Abstract: The invention relates to a traffic flow machine-learning modeling system and method applied to vehicles. The system includes: a target fusion module configured to perform target fusion on radar measurement data and camera measurement data, and output target attribute information; a lane line model module configured to output an original lane line model based on the camera measurement data; a target selection module configured to determine a position of a lane where each target is located based on the target attribute information output by the target fusion module and the original lane line model output by the lane line model module, and output the target; and a traffic flow calculation module configured to model the vehicle position by using a clustering algorithm based on the output of the target fusion module, the output of the target selection module, and the output of the lane line model module, and output a traffic flow-based lane line model.

Abstract: The invention relates to a method for building a road model. The method includes: building a lane line pool, the lane line pool including one or more historical lane lines; updating the lane line pool based on matching between a current lane line and the one or more historical lane lines in the lane line pool; and performing lane matching on all lane lines in the updated lane line pool, so as to build the road model. The invention further relates to a device for building a road model, a computer storage medium, and a vehicle.

Abstract: The invention relates to a traffic flow machine-learning modeling system and method applied to vehicles. The system includes: a target fusion module configured to perform target fusion on radar measurement data and camera measurement data, and output target attribute information; a lane line model module configured to output an original lane line model based on the camera measurement data; a target selection module configured to determine a position of a lane where each target is located based on the target attribute information output by the target fusion module and the original lane line model output by the lane line model module, and output the target; and a traffic flow calculation module configured to model the vehicle position by using a clustering algorithm based on the output of the target fusion module, the output of the target selection module, and the output of the lane line model module, and output a traffic flow-based lane line model.

Abstract: The invention relates to a method for building a road model. The method includes: building a lane line pool, the lane line pool including one or more historical lane lines; updating the lane line pool based on matching between a current lane line and the one or more historical lane lines in the lane line pool; and performing lane matching on all lane lines in the updated lane line pool, so as to build the road model. The invention further relates to a device for building a road model, a computer storage medium, and a vehicle.