Intelligent vehicle beyond visual range sensing system and method based on vehicle-to-vehicle communication

Abstract

The invention discloses an intelligent vehicle over-the-horizon sensing system and method based on vehicle-to-vehicle communication, belongs to the technical field of vehicle over-the-horizon sensing, and solves the problem of high difficulty in acquiring remote sensing information by a driver. Wherein the vehicle unit is provided with a communication module, a positioning module, a radar module, an identification module, a conversion module, a control module and an illumination module. The vehicle distance data is converted into the character data, the character data is converted into the control instruction, the control instruction is converted into the lamplight, the multi-point lamplight is combined to form the specific character, the character is projected on the front mirror or the rearview mirror at the position where the vehicle is located, and when a driver observes other vehicles outside the vehicle in a straight pipe mode, the specific character is projected to the front mirror or the rearview mirror. Light data can be read at the same time, understanding of road conditions outside the vehicle is expanded, the road conditions are predicted, and road accidents are avoided.

Description

technical field [0001] The invention relates to the technical field of vehicle over-the-horizon perception, in particular to an intelligent vehicle over-the-horizon perception system and method based on vehicle-to-vehicle communication. Background technique [0002] At present, the automatic driving system is generally considered to be composed of a perception layer, a planning and decision-making layer, and a control execution layer. Among them, the perception layer obtains the environmental information around the vehicle through various sensors, such as millimeter wave radar, lidar and camera. When autonomous driving is applied to the planning level, long-distance planning needs to be carried out based on maps. In environments such as curves, tunnels, and bad weather, lane-level information and intersection guidance are provided based on maps, so that vehicles can complete beyond-the-horizon path planning in advance. , to find a more suitable driving route, where it is di...

AI Technical Summary

Problems solved by technology

However, the above-mentioned patents all have the following problems: neither the perception supplement nor the vehicle-ground tracking can be intuitively obtained by the driver. During the driving process, the driver himself needs to always pay attention to the vehicle dynamics near the periphery of the vehicle, especially at traffic intersections. , there are many vehicles, there are many intersection signs, and the additional information of the long-distance planning needs to be actively obtained by the driver, which will make it difficult for the driver to obtain information, and the road information is not comprehensively grasped. accidents are prone to occur frequently, and the driver sits in the cab of the vehicle, and there are major mistakes in the subjective analysis of the external road conditions. The distance between the vehicles is also roughly estimated, and the road dynamics cannot be accurately grasped, which makes the scope of safe driving small. Unable to perceive, predict and respond to remote accidents and potential dangers in advance, which also causes frequent accidents

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