JRM Vol.32 No.3 pp. 613-623
doi: 10.20965/jrm.2020.p0613

Development Report:

Lane-Marker-Based Map Construction and Map Precision Evaluation Methods Using On-Board Cameras for Autonomous Driving

Kenta Maeda*, Junya Takahashi*, and Pongsathorn Raksincharoensak**

*Research & Development Group, Hitachi, Ltd.
832-2 Horiguchi, Hitachinaka, Ibaraki 312-0034, Japan

**Smart Mobility Research Center, Tokyo University of Agriculture and Technology
2-24-16 Naka-cho, Koganei, Tokyo 184-8588, Japan

December 17, 2019
May 7, 2020
June 20, 2020
autonomous driving, map construction, lane marker, camera, map evaluation
Lane-Marker-Based Map Construction and Map Precision Evaluation Methods Using On-Board Cameras for Autonomous Driving

Two cameras with different range and FOV

This report describes a map construction and evaluation method based on lane-marker information for autonomous driving. Autonomous driving systems typically require digital high-definition (HD) maps to correct the current position of autonomous vehicles by using localization techniques. However, an HD map is usually costly to generate because it requires a special-purpose vehicle and mapping system with precise and expensive sensors. This report presents a map construction method that uses cost-efficient on-board cameras. We implement two types of map construction methods with two different cameras in terms of range and field of view and test their performances to determine the minimum sensor specification required for autonomous driving. This report also presents a constructed map evaluation method to determine the “usability” of the map for autonomous driving. Given that the system cannot obtain “true” positions of landmarks, the method judges whether the constructed map contains sufficient information for localization via the presented indices “lateral-distance error.” The methods are verified based on mapping and localization errors determined via manual driving tests. Furthermore, the smoothness of steering maneuvers is determined by conducting autonomous driving tests on a proving ground. The results reveal the necessary conditions of sensor requirements, i.e., the constant visibility of landmarks is one of the key factors for ego-localization to conduct autonomous driving.

Cite this article as:
K. Maeda, J. Takahashi, and P. Raksincharoensak, “Lane-Marker-Based Map Construction and Map Precision Evaluation Methods Using On-Board Cameras for Autonomous Driving,” J. Robot. Mechatron., Vol.32, No.3, pp. 613-623, 2020.
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Last updated on Jul. 04, 2020