A Study of Precise Road Feature Localization using Mobile Mapping System

Kiichiro Ishikawa, Yoshiharu Amano, Takumi Hashizume, Jun Ichi Takiguchi

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Citations (Scopus)

    Abstract

    In the near future, precise digital map data is said to be applied to the next generation car navigation system as well as ITS to increase the driving safety. It is important to maintain digital map data's freshness and accuracy. A MMS (Mobile Mapping System) can acquire this highway database, while offering unbeatable productivity with the combination of navigation and videogrammetry tools. The proposed MMS, featuring a GPS/DR combined navigation system, a GPS-Gyro/IMU, nearly horizontal cameras, laser scanners, high sampling rate road data measurement logger, and the network-based RTK-GPS PASTM can acquire road feature location like snow-poles, guard-rails, road signs and road line precisely at normal cruising speed considering 3D road surface model. The carrier phased D-GPS/DR combined navigation system and GPS-Gyro/IMU performs highly accurate positioning performance at a few centimeter and posture estimation at 0.073 [deg rms] for heading and 0.064 [deg rms] for pitching, and 0.116 [deg rms] for rolling. Furthermore, the proposed road feature digitizing method, featuring 2D camera image projection to the 3D road surface model, allows users to understand complicated 3D point-cloud data intuitively and to designate desired road feature with few mistakes. The accuracy comparison between the static RTK-GPS/Total-Station measurement with the dynamic MMS mobile measurement reveal that the system allows 0.3 [m] road feature measurement accuracy with unbeatable productivity when sufficient GPS visibility is obtained.

    Original languageEnglish
    Title of host publicationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
    DOIs
    Publication statusPublished - 2007
    Event2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM - Zurich
    Duration: 2007 Sep 42007 Sep 7

    Other

    Other2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
    CityZurich
    Period07/9/407/9/7

    Fingerprint

    Global positioning system
    Navigation systems
    Guard rails
    Productivity
    Cameras
    Snow
    Visibility
    Poles
    Navigation
    Railroad cars
    Sampling
    Lasers

    Keywords

    • FKP
    • GPS-Gyro/IMU
    • Mobile mapping system
    • Point-cloud data

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Ishikawa, K., Amano, Y., Hashizume, T., & Takiguchi, J. I. (2007). A Study of Precise Road Feature Localization using Mobile Mapping System. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM [4412541] https://doi.org/10.1109/AIM.2007.4412541

    A Study of Precise Road Feature Localization using Mobile Mapping System. / Ishikawa, Kiichiro; Amano, Yoshiharu; Hashizume, Takumi; Takiguchi, Jun Ichi.

    IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007. 4412541.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Ishikawa, K, Amano, Y, Hashizume, T & Takiguchi, JI 2007, A Study of Precise Road Feature Localization using Mobile Mapping System. in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM., 4412541, 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, 07/9/4. https://doi.org/10.1109/AIM.2007.4412541
    Ishikawa K, Amano Y, Hashizume T, Takiguchi JI. A Study of Precise Road Feature Localization using Mobile Mapping System. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007. 4412541 https://doi.org/10.1109/AIM.2007.4412541
    Ishikawa, Kiichiro ; Amano, Yoshiharu ; Hashizume, Takumi ; Takiguchi, Jun Ichi. / A Study of Precise Road Feature Localization using Mobile Mapping System. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007.
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