The DARPA Urban Challenge: Autonomous Vehicles in City Traffic, George Air Force Base, Victorville, California, USA

By Martin Buehler, K. Iagnemma, Sanjiv Singh. 2009

668 citations recorded by the source corpus.

Subfields: Automotive Engineering, Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

In Control and Systems Engineering

Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “During DARPA Urban Challenge [7], held in 2007, many”
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (2016, methodology): “Six teams finished the event demonstrating that fully autonomous urban driving is possible [9].”
Vision-Based Offline-Online Perception Paradigm for Autonomous Driving (2015, background): “However, in recent autonomous driving attempts, as those in the DARPA Urban Challenge [6] and the demonstrators shown by Google Inc.”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “Most teams in DARPA Urban Challenge (DUC) adopted the finite state machine for their decision making, where the heuristics are used to trigger the action transitions [25], [30].”
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, background): “The project started following the DARPA Urban Challenge on the foundation of the winner [252].”
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments (2017, background): “A key challenge for vehicle platoons is to design control laws in which the vehicle platoon remains stable, for which significant theoretical and practical progress has been made [40, 41, 42, 43, 44, 45, 46, 47, 48].”
A Survey of Deep Learning Applications to Autonomous Vehicle Control (2019, background): “Since then, projects such as DARPA Grand Challenges [15], [16] have continued to drive forward research in autonomous vehicles.”
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).”
Design factor optimization of 3D flash lidar sensor based on geometrical model for automated vehicle and advanced driver assistance system applications (2017, background): “…DARPA Grand and Urban Challenges, numerous participants installed a lot of the scanning lidars in roofs, bumpers, and sides of vehicles and utilized the scanning lidars to interpret surrounding environments, detect lanes, and perceive various obstacles (Buehler et al., 2009; Thrun et al., 2006).”
Perception, Planning, Control, and Coordination for Autonomous Vehicles (2017, background): “Development was accelerated when several research teams later developed more advanced driverless vehicles to traverse desert terrain in the 2004 and 2005 DARPA Grand Challenges [9], and then urban roads in the 2007 DARPA Urban Challenge (DUC) [10].”
Flow: A Modular Learning Framework for Mixed Autonomy Traffic (2017, methodology): “Existing tools are largely limited to two commonly studied regimes: where AVs are few enough as to not affect the surrounding traffic dynamics [3], [4], [5], or so ubiquitous as to become a coordination problem [6], [7], [44].”
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets (2019, background): “Graph search is a classic approach to motion planning [24], and often used in urban driving applications [4].”
Autonomous agents modelling other agents: A comprehensive survey and open problems (2017, background): “For example, dialogue systems have to understand and disambiguate the intentions and plans of users [126,186]; intelligent tutor systems must reason about the knowledge and misconceptions of students to facilitate learning progress [190,16]; autonomous military and security systems must be able to r”