V2X-based vehicle-vehicle collision detection method and application system

Abstract

The invention discloses a V2X-based vehicle-vehicle collision detection method and application system. The application system comprises a data interaction module (1), a coordinate transformation and projection module (2), a safety distance calculation module (3), and a collision risk detection module (4). The data interaction module is used for realizing message parsing and packaging of automotivemotion state original data and a V2V communication message set. The coordinate transformation and projection module is used for realizing conversion from a geocentric geodetic coordinate system to aGaussian plane coordinate system based on a vehicle carrier. The safety distance calculation module is used for calculating an estimated automotive motion distance and an automotive plane vertex coordinate and realizing collision risk prediction by introducing a safety distance parameter. And the collision risk detection module is used for determining whether coverage areas between every two automobiles are overlapped to realize collision detection. According to the invention, the V2X-based vehicle-vehicle collision detection method and application system are based on the BSM automobile basicsafety attribute message of V2V communication broadcasting. The automobile body size parameters are introduced to realize accurate automobile body edge calculation, thereby improving the collision detection accuracy and realizing collision detection.

Description

[0001] 【Technical field】 [0002] The invention relates to the technical field of vehicle collision detection for traffic safety, in particular to a V2X-based vehicle collision detection method and application system. [0003] 【Background technique】 [0004] Vehicle-to-vehicle communication-based target detection and state awareness in the V2X Internet of Vehicles environment, vehicle-to-vehicle collision risk detection is an important means to assist drivers and improve driving safety. The Internet of Vehicles environment ensures high-frequency, low-latency, and data accuracy of vehicle-to-vehicle communication, and supports real-time transmission of vehicle motion status and static configuration information. However, based on information transmission, how to realize accurate and multi-dimensional vehicle target detection and state perception is a current problem. On the one hand, due to the lack of complete vehicle static data (such as body size), on the other hand, there is...

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Problems solved by technology

[0007] In view of this, in order to overcome the deficiencies of the prior art, the present invention provides a vehicle-to-vehicle collision detection method and application system based on V2X. Aiming at the problem of insufficient vehicle target detection dimensions in the Internet of Vehicles environment, a two-dimensional numerical model of the vehicle coverage area is established. , to accurately predict the relative position between two vehicles, and to solve the problem of inaccurate collision detection, a vertex ray and plane edge intersection method is proposed to accurately determine vehicle collision

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