Browsing by Subject "Obstacle detection"
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Item ALX : Autonomous Vehicle Guidance for Roadway Following and Obstacle Avoidance(Minnesota Department of Transportation, 1996-10) Du, Yu-feng; Schiller, William; Krantz, Don; Shankwitz, Craig; Donath, MaxThis report presents results of the research performed on the Autonomous Land Experimental Vehicle (ALX) at the University of Minnesota. ALX autonomously follows roadways through the use of visual perception, and executes obstacle detection and collision avoidance through the use of ultrasonic sonar range sensors. This report describes the ALX embedded real-time control system based on a multi-processor, multi-tasking architecture, and presents algorithms used for visual perception, path tracking, position estimation, obstacle detection, and collision avoidance. Computer simulation and experimental results also are presented.Item Collision Avoidance: Smart Trucks on Rural Roads(Minnesota Department of Transportation, 1995-03) Shankwitz, Craig; Donath, MaxWith interest in collision avoidance technology for highway vehicles on the rise, this report presents an overview of current collision avoidance technology, the technical work required to bring these systems to a commercially viable product, and the societal issues that need addressing before wide-scale deployment can occur. Many questions remain about the benefits of deploying such systems, the costs, the effect of these systems on drivers, and the steps necessary to effectively regulate vehicles equipped with such systems. In addition to technical aspects, the report also discusses the issues that society will face during development and deployment of these systems, which may prove bigger impediments to deployment than technical issues. The report also recommends a research plan to perform fair, unbiased evaluations of emerging collision avoidance technology.