Method for verifying a digital map in a more highly automated vehicle, corresponding device and computer program

Abstract

The invention relates to a method for verifying a digital map in a more highly automated vehicle, in particular a highly automated vehicle, comprising the steps of: S1 providing a digital map, preferably a highly accurate digital map; S2 determining a current reference position and locating the reference position in the digital map; S3 determining at least one actual feature property of a featurein the environment of the reference position, wherein the determination is carried out using at least one information source; S4 comparing the actual feature property with a desired feature property of the feature and determining at least one difference value as the result of the comparison. The invention also relates to a corresponding device 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), in particular a highly automated vehicle, and a device for this purpose. 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, various possibilities for implementing a method for operating a highly automated vehicle (HAF) are d...

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

For example, a video camera is limited in that it can only record objects that are not obscured by other objects at the moment of recording or cannot be made unrecognizable by light

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