Vehicle information acquisition method for integrated perception of collision warning

Abstract

The invention provides a vehicle information acquisition method for integrated perception of collision warning. The vehicle information acquisition method comprises the steps: a communication perceiving module, a radar perceiving module and a visual sense perceiving module collect the vehicle information of other vehicles with the respective actuating range, and upload the vehicle information to an information confirmation module; the information confirmation module deletes the corresponding vehicle information of the vehicles which are not on the same road with the main vehicle; and the information confirmation module corrects the straight-line distance and the relative orientation information of the vehicle information of the vehicles on the same road with the main vehicle as the distance and orientation information in the road direction according to the road information. The vehicle information acquisition method for integrated perception of collision warning can realize complementation of advantages of three modes, communication, radar and visual perception and can give consideration to both the active and passive perception functions, thus being conductive to improvement of the integrated performance for acquisition of vehicle information and promoting development of advanced auxiliary driving and manless driving.

Description

technical field [0001] The invention relates to the technical field of unmanned driving, in particular to a vehicle information collection method for comprehensive perception collision warning. Background technique [0002] Accurately extracting the motion state information of surrounding vehicles is one of the key technologies for realizing advanced assisted driving and unmanned driving. Among them, the vehicle motion state information acquisition technology based on communication, vision, and radar perception are three effective basic methods. However, these three types of on-board electronic devices have some disadvantages, which restrict their wide application in the field of advanced assisted driving and driverless driving. The communication sensing method is not affected by weather, light, line-of-sight, installation location, etc., the working distance is long, and the measurement accuracy is between the other two methods. It is a necessary condition for the communic...

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Problems solved by technology

On the other hand, the radar method can get very high accuracy, especially at low speeds and short distances, it can still work effectively, but it is greatly affected by weather, light, and installation location. Under the condition of meeting the small size of the vehicle, the working distance is three the shortest of the ways

In addition, the working distance of the visual perception method is between the other two methods, the field of view is wider, the visualization is intuitive, and the interaction with people is good, but the measurement accuracy is the lowest, especially at low speeds, and it cannot work effectively. Weather, light, and installation location have the greatest impact

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