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Enabling Technologies for Vehicle Automation

  • Mohammed YousufEmail author
  • Daniel J. Dailey
  • Sudharson Sundararajan
  • Ram Kandarpa
Chapter
Part of the Lecture Notes in Mobility book series (LNMOB)

Abstract

Vehicle automation relies heavily on technologies such as sensing, wireless communications, localization, mapping, human factors, and several others. Applications planned within the USDOT’s automation research roadmap depend on the understanding and applicability of these technologies. Thus it is important to be aware of the state of these technologies, and more importantly to stay ahead of the curve. The value of this task is not in accurately predicting the future of these technologies for USDOT’s automation program, but to minimize surprises. A four step process was followed to better understand advances in positioning, navigation and timing (PNT), mapping, communications, sensing and human factors. The first step identified the needs, second tracked high-level trends and based on these findings, the third step identified gaps. Finally, these insights were used to develop potential next steps for USDOT consideration. Paper presents a high-level overview of the research process, findings from the study and insights on next steps.

Keywords

Automated vehicles Enabling technologies Localization Mapping Self-driving vehicles Sensing Human factors 

Notes

Acknowledgments

The authors gratefully acknowledge the input of the panel speakers and participants during the special session of Enabling Technologies for Vehicle Automation as part of the 2015 Automated Vehicles Symposium. The authors are also grateful to the researchers involved in this study (Sara Sarkhili, Mahsa Ettefagh, Ismail Zohdy, Shawn Kimmel, and Patrick Chuang from Booz Allen Hamilton; and Mike Brown from Southwest Research Institute).

References

  1. 1.
  2. 2.
    Milford M, Vig E, Scheirer W, Cox D (2014) Vision-based simultaneous localization and mapping in changing outdoor environments. J Field Robot 31(5)Google Scholar
  3. 3.
    Avdhut J, James MR (2015) Toyota research institute, North America, generation of accurate lane-level maps from coarse prior maps and lidar. IEEE Intell Transp Syst MagGoogle Scholar
  4. 4.
  5. 5.
    Li H, Tsukada M, Nashashibi F, Parent M (2014) Multivehicle cooperative local mapping: a methodology based on occupancy grid map merging. IEEE Trans Intell Transport Syst 15(5)Google Scholar
  6. 6.
    ITS International: Drivers want semi-autonomous safety features. http://www.itsinternational.com/categories/location-based-systems/news/drivers-want-semi-autonomous-safety-features/. Accessed 7 Nov 2014
  7. 7.
    Feroz MGI, Jada C, Kumar R, Yenala H (2015) Map based representation of navigation information for robust machines learning. Sign Process Commun Eng Syst (SPACES)Google Scholar
  8. 8.
    Gallen et al (2015) Nighttime visibility analysis and estimation method in the presence of dense fog. IEEE Trans ITS 16(1)Google Scholar
  9. 9.
    Driving: Volvo wants to eliminate car crashes using the Internet. http://driving.ca/volvo/auto-news/news/volvo-wants-to-eliminate-car-crashes-with-the-internet. Accessed 7 Jan 2015
  10. 10.
    Qualcomm: Qualcomm Drives Future of Automotive Connectivity with New 4G LTE Modems. https://www.qualcomm.com/news/releases/2015/03/02/qualcomm-drives-future-automotive-connectivity-new-4g-lte-modems#
  11. 11.
    Forbes, Can Panasonic’s ‘e-Cockpit’ make you a better driver? http://www.forbes.com/sites/joannmuller/2014/12/24/video-see-how-panasonic-wants-to-make-you-a-better-driver/#1dfd42a7715a. Accessed 24 Dec 2014
  12. 12.
    ITS International: TRL’s DigiCar driving simulator becomes fully automated. http://www.itsinternational.com/categories/location-based-systems/news/trls-digicar-driving-simulator-becomes-fully-automated/. Accessed 18 Nov 2014
  13. 13.
    Bigthink, Car Sensors Monitor Drivers for Distraction, Tiredness. http://bigthink.com/ideafeed/new-car-sensors-monitor-drivers-for-distraction-tiredness, 2015
  14. 14.
    Gizmag, smrtGRiPS could smarten up your handlebars. http://www.gizmag.com/smrtgrips-smart-handlebar-grips/35571/. Accessed 12 Jan 2015
  15. 15.
    Gizmag, CarVi brings modern driver assist technology to older cars. http://www.gizmag.com/carvi-driver-assist-retrofit/35985/. Accessed 8 Feb 2015

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Mohammed Yousuf
    • 1
    Email author
  • Daniel J. Dailey
    • 1
  • Sudharson Sundararajan
    • 2
  • Ram Kandarpa
    • 2
  1. 1.Turner-Fairbank Highway Research CenterMcleanUSA
  2. 2.Booz Allen Hamilton Inc.Washington D.C.USA

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