Vehicle matching method and apparatus, device, storage medium, and computer program product

A computer device comprising:

• one or more memories storing computer-readable instructions;
• and
• one or more processors configured to execute the computer-readable instructions to:
• obtain floating vehicle data of a target vehicle, the floating vehicle data being collected frame by frame by a positioning device at the target vehicle, and the floating vehicle data including a geographic location of the target vehicle;
• determine, based on a current geographic location at a current frame moment, a candidate geographic region covering the current geographic location;
• obtain candidate vehicle sensing data of at least one candidate vehicle in the candidate geographic region, the candidate vehicle sensing data being collected frame by frame by a sensing device located in the candidate geographic region;
• for each of the at least one candidate vehicle:
• calculate a relative location error degree between the target vehicle and the candidate vehicle based on the floating vehicle data at the current frame moment and the candidate vehicle sensing data at the current frame moment;
• and
• calculate a matching confidence between the target vehicle and the candidate vehicle at the current frame moment based on the relative location error degree between the target vehicle and the candidate vehicle at the current frame moment;
• and
• select, from the at least one candidate vehicle, a matching candidate vehicle that successfully matches the target vehicle at the current frame moment, the relative location error degree of the matching candidate vehicle satisfying an error-degree threshold condition, and the matching confidence of the matching candidate vehicle satisfying a confidence threshold condition.

A non-transitory computer-readable storage medium storing computer-readable instructions that, when executed by one or more processors, cause the one or more processors to:

• obtain floating vehicle data of a target vehicle, the floating vehicle data being collected frame by frame by a positioning device at the target vehicle, and the floating vehicle data including a geographic location of the target vehicle;
• determine, based on a current geographic location at a current frame moment, a candidate geographic region covering the current geographic location;
• obtain candidate vehicle sensing data of at least one candidate vehicle in the candidate geographic region, the candidate vehicle sensing data being collected frame by frame by a sensing device located in the candidate geographic region;
• for each of the at least one candidate vehicle:
• calculate a relative location error degree between the target vehicle and the candidate vehicle based on the floating vehicle data at the current frame moment and the candidate vehicle sensing data at the current frame moment;
• and
• calculate a matching confidence between the target vehicle and the candidate vehicle at the current frame moment based on the relative location error degree between the target vehicle and the candidate vehicle at the current frame moment;
• and
• select, from the at least one candidate vehicle, a matching candidate vehicle that successfully matches the target vehicle at the current frame moment, the relative location error degree of the matching candidate vehicle satisfying an error-degree threshold condition, and the matching confidence of the matching candidate vehicle satisfying a confidence threshold condition.