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Use dynamic vehicle models to determin safety probability.
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Motorcycles; overtaking
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adaptive control
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accident prevention
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Automation, Bicycles, Control systems, Manuals, Motorcycles, Timing,
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Trajectory, Planning, Roads, Vehicle dynamics, Collision avoidance,
Lead, Autonomous vehicles, Trajectory planning,
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Trajectory, Optimal control, Roads, Quadratic programming,
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Optimization, Planning, Trajectory, Land vehicles,
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Autonomous vehicles, Planning, Vehicle dynamics, Target tracking,
Heuristic algorithms, Protocols, Dynamics, Motion planning,
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automated driving and intelligent vehicles,
autonomous driving, decision-making, optimal control,
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2410
Connected vehicles, Vehicle-to-everything, Roads, Safety, Indexes,
Sensors, Adaptation models, ITS, V2X, OBUs, state prediction,
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2410
Vehicles, Accidents, Roads, Behavioral sciences, Safety, Surveys,
Pedestrians, Autonomous automobiles, behavioral sciences, traffic control
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Flannagan, C.[Carol],
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When Is It Safe to Complete an Overtaking Maneuver? Modeling Drivers'
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2411
Vehicles, Roads, Safety, Automobiles, Probabilistic logic,
Predictive models, Accidents, Ethics, Bayes methods, Reviews, survival model
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1611
Prevent overtaking accidents.
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0706
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Application of optical flow for automated overtaking control,
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0403
BibRef
Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Parking Assistance, Automatic Parking .