Information processing method and related device

Abstract

The embodiment of the invention provides an information processing method and a related device, which can be applied to the field of automatic driving, unmanned driving or intelligent driving. The device comprises an obtaining module used for obtaining at least two of lane line information corresponding to a lane where a first vehicle is located, vehicle posture information of the first vehicle, road edge information, target vehicle information or map information; a processing module used for controlling the first vehicle to execute processing corresponding to a lane changing behavior according to at least two of the lane line information, the vehicle posture information, the road edge information, the target vehicle information and the map information, wherein the lane changing behavior is determined according to at least one piece of lane changing identification information and at least one confidence coefficient probability corresponding to the at least one piece of lane changing identification information. By adopting the embodiment of the invention, the lane changing behavior of the first vehicle can be more accurately determined, a corresponding coping strategy or alarm mechanism is started, and the safety guarantee is improved.

Description

technical field [0001] The present application relates to the technical field of sensors, in particular to an information processing method and related devices. Background technique [0002] With the development of advanced driver-assistance system (advanced driver-assistance system, ADAS) technology and the advancement of autonomous driving (AD) perception technology, some intelligent driving algorithms that rely on sensory data such as cameras, radars, and lidars, Such as lane change warning (LCW), lane keeping assist (lane keeping assist, LKA), etc., it is necessary to predict and judge the driver's lane change intention in a timely and accurate manner, and after successfully identifying the lane change intention, activate the Corresponding coping strategies or warning mechanisms. According to survey data, when about 50% of lane changes occur, the driver does not turn on the turn signal as required. The identification and judgment of the driver's intention to change lan...

AI Technical Summary

Problems solved by technology

Due to the different advantages and disadvantages of different sensors, environmental factors such as rain and fog, complex road conditions, and different lane-changing styles of drivers, it is difficult to guarantee a high recognition accuracy with traditional lane-changing intention recognition methods.

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