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The 2005 DARPA Grand Challenge – The Great Robot Race
Abstract
The DARPA Grand Challenge was a landmark in the field of robotics: a race by autonomous vehicles through 132 miles of rough, cross-country Nevada terrain that showcased exciting and unprecedented capabilities in robotic perception, navigation, and control. The event took place in October 2005, and drew teams of competitors from academia and industry, and many garage hobbyists. This book presents fifteen technical papers that are written at a level that makes them easily accessible to a broad technical audience, describing the technology behind most of the robotic vehicles that participated in this famous race. The papers describe each team's driverless vehicle, race strategy, and insights. As a whole, they present the state of the art in autonomous vehicle technology, and offer a glimpse of future technology for tomorrows driverless cars. This book will serve as an authoritative, archival source for the DARPA Grand Challenge and a must have for robotics students and researchers, since it describes the state of the art in perception, planning and control.
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Cited by
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889
“This time five teams managed to complete the off-road track without any human interference [6].”
BackgroundAutonomous vehicle perception: The technology of today and tomorrow
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.02.012 · Cited by 869
Optimization‐based autonomous racing of 1:43 scale RC cars
Liniger, A., Domahidi, A., & Morari, M. (2015) · Optimal Control Applications and Methods · doi:10.1002/oca.2123 · Cited by 537
Model based vehicle detection and tracking for autonomous urban driving
Petrovskaya, A., & Thrun, S. (2009) · Autonomous Robots · doi:10.1007/s10514-009-9115-1 · Cited by 430
Robotic load balancing for mobility-on-demand systems
Pavone, M., Smith, S. L., Frazzoli, E., & Rus, D. (2012) · The International Journal of Robotics Research · doi:10.1177/0278364912444766 · Cited by 287
Metadata
- Venue
- Industrial Robot: An International Journal
- Publisher
- Emerald
- Published
- 2008-10-17
- Volume
- 35
- Issue
- 6
- ISSN
- 0143-991X (ISSN-L)
- OpenAlex
- W102190310
- Cited by
- 198
- References
- 0
- FWCI
- 26.28
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
