METHOD AND ELECTRONIC MONITORING SYSTEM FOR IDENTIFYING A DETRIMENTAL TRAFFIC SITUATION

1 . A method for determining an adverse traffic situation of a road user, the method comprising:

acquiring first position information indicating a first position of the road user and first uncertainty information indicating a first position detection uncertainty of the road user;

acquiring second position information for ascertaining a second position of a second road user and second uncertainty information indicating a second position detection uncertainty of the second road user,

converting the first uncertainty information into a first covariance matrix for describing a first location-dependent probability of presence of the first road user in connection with a first position of the road user,

converting the second uncertainty information road user into a second covariance matrix for describing a second location-dependent probability of presence of the second road user in connection with a second position of the second road user; and

determining the presence of an adverse traffic situation between the road user and the second road user based on the first covariance matrix and the second covariance matrix.

2 . The method as claimed in claim 1 , wherein the determining comprises performing, a location-dependent superimposition of the probabilities of presence of the first road user and of the second road user.

3 . The method as claimed in claim 1 , wherein the determining comprises performing a matrix operation of, comprising the first covariance matrix and the second covariance matrix.

4 . The method as claimed in claim 1 , wherein the determining comprises performing a linear combination of the first covariance matrix and the second covariance matrix or an addition or subtraction of the first covariance matrix and the second covariance matrix.

5 . The method as claimed in claim 1 , wherein the determining comprises applying correlation assumptions of position detection uncertainty of the road user and position detection uncertainty of the second road user.

6 . The method as claimed in claim 1 , wherein the determining comprises:

determining a risk area describing an area impaired for the road user determined; and

assessing location-dependent superimposition of the probabilities of presence of the first road user and the second road user within the risk area, described by the first covariance matrix and the second covariance matrix.

7 . The method as claimed in claim 6 , wherein the risk area corresponds to a detection area of a surroundings detection device of the road user.

8 . The method as claimed in claim 7 , here comprising determining a scalar probability value using the location-dependent superimposition of the probabilities of presence of the road user and the second road user within the risk area.

9 . The method as claimed claim 8 , further comprising determining the scalar probability value by way of univariate conditioning.

10 . The method as claimed in claim 9 , wherein the determining comprises determining the presence of the adverse traffic situation between the figs road user and the second road user if the scalar probability value is equal to or greater than a predefined threshold value.

11 . The method as claimed in claim 10 , further comprising outputting a control signal to a human-machine interface, an electronic control device of a driver assistance function and/or an automated driving control function based on presence of the adverse traffic situation.

12 . (canceled)

13 . (canceled)