Method for verifying a digital map of a more highly automated vehicle (HAF), in particular of a highly automated vehicle

Abstract

The invention relates to a method for verifying a digital map of a more highly automated vehicle (HAF), in particular of a highly automated vehicle, comprising the steps of: S1 providing a digital map, preferably a highly accurate digital map, in a driver assistance system of the HAF; S2 determining a present vehicle position and locating the vehicle position in the digital map; S3 providing at least one setpoint feature property of at least one feature in an environment of the HAF; S4 detecting at least one actual feature property of a feature in the environment of the HAF at least in part onthe basis of the setpoint feature property, the detecting being performed by means of at least one sensor; S5 comparing the actual feature property with the setpoint feature property and ascertainingat least one difference value as the result of the comparison; S6 verifying the digital map at least in part on the basis of the difference value, the digital map being classified as not up-to-date if the difference value reaches or exceeds a stipulated threshold value for a disparity and being classified as up-to-date if the difference value remains below the stipulated threshold value for the disparity. The invention further relates to a corresponding system and to a computer program.

Description

technical field [0001] The invention relates to a method for validating a digital map of a highly automated vehicle (HAF), especially a highly automated vehicle, and a method for controlling a highly automated vehicle (HAF), especially a highly automated vehicle Driver Assistance Systems. Background technique [0002] Given the increasing automation of vehicles, increasingly sophisticated driver assistance systems are used. For such driver assistance systems and functions, for example in highly or fully automated driving, a large number of sensors are required in the vehicle which enable precise detection of the vehicle environment. [0003] In the following, "higher degree of automation" is understood as meaning all degrees of automation which in the sense of the German Federal Highway Institute (BASt) correspond to automated longitudinal and lateral guidance with greater system responsibility - e.g. Automated and fully automated driving. [0004] In the prior art, vario...

AI Technical Summary

Problems solved by technology

In order to improve the localization of highly automated vehicles (HAF) in digital maps, it is necessary to be able to ensure the accuracy of the digital maps, wherein here the following problem arises: in the digital maps it is not possible or only incompletely to take into account, for example due to Short-term route changes caused by construction sites, accidents or other types of situations, or occur so short-term that highly automated vehicles (HAF), especially highly automated vehicles, cannot grasp these short-term changes quickly enough and must Handing control of the vehicle back to the driver

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