ADAS High-Precision Road Database using MMS

In this study, the authors have reported the results of their conducted study regarding the creation of high-precision and compact data of road database (DB) for the Advanced Driver Assistance Systems (ADAS) by utilizing 3D spatial information acquired through Mobile Mapping System - High-Precision GPS Mobile Measurement System (MMS). Since built-in vehicle sensors to capture the vehicle's environment are limited to a relatively short range, the available digital map data can be used as a virtual sensor to look more forward on the path of the vehicle. In recent years, MMS receives much attention as a system measuring spatial information of road surroundings. MMS enables to efficiently collect detailed 3D geometries from the roads on which the vehicle runs. The objective of this study is to develop a high-precision road DB, easily convertible to an in-vehicle data to assist the safe driving and eco-drive by extracting curvature/slope profile, lane level information and high-precision landmark information from the vast amount of MMS point cloud data. This DB contains Road Section ID which enables to build connections with various road maps and make easier to understand the partial updating and facilitate the monitoring and management activities.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 3324.
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Yoon, Sukjo
  • Ota, Toshio
  • Nishimura, Osamu
  • Imanishi, Akihisa
  • Mano, Kouji
  • Kanba, Motoki
  • Adachi, Kenji
  • Yonezawa, Masanori
  • Ichikawa, Ryuhei
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: 11p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Databases; Digital mapping; Driver support systems; Global Positioning System; Highway safety; Sustainable transportation
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control;

Filing Info

• Accession Number: 01538680
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Sep 26 2014 2:24PM