The 2005 DARPA Grand Challenge: The Great Robot Race

By Martin Buehler, K. Iagnemma, Sanjiv Singh. 2007

292 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

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In Computer Vision and Pattern Recognition

Citations in the corpus

Machine Learning that Matters (2012, background): “They diﬀer from existing challenges such as the DARPA Grand Challenge (Buehler et al., 2007), the Netﬂix Prize (Bennett & Lanning, 2007), and the Yahoo!”
A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “This time five teams managed to complete the off-road track without any human interference [6].”
A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning (2017, background): “Typically, autonomous driving systems are partitioned into hierarhical structures including perception, decision-making, motion planning and vehicle control (see [1], [2]).”
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (2016, methodology): “The next major milestone in driverless vehicle technology was the first DARPA Grand Challenge in 2004.”
The OpenGRASP benchmarking suite: An environment for the comparative analysis of grasping and dexterous manipulation (2011, background): “A small number of famous competitions is known for complete integrated robotic systems such as the DARPA Grand Challenges [3], the RoboCup soccer competition [4], or RoboCup@Home [5], a competitive scenario for service robots.”
Model based vehicle detection and tracking for autonomous urban driving (2009, background): “In 2005 autonomous vehicles were able to complete a 131 mile course in the desert (Buehler et al. 2007).”
Junior: The Stanford entry in the Urban Challenge (2008, background): “The first such event, the “DARPA Grand Challenge,” led to the development of vehicles that could confidently follow a desert trail at average velocities nearing 20mph [Buehler et al., 2006].”
The Measure of Intelligence (2019, unknown): “Benchmarks have often been most impactful in the context of a competition between different research teams, such as the ILSVRC challenge for large-scale image recognition (ImageNet) [22] or the DARPA Grand Challenge for autonomous driving [11].”
End-to-End Autonomous Driving: Challenges and Frontiers (2023, unknown): “This method requires evaluation datasets that include (1) sensor readings, (2) goal locations, and (3) corresponding future driving trajectories, usually obtained from human drivers.”
Robotic load balancing for mobility-on-demand systems (2012, background): “In the recent past, considerable efforts have been devoted to the problem of autonomous driving, and substantial progress has been made (see, for example, Buehler et al., 2007, 2009).”
Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems (2016, background): “In the area of autonomous driving [10] and humanoid robotics [2], the resulting insights have led to significant advances.”
Local Path Planning for Off-Road Autonomous Driving With Avoidance of Static Obstacles (2012, background): “The local path can then be generated in the local planning stage based on the global route and surrounding information of the vehicle obtained from sensors such as a camera and radar [2], [4]–[7].”
Path Planning for Autonomous Vehicles in Unknown Semi-structured Environments (2010, unknown): “We describe a practical path-planning algorithm for an autonomous vehicle operating in an unknown semi-structured (or unstructured) environment, where obstacles are detected online by the robot’s sensors.”