A perspective on emerging automotive safety applications, derived from lessons learned through participation in the DARPA grand challenges

Journal of Field Robotics

Volumn 25, Issue 10, 2008, Pages 808-840

  McBride, J R ^a   Ivan, J C ^a   Rhode, D S ^a   Rupp, J D ^a   Rupp, M Y ^a   Higgins, J D ^b   Turner, D D ^b   Eustice, R M ^c  

^a FORD MOTOR COMPANY   (United States)

^b DELPHI CORPORATION   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NAVIGATION; OPTICAL RADAR; SOFTWARE DESIGN; VEHICLES;

AUTOMOTIVE SAFETIES; AUTONOMOUS GROUND VEHICLES; GRAND CHALLENGES; HARDWARE AND SOFTWARE DESIGNS; INERTIAL NAVIGATIONS; LESSONS LEARNED; TECHNOLOGICAL CHALLENGES; TIME LINES;

MILITARY RADAR;

EID: 57649135121     PISSN: 15564959     EISSN: 15564967     Source Type: Journal    
DOI: 10.1002/rob.20264     Document Type: Article

References (12)

1. DARPA (2008). Various archived data and written accounts found on the Grand Challenge website, http://darpa.mil/grandchallenge.
2. Fischler, M., & Bolles, R. (1981). Random sample consensus: Aparadigm formodel fitting with application to image analysis and automated cartography. Communications of the ACM (Association for Computing Machinery), 24, 381-395.
3. Frost & Sullivan. (2005). Japanese passenger car and passive safety, systems markets, Report 4B79-18.
4. Intelligent Vehicle Safety Technologies. (2005a). Intelligent vehicle safety technologies 1 - Final technical report. Submitted by W. Klarquist & J. McBride, August 29, 2005, and archived at http:// www.darpa.mil/grandchallenge05/TechPapers/IVST.pdf.
5. Intelligent Vehicle Safety Technologies. (2005b). User manual, M. Rosenblum, November 11, 2005. Littleton, CO: PercepTek, Inc.
6. Intelligent Vehicle Systems (2006). Team proposal for the DARPA Urban Challenge, Proposal for BAA 06-36, submitted by Honeywell Laboratories, June 26, 2006.
7. Intelligent Vehicle Systems (2007a). DARPA Urban Challenge technical paper, submitted on behalf of the IVS Team by J. McBride, April 13, 2007, and archived at http://www.darpa.mil/grandchallenge/TechPapers/ Honeyell IVS.pdf.
8. Intelligent Vehicle Systems (2007b). DARPA Urban Challenge final report, submitted by J. McBride, December 22, 2007.
9. Leonard, J., How, J., Teller, S., Berger, M., Campbell, S., Fiore, G., Fletcher, L., Frazzoli, E.,Huang, A., Karaman, S., Koch, O., Kuwata, Y., Moore, D., Olson, E., Peters, S., Teo, J., Truax, R., Walter, M., Barrett, D., Epstein, A., Maheloni, K., Moyer, K., Jones, T., Buckley, R., Antone, M., Galejs, R., Krishnamurthy, S., & Williams, J. (2008). A perception-driven autonomous urban vehicle. Journal of Field Robotics, 25(10), 727-774.
10. NHTSA (National Highway Traffic Safety Administration, U.S. Department of Transportation). (2005). Traffic Safety Facts 2005, from http:// www-nrd.nhtsa.dot.gov/Pubs/TSF2005.PDF.
11. National Safety Council. (2004). Mortality classifications. http:// www.nsc.org/lrs/statinfo/odds.htm.
12. Volpe (2007). In Pre-crash scenario typology for crash avoidance research, Volpe National Transportation Systems Center, Project Memorandum, DOT-VNTSC-NHTSA-06-02, DOT HS 810 767, April 2007, http:// www-nrd.nhtsa.dot.gov/departments/nrd-12/pubsrev.html.