Autonomous Evasive Maneuver Planning for Accident Avoidance

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University:Carnegie Mellon University
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Funding Source(s) and Amounts Provided (by each agency or organization):$99,911
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Project Status:Complete
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Abstract:Driver safety is aided by multiple driver assist systems in modern cars, such as anti-lock braking and lane departure warning systems. The prevention or amelioration of a certain class of accidents is dependent on rapid situation assessment and resultant highly responsive evasive maneuver. Increasingly capable sensors are improving situation awareness. However, current driving planners/controllers for autonomous cars fail to generate a safe plan, particularly in emergency situations. The main reason is that such planners are designed to produce comfortable trajectories for human passengers under normal driving conditions. This project aims to detect conditions under which potentially high-performance evasive maneuver is necessary to avoid collision, and to invoke a special planner/controller evasive maneuver mode in order to react safely to such conditions.
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