Method and device for operating autonomous vehicle

Abstract

The invention discloses a method and a device for operating an autonomous vehicle. According to one embodiment, the method comprises the following steps: collecting driving schemes adopted by a driver when the driver performs exception interfering on semi-autonomous vehicle and driving scene information of the semi-autonomous vehicle in driving scenes; determining the risk grades of driving risks of the semi-autonomous vehicle in the driving scenes according to the driving schemes adopted by the driver; decomposing object information of all scene objects in the driving scenes from the driving scene information; learning the object information and the corresponding risk grades, recognizing risk objects relevant to the risk grades in the scene objects, and determining the association relationship between the object information of the risk objects and the risk grades, so as to serve as a risk assessment strategy of the autonomous vehicle; recognizing the risk grade of the driving risk of the autonomous vehicle through the risk assessment strategy. The embodiment realizes the automatic recognition of the driving risk of the autonomous vehicle.

Description

technical field [0001] The present application relates to the field of vehicle technology, in particular to unmanned vehicle technology, and in particular to a method and device for operating an autonomous vehicle. Background technique [0002] Autonomous driving mainly involves three main technologies: recognition, decision-making, and control. For autonomous driving, safety is the first condition. In the prior art, manual methods are usually used to mark risky objects identified by on-board sensors, and further assess the risk of each object or establish a driving plan through repeated tests. [0003] However, relying entirely on manual labeling of risk factors is extremely costly. Moreover, in an open driving environment, the existing risk factors are difficult to be exhausted and manually marked by designers and manufacturers, so that the system can automatically identify them. In addition, even if all the current risk objects are pre-marked when the vehicle is design...

AI Technical Summary

Problems solved by technology

[0003] However, relying entirely on manual labeling of risk factors is extremely costly

Moreover, in an open driving environment, the existing risk factors are difficult to be exhausted and manually marked by designers and producers, so that the system can automatically identify them

In addition, even if all the current risk objects are pre-marked when the vehicle is designed or manufactured, after the vehicle is put into use, new things that may cause driving risks will continue to appear during the driving process of the vehicle, and the existing methods cannot timely detect these Labeling of new risk objects that continue to appear, and it is impossible to establish risk assessment strategies or driving strategies for these new risk objects in a timely manner

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