Importance

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Abstract

Modern collision-avoidance systems are capable of cooperating with other vehicles in an emergency, but only if the vehicle processors already know the locations and 5G/6G wireless addresses of the other at-risk vehicles. This is an unsolved problem. Therefore, methods are disclosed for a “planning” vehicle to solicit angle and distance measurements from each “cooperating” vehicle in proximity, and their wireless addresses. The planning vehicle can then process those measurements, determining the relative coordinates of each vehicle in view, and then broadcasting a results message with all the coordinates and, when known, wireless addresses. The vehicles can then quickly arrange coordinated evasions for collision avoidance. Optionally, an artificial intelligence model may process the angle and distance measurements, deriving the best-fit two-dimensional distribution. Optionally, the planning vehicle can determine its orientation and geographical coordinates, and then include the geographical coordinates of the other vehicles in the results message.

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First Claim