Method and system for detecting a lane
A method detects a lane for a transverse guidance of a vehicle. The transverse guidance of the vehicle is based on a roadway model. The method has the steps of ascertaining one or more features which are suitable for influencing the detection of the lane; detecting a lane on the basis of a sensor system of the vehicle; and ascertaining the roadway model on the basis of the detected lane and the ascertained one or more features. The method optionally has the steps of additionally receiving navigation data and transversely guiding the vehicle on the basis of the ascertained roadway model.
1. A method for detecting a lane for transverse guidance of a vehicle, wherein the transverse guidance of the vehicle is based on a road model, the method comprising:
determining one or more features, wherein
the one or more features are suitable for influencing a detection of the lane;
detecting a lane based on a sensor system of the vehicle;
determining the road model based on the detected lane and the determined one or more features; and
determining a weighting of one or more elements of the lane that are detected by the sensor system of the vehicle, wherein the road model is also determined based on the determined weighting.
2. The method according to claim 1 , further comprising:
receiving navigation data, wherein the one or more features are determined based on the navigation data.
3. The method according to claim 2 , wherein the navigation data comprise one or more of:
map data;
data based on collective driving behavior of a multiplicity of vehicles; or
data based on a detection of road signs.
4. The method according to claim 3 , wherein
the map data is Advanced Driver Assistance Systems data, and
the data based on a detection of road signs is based on an optical detection of road signs.
5. The method according to claim 1 , wherein
if the one or more features indicate presence of a widening or narrowing on a road section being used by the vehicle, and the widening or narrowing relates to a lane that is beginning or ending, determining the road model comprises:
weighting elements present on a side of the lane that is remote from the beginning or ending lane using a first factor; and
weighting elements present on a side of the lane that faces the beginning or ending lane using a second factor; wherein
the first factor indicates a higher weighting than the second factor.
6. The method according to claim 5 , wherein
the first and second factors are configured to optionally indicate a weighting in a range from 0% to 100%.
7. The method according to claim 6 , wherein the first factor indicates a weighting of 100% and wherein the second factor indicates a weighting of 0%.
8. The method according to claim 1 , further comprising:
transversely guiding the vehicle based on the determined road model.
9. A method for detecting a lane for transverse guidance of a vehicle, wherein the transverse guidance of the vehicle is based on a road model, the method comprising:
determining one or more features, wherein
the one or more features are suitable for influencing a detection of the lane;
detecting a lane based on a sensor system of the vehicle; and
determining the road model based on the detected lane and the determined one or more features, wherein
if the one or more features indicate presence of an entry or exit on a road section being used by the vehicle, determining the road model comprises:
weighting elements present on a side of the lane that is remote from the entry or exit using a first factor; and
weighting elements present on a side of the lane that faces the entry or exit using a second factor; wherein the first factor indicates a higher weighting than the second factor.
10. The method according to claim 9 , wherein
if the one or more features indicate presence of a widening or narrowing on a road section being used by the vehicle, and the widening or narrowing relates to a lane that is beginning or ending, determining the road model comprises:
weighting elements present on a side of the lane that is remote from the beginning or ending lane using a first factor; and
weighting elements present on a side of the lane that faces the beginning or ending lane using a second factor; wherein
the first factor indicates a higher weighting than the second factor.
11. The method according to claim 9 , wherein
the first and second factors are configured to optionally indicate a weighting in a range from 0% to 100%.
12. The method according to claim 11 , wherein the first factor indicates a weighting of 100% and wherein the second factor indicates a weighting of 0%.
13. A system for detecting a lane for transverse guidance of a vehicle, comprising:
a control unit, wherein the control unit is configured to:
determine one or more features, wherein the one or more features are suitable for influencing a detection of the lane;
detect a lane based on a sensor system of the vehicle;
determine a road model based on the detected lane and the determined one or more features; and
determine a weighting of one or more elements of the lane that are detected by the sensor system of the vehicle, wherein the road model is also determined based on the determined weighting.
14. A vehicle comprising: the system according to claim 13 , wherein the control unit is further configured to carry out:
semiautonomous or autonomous control of the vehicle, and
transverse guidance of the vehicle.