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http://dx.doi.org/10.11108/kagis.2020.23.3.132

A Comparison of Korea Standard HD Map for Actual Driving Support of Autonomous Vehicles and Analysis of Application Layers  

WON, Sang-Yeon (Geo& Co., Ltd)
JEON, Young-Jae (Geo& Co., Ltd)
JEONG, Hyun-Woo (Geo& Co., Ltd)
KWON, Chan-Oh (Geo& Co., Ltd)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.23, no.3, 2020 , pp. 132-145 More about this Journal
Abstract
By coming of the 4th industrial revolution era, HD map have became a key infrastructure for determining precise location of autonomous driving in areas of futuristic cars, logistics and robots. Autonomous vehicles have became more dependent on HD map to determine the exact location of objects detected by various sensors such as LiDAR, GNSS, Radar, and stereo cameras as well as self-location decisions. By actualizing autonomous driving and C-ITS technologies, the demand for precise information on HD map have increased. And also the demand for the creation of new information based on the convergence of various changes and real-time information have increased. In this study, domestic and international HD map standards and related environments have analyzed. Based on this, usability has researched which comparison with standard HD map established by various institutions. Additionally, usability of standard HD map have studied for applying actual autonomous vehicles by reworking HD map. By the result of study, standard HD map have well established to use by various institutions. If further research about layer classification and definition by institutions will carried out based on this study, it has expected that and efficient establishment and renewal of HD map will take place.
Keywords
LDM; Autonomous vehicles; HD map; C-ITS;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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