Collision avoidance and minimization using an AI model
OwnerDavid E. Newman, R. Kemp Massengillinventors
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OwnerDavid E. Newman, R. Kemp Massengillinventors
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Human drivers generally cannot plan a collision evasion maneuver in the brief interval before impact, other than simply slamming on the brakes and hoping for the best. Often the collision could have been avoided by swerving or other sequence of actions. Therefore, improved collision avoidance and mitigation procedures are disclosed, based on a well-trained artificial intelligence (AI) model that takes over the accelerator, brake, and steering in an emergency. With fast electronic reflexes and AI-based computational power, the AI model can find a more effective avoidance maneuver, or at least an action that would minimize the harm (for example, by swerving to miss the passenger compartment). The AI model can then implement the sequence instantly, without fear or hesitation. The result—fewer collisions and less fatality on our highways.
A method for a first vehicle to detect and mitigate an imminent collision between the first vehicle and a second vehicle, the method comprising:
A processor in a first vehicle, the processor comprising an artificial intelligence (AI) model, the processor configured to perform the following steps:
A method for a first vehicle to detect and mitigate an imminent collision between the first vehicle and a second vehicle, the method comprising:
Dependencies are inferred from the claim text.