMERA. Vietnam J Mech 2020; 6: 182–187.
Rusinkiewicz S, Levoy M. Efficient variants of the ICP algorithm. Proc Int Conf 3-D Digit Imaging Model 3DIM 2001; 145–152.
Xuan Nang H, Anh Son L. CREATING HIGH-DEFINITION 3D MAP FOR AUTONOMOUS VEHICLES WITH VELODYNE. J Sci Technol 2020 - Danang University; 18: 44–47.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Vietnam Journal of Sciences and Technology (VJST) is an open access and peer-reviewed journal. All academic publications could be made free to read and downloaded for everyone. In addition, articles are published under term of the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA) Licence which permits use, distribution and reproduction in any medium, provided the original work is properly cited & ShareAlike terms followed.
Copyright on any research article published in VJST is retained by the respective author(s), without restrictions. Authors grant VAST Journals System a license to publish the article and identify itself as the original publisher. Upon author(s) by giving permission to VJST either via VJST journal portal or other channel to publish their research work in VJST agrees to all the terms and conditions of https://creativecommons.org/licenses/by-sa/4.0/ License and terms & condition set by VJST.
Authors have the responsibility of to secure all necessary copyright permissions for the use of 3rd-party materials in their manuscript.