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Applications of Road Edge Information for Advanced Driver Assistance Systems and Autonomous Driving

  • Toshiharu SugawaraEmail author
  • Heiko Altmannshofer
  • Shinji Kakegawa
Conference paper
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

As road edge information gives various benefits to ADAS (Advanced Driver Assistance Systems) and AD (Autonomous Driving) applications, we have developed a road edge detection algorithm with stereo camera. In this paper, two ADAS/AD applications using road edge information, validated by simulation and experiment, are introduced to show benefits of the method. An integrated lateral assist system including LDP (Load Departure Prevention system) and RDP (Road Departure Prevention system), which assumes lane support system in Euro NCAP, is proposed as an ADAS application. Also, “obstacle avoidance through road shoulder space” is introduced as an application for AD.

Keywords

Stereo camera ADAS AD Euro NCAP LDP RDP Obstacle avoidance 

References

  1. Dolgov D, Thrun S, Montemerlo M, Diebel J (2008) Practical search techniques in path planning for autonomous driving. In: Proceedings of the First International Symposium on Search Techniques in Artificial Intelligence and Robotics, June 2008Google Scholar
  2. Howard MT, Green JC, Kelly A, Ferguson D (2008) State space sampling of feasible motions for high-performance mobile robot navigation in complex environments. J Field RobotGoogle Scholar
  3. Kakegawa S, Sugawara T (2016) Road edge detection using dynamic programming with application to free space computation. In: 25th Aachen Colloquium Automobile and Engine Technology, p 1395–1418Google Scholar
  4. Kuwata Y, Fiore G, Frazzoli E (2009) Real-time motion planning with applications to autonomous urban driving. IEEE Trans Control Syst Technol 17(5) (September)Google Scholar
  5. Lattke B, Eckert A, et al (2015) Road departure protection-a means for increasing driving safety beyond road limits. In: 24th Enhanced Safety of Vehicles Conference 2015, vol 1, p 722–735Google Scholar
  6. McNaughton M, Urmson C, Dolan J, Lee J (2011) Motion planning for autonomous driving with a conformal spatiotemporal lattice. In: IEEE International Conference on Robotics and Automation (ICRA)Google Scholar
  7. Montemerlo M, Becker J et al Junior (2008) The stanford entry in the Urban challenge. J Field RobotGoogle Scholar
  8. Nakada Y, Ota R, Kojima T, Takuya N (2011) Development of virtual lane guide. In: First International Symposium on Future Active Safety Technology toward Zero-Traffic-AccidentGoogle Scholar
  9. Williams A (2017) Euro NCAP 2018 5-Star Requirements: Asta Zero Testers’DayGoogle Scholar
  10. Yamamura T (2008) Driver Assist System Considerations, First Human Factors Symposium: Naturalistic Driving Methods & AnalysesGoogle Scholar
  11. Yokoyama A, Saito S (2009) Development of the motorized direct yaw-moment control system: application to a lane-keep assist system(in Japanese). Int J Autom Eng JpnGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Toshiharu Sugawara
    • 1
    Email author
  • Heiko Altmannshofer
    • 1
  • Shinji Kakegawa
    • 2
  1. 1.Automotive and Industry LaboratoryHitachi Europe GmbHSchwaig-OberdingGermany
  2. 2.Centre of Technology Innovation, Smart System Research DepartmentHitachi, Ltd.Hitachi-Shi, IbarakiJapan

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