Journal of Field Robotics · 2008 · 253 citations · 10 references
ComputingAutonomous SystemsRobotics EngineeringAutonomous VehiclesPath PlanningRoboticsAutonomous NavigationCollision AvoidanceObstacle AvoidanceObstacle DetectionRobot Motion PlanningVehicle PerceptionAutonomous Vehicle Path PlanningEscapeGlobal Positioning SystemLaser ScannersMotion Planning With Obstacle AvoidancePath Planning For Collision AvoidanceSafe NavigationVehicle Path Planning
The DARPA Urban Challenge demanded autonomous vehicles to navigate over 90 km of urban terrain without human control, including stop intersections, traffic merges, parking, and roadblocks. VictorTango’s Odin system combined a Ford Escape base vehicle with drive‑by‑wire, laser scanners, GPS, and a priori maps for perception, and employed a hybrid deliberative/reactive planner communicating via the JAUS standard. The team achieved a successful run, finishing third in the competition. © 2008 Wiley Periodicals, Inc.
Abstract The DARPA Urban Challenge required robotic vehicles to travel more than 90 km through an urban environment without human intervention and included situations such as stop intersections, traffic merges, parking, and roadblocks. Team VictorTango separated the problem into three parts: base vehicle, perception, and planning. A Ford Escape outfitted with a custom drive‐by‐wire system and computers formed the basis for Odin. Perception used laser scanners, global positioning system, and a priori knowledge to identify obstacles, cars, and roads. Planning relied on a hybrid deliberative/reactive architecture to analyze the situation, select the appropriate behavior, and plan a safe path. All vehicle modules communicated using the JAUS (Joint Architecture for Unmanned Systems) standard. The performance of these components in the Urban Challenge is discussed and successes noted. The result of VictorTango's work was successful completion of the Urban Challenge and a third‐place finish. © 2008 Wiley Periodicals, Inc.
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