Automatic driving ramp access identification method and vehicle

Abstract

The invention, which belongs to the technical field of automatic driving, discloses an automatic driving ramp access identification method and a vehicle. The automatic driving ramp access identification method includes the following steps: acquiring position information of a vehicle on a highway; identifying an exit signboard at the right side of the highway under the circumstance of determining adistance between the vehicle and a ramp access which the vehicle is going to be driven out of to be discrimination distance; before a last exit signboard, comparing an identified exit serial number with an exit serial number which the vehicle is going to be driven out of every time of identification of one exit signboard; after identification of the last exit signboard, comparing the identified exit serial number with the exit serial number which the vehicle is going to be driven out of finally for determination and identifying a ramp access guiding line; and controlling the vehicle to be driven out of the highway through the ramp access guiding line and performing the automatic driving ramp access identification method by the vehicle. Therefore, the ramp access identification can be realized with low cost, so that the vehicle is controlled to be driven out of the highway through the access.

Description

Technical field [0001] The present invention relates to the technical field of automatic driving, and in particular to a method for identifying a ramp crossing for automatic driving and a vehicle. Background technique [0002] At this stage, the more practical application scenario of autonomous driving technology is structured roads-expressways. Driving out of the expressway through the ramp is a single technical point for autonomous vehicles. The difficulty lies in how to use multiple sensor fusion technologies to know and judge the location of the expressway ramp in advance, and to change lanes to exit the expressway in advance. [0003] Aiming at this single point of technology, the existing automatic driving control methods mainly fall into two categories: [0004] 1. Rely on the high-precision map collected by lidar for high-precision positioning, and obtain a priori geographic elements and precise location information from the map. However, due to the high cost of high-precis...

AI Technical Summary

Problems solved by technology

However, due to the high cost of high-precision map production and the need to occupy a large amount of local storage space, it is not conducive to the promotion and use of mass-produced models.

[0005] 2. Based on the method of lane line recognition and navigation map, this type of method is low in cost and easy to promote, but the stability and recognition rate of the system are low

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