JRM Vol.32 No.6 pp. 1112-1120
doi: 10.20965/jrm.2020.p1112


Development of Edge-Node Map Based Navigation System Without Requirement of Prior Sensor Data Collection

Kazuki Takahashi, Jumpei Arima, Toshihiro Hayata, Yoshitaka Nagai, Naoya Sugiura, Ren Fukatsu, Wataru Yoshiuchi, and Yoji Kuroda

Meiji University
1-1-1 Higashimita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan

May 20, 2020
October 21, 2020
December 20, 2020
autonomous navigation, edge-node map, road following, intersection recognition

In this study, a novel framework for autonomous robot navigation system is proposed. The navigation system uses an edge-node map, which is easily created from electronic maps. Unlike a general self-localization method using an occupancy grid map or a 3D point cloud map, there is no need to run the robot in the target environment in advance to collect sensor data. In this system, the internal sensor is mainly used for self-localization. Assuming that the robot is running on the road, the position of the robot is estimated by associating the robot’s travel trajectory with the edge. In addition, node arrival determination is performed using branch point information obtained from the edge-node map. Because this system does not use map matching, robust self-localization is possible, even in a dynamic environment.

Navigation result using an edge-node map

Navigation result using an edge-node map

Cite this article as:
K. Takahashi, J. Arima, T. Hayata, Y. Nagai, N. Sugiura, R. Fukatsu, W. Yoshiuchi, and Y. Kuroda, “Development of Edge-Node Map Based Navigation System Without Requirement of Prior Sensor Data Collection,” J. Robot. Mechatron., Vol.32 No.6, pp. 1112-1120, 2020.
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