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Open AccessArticle

Construction and Verification of a High-Precision Base Map for an Autonomous Vehicle Monitoring System

Korea Land and Geospatial Informatix Corporation, 163, Anjeon-ro, Iseo-myeon, Wanju-gun, Jeollabuk-do 55365, Korea
National Information Society Agency, 53, Cheomdan-ro, Dong-gu, Daegu 41068, Korea
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(11), 501;
Received: 20 September 2019 / Revised: 29 October 2019 / Accepted: 31 October 2019 / Published: 6 November 2019
For autonomous driving, a control system that supports precise road maps is required to monitor the operation status of autonomous vehicles in the research stage. Such a system is also required for research related to automobile engineering, sensors, and artificial intelligence. The design of Google Maps and other map services is limited to the provision of map support at 20 levels of high-resolution precision. An ideal map should include information on roads, autonomous vehicles, and Internet of Things (IOT) facilities that support autonomous driving. The aim of this study was to design a map suitable for the control of autonomous vehicles in Gyeonggi Province in Korea. This work was part of the project “Building a Testbed for Pilot Operations of Autonomous Vehicles”. The map design scheme was redesigned for an autonomous vehicle control system based on the “Easy Map” developed by the National Geography Center, which provides free design schema. In addition, a vector-based precision map, including roads, sidewalks, and road markings, was produced to provide content suitable for 20 levels. A hybrid map that combines the vector layer of the road and an unmanned aerial vehicle (UAV) orthographic map was designed to facilitate vehicle identification. A control system that can display vehicle and sensor information based on the designed map was developed, and an environment to monitor the operation of autonomous vehicles was established. Finally, the high-precision map was verified through an accuracy test and driving data from autonomous vehicles. View Full-Text
Keywords: high-precision map; schema design; autonomous vehicle high-precision map; schema design; autonomous vehicle
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Ham, S.; Im, J.; Kim, M.; Cho, K. Construction and Verification of a High-Precision Base Map for an Autonomous Vehicle Monitoring System. ISPRS Int. J. Geo-Inf. 2019, 8, 501.

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