Method and device for identifying terrain on which vehicle is located and vehicle

Abstract

The invention provides a method and device for identifying the terrain on which a vehicle is located and the vehicle. The method comprises the steps that a first driving parameter group of the vehiclerunning on the current terrain is acquired, wherein the first driving parameter group comprises at least one driving parameter of steering wheel turning angle, steering wheel angular rate, longitudinal acceleration, lateral acceleration and yaw rate; according to the first driving parameter group and a number of terrain recognition interval sets respectively corresponding to different terrains, the terrain category probability of the current terrain belonging to each terrain in different terrains is determined; and according to the terrain category probability of the current terrain belongingto each terrain in different terrains, the terrain to which the current terrain belongs is determined. The method provided by the invention can identify the terrain on which the vehicle is located bycalculating and processing the driving parameters related to vehicle components and vehicle behaviors and accurately classifying the terrains on which the vehicle may be located, wherein the drivingparameters are collected during the running of the vehicle.

Description

technical field [0001] The present disclosure relates to the technical field of automatic driving, and in particular to a method, a device and a vehicle for recognizing a terrain where a vehicle is located. Background technique [0002] With the rise of artificial intelligence technology, more and more car manufacturers have set up automatic driving functions in their vehicles. Among them, the terrain-based automatic driving device is used to select different automatic driving strategies according to the current terrain or weather environment of the vehicle. . In the prior art, terrain-based automatic driving devices generally use non-contact sensors, such as visual sensors, to collect terrain-related image information, and then classify the corresponding terrain by extracting the color and texture in these image information and identification. However, the image information collected by the visual sensor is easily affected by external environmental factors, such as light ...

AI Technical Summary

Problems solved by technology

However, the image information collected by the visual sensor is easily affected by external environmental factors, such as light conditions and climate, resulting in inaccurate terrain classification and recognition

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