Rapid, automatic, AI-based collision avoidance and mitigation preliminary

Non-transitory computer-readable media, in a processor of a first vehicle, the non-transitory computer-readable media comprising an artificial intelligence (AI) model and instructions that, when executed by a computing environment, cause a method to be performed, the method comprising:

• a) providing, as input to the AI model, sensor data from sensors on or in the first vehicle, the sensor data comprising measurements about a second vehicle proximate to the first vehicle;
• b) determining, as output from the AI model, that a collision between the first vehicle and the second vehicle is imminent;
• c) determining, as further output from the AI model, a prediction whether the collision is avoidable or unavoidable, wherein a collision is avoidable if the collision can be avoided by the first vehicle performing a sequence of actions, each action comprising an interval of braking, accelerating, or steering, and is unavoidable otherwise;
• d) when the collision is avoidable, determining, as further output from the AI model, a “collision-avoidance” sequence of actions that is predicted to avoid the collision;
• and
• e) when the collision is unavoidable, determining, as further output from the AI model, a “harm-minimization” sequence of actions that is predicted to minimize harm of the collision, and steering, by the AI model or the processor, the first vehicle, so that a point of contact between the first vehicle and the second vehicle misses a passenger compartment of the first vehicle, and steering, by the AI model or the processor, the first vehicle so that the point of contact between the first vehicle and the second vehicle misses a passenger compartment of the second vehicle.