Target vehicle extraction method, target vehicle extraction system and target vehicle extraction equipment

Abstract

The invention discloses a target vehicle extraction method, a target vehicle extraction system and target vehicle extraction equipment. A positioning module, a central processing unit, a digital map, a communication module and a vehicular information acquisition module are installed on a vehicle, and the positioning module, the digital map, the V2X communication module and the vehicular information acquisition module are connected with the central processing unit. Each target vehicle is provided with a positioning module, a vehicular information acquisition module and a communication module, wherein the positioning module and the vehicular information acquisition module are connected with the communication module. Valid target vehicles are screened out according to position information, motion state information and historical route information of the vehicle and the target vehicles, road information of the vehicle and road information of the target vehicles. By filtering of a great quantity of invalid targets to realize extraction of the valid target vehicles, data processing quantity of a cooperative type driving assistance system and an automatic driving system can be decreased, and false alarm rate and misoperation rate can be decreased while algorithm complexity can be lowered.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, and in particular relates to a target vehicle extraction method, system and equipment. Background technique [0002] At present, the V2X technology that realizes vehicle-to-vehicle communication has gradually matured, and the cooperative driving assistance system and automatic driving system developed using V2X technology are undergoing large-scale verification. Since the communication methods DSRC and LTE-V that realize V2X technology can reach a distance of 1500m, a large amount of information from other vehicles within the communication range will be received during the driving of the vehicle. If all information is processed, a large number of processors will be consumed Resources make the system processing algorithm too complex, especially in the urban traffic environment where congestion often occurs. At the same time, due to the complex composition of the current road ne...

AI Technical Summary

Problems solved by technology

Since the communication methods DSRC and LTE-V that realize V2X technology can reach a distance of 1500m, a large amount of information from other vehicles within the communication range will be received during the driving of the vehicle. If all information is processed, a large number of processors will be consumed resources, resulting in too complex system processing algorithms, especially in the urban traffic environment where congestion often occurs

At the same time, due to the complex composition of the current road network of cities and expressways, it often happens that the cooperative driving assistance system gives false alarms to vehicles that are not on the same road as the vehicle, or even misoperates, such as being perpendicular to the road that the vehicle is driving but not on the same road. If there is a target car on the overpass on the same plane, the intersection collision scene will be triggered by mistake

Images