Construction process of a three-dimensional roadway geometry map for autonomous driving. (September 2017)
- Record Type:
- Journal Article
- Title:
- Construction process of a three-dimensional roadway geometry map for autonomous driving. (September 2017)
- Main Title:
- Construction process of a three-dimensional roadway geometry map for autonomous driving
- Authors:
- Jo, Kichun
Lee, Minchul
Kim, Chansoo
Sunwoo, Myoungho - Abstract:
- This paper presents a construction process of the three-dimensional roadway geometry map for an autonomous driving system. The presented process focuses on the post-processing and the three-dimensional roadway geometry modelling algorithms. The post-processing algorithm refines the raw Global Positioning System position data by combining the novel three-dimensional roadway geometry model which originated from the construction engineering of roadways and vehicle motion data from onboard sensors using a Rauch–Tung–Striebel smoother. The three-dimensional geometry modelling algorithm approximates the road geometry information described in three-dimensional point clouds into a mathematical curve model based on the B-spline. An adaptive curve refinement method using dominant points was applied to the road modelling algorithm. This dominant-point-based refinement method can reduce the number of knots and the number of control points of the B-spline road model while maintaining the desired accuracy of the roadway map. Also, since the dominant-point refinement method considers a road shape factor, such as the curvature and the arc length, for the road modelling, it is more efficient than the previous B-spline road modelling algorithms. The proposed map generation algorithm was verified and evaluated through experiments in various test conditions. The experimental results show that the presented construction process of the three-dimensional roadway geometry map can provide sufficientThis paper presents a construction process of the three-dimensional roadway geometry map for an autonomous driving system. The presented process focuses on the post-processing and the three-dimensional roadway geometry modelling algorithms. The post-processing algorithm refines the raw Global Positioning System position data by combining the novel three-dimensional roadway geometry model which originated from the construction engineering of roadways and vehicle motion data from onboard sensors using a Rauch–Tung–Striebel smoother. The three-dimensional geometry modelling algorithm approximates the road geometry information described in three-dimensional point clouds into a mathematical curve model based on the B-spline. An adaptive curve refinement method using dominant points was applied to the road modelling algorithm. This dominant-point-based refinement method can reduce the number of knots and the number of control points of the B-spline road model while maintaining the desired accuracy of the roadway map. Also, since the dominant-point refinement method considers a road shape factor, such as the curvature and the arc length, for the road modelling, it is more efficient than the previous B-spline road modelling algorithms. The proposed map generation algorithm was verified and evaluated through experiments in various test conditions. The experimental results show that the presented construction process of the three-dimensional roadway geometry map can provide sufficient accuracy, reliability and efficiency for applications of autonomous driving systems in comparison with those of other roadway map construction processes. … (more)
- Is Part Of:
- Proceedings of the Institution of Mechanical Engineers. Volume 231:Number 10(2017:Oct.)
- Journal:
- Proceedings of the Institution of Mechanical Engineers
- Issue:
- Volume 231:Number 10(2017:Oct.)
- Issue Display:
- Volume 231, Issue 10 (2017)
- Year:
- 2017
- Volume:
- 231
- Issue:
- 10
- Issue Sort Value:
- 2017-0231-0010-0000
- Page Start:
- 1414
- Page End:
- 1434
- Publication Date:
- 2017-09
- Subjects:
- Three-dimensional map generation -- post-processing -- B-spline road modelling -- autonomous driving -- Rauch–Tung–Striebel method
Mechanical engineering -- Congresses
Transportation engineering -- Congresses
629.2 - Journal URLs:
- http://pid.sagepub.com/ ↗
http://www.uk.sagepub.com/home.nav ↗
http://journals.pepublishing.com/content/119783 ↗ - DOI:
- 10.1177/0954407016675060 ↗
- Languages:
- English
- ISSNs:
- 0954-4070
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
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- 7811.xml