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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
NHTSA Website – Press Releases. http://www.nhtsa.gov/About+NHTSA/Press+Releases/U.S.+Department+of+Transportation+Releases+Policy+on+Automated+Vehicle+Development. Accessed 8 Oct 2014
Milford M, Vig E, Scheirer W, Cox D (2014) Vision-based simultaneous localization and mapping in changing outdoor environments. J Field Robot 31(5)
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 Mag
Auto News http://www.autonews.com/article/20141117/OEM06/311179997/heres-looking-at-you—in-3-d. Accessed 17 Nov 2014
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)
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
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)
Gallen et al (2015) Nighttime visibility analysis and estimation method in the presence of dense fog. IEEE Trans ITS 16(1)
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
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#
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
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
Bigthink, Car Sensors Monitor Drivers for Distraction, Tiredness. http://bigthink.com/ideafeed/new-car-sensors-monitor-drivers-for-distraction-tiredness, 2015
Gizmag, smrtGRiPS could smarten up your handlebars. http://www.gizmag.com/smrtgrips-smart-handlebar-grips/35571/. Accessed 12 Jan 2015
Gizmag, CarVi brings modern driver assist technology to older cars. http://www.gizmag.com/carvi-driver-assist-retrofit/35985/. Accessed 8 Feb 2015
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Yousuf, M., Dailey, D.J., Sundararajan, S., Kandarpa, R. (2016). Enabling Technologies for Vehicle Automation. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 3. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-40503-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-40503-2_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-40502-5
Online ISBN: 978-3-319-40503-2
eBook Packages: EngineeringEngineering (R0)