Using mapped elevation to determine navigational parameters
A system for navigating a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, images representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the images to identify features within the environment of the host vehicle. The at least one processing device may also be programmed to: obtain map data corresponding to the environment of the host vehicle, the map data comprising information of the features. The at least one processing device may also be programmed to match the features identified from the images with information of the features within the environment, obtained from the map data; and localize a position of the host vehicle within a roadway using the matched features and elevation information associated with the roadway.
1. At least one non-transitory machine-readable storage medium comprising instructions,
which when executed by processor circuitry of a computing device, cause the processor circuitry to perform operations to:
obtain images representative of an environment of a host vehicle;
identify, from the images, features within the environment of the host vehicle, the features including a plurality of landmarks located on or adjacent to a roadway;
obtain map data corresponding to the environment of the host vehicle, the map data comprising information of the features within the environment which represents the plurality of landmarks;
match the plurality of landmarks identified from the images with the information of the features obtained from the map data which represents the plurality of landmarks; and
localize a position of the host vehicle within the roadway using the matched plurality of landmarks and elevation information associated with the roadway.
2. The machine-readable storage medium of claim 1 , wherein the information of the features obtained from the map data comprises a polynomial representation for each feature.
3. The machine-readable storage medium of claim 1 , wherein the matched plurality of landmarks are used to localize the host vehicle within a segment of the roadway.
4. The machine-readable storage medium of claim 1 , wherein the matched plurality of landmarks comprise at least one of: lane markings, traffic signs, traffic lights, poles, or roadway objects.
5. The machine-readable storage medium of claim 1 , wherein localization of the position of the host vehicle is used for causing a planned driving action in the host vehicle.
6. The machine-readable storage medium of claim 1 , wherein the images are captured by a multi-camera system of the host vehicle, and wherein each camera of the multi-camera system has a different field of view of the environment.
7. The machine-readable storage medium of claim 1 , the instructions further to cause the processor circuitry to obtain additional sensor data from a sensor device of the host vehicle, wherein the features of the environment of the host vehicle are further identified based on the additional sensor data.
8. The machine-readable storage medium of claim 7 , wherein the sensor device includes at least one of a LIDAR system or a RADAR system, and wherein the additional sensor data includes data from the at least one of the LIDAR system or the RADAR system.
9. A computing device, comprising:
at least one interface to receive image data from at least one image capture device, the image data representative of an environment surrounding a host vehicle; and
at least one processor configured to perform operations to:
identify, from the image data, features within the environment of the host vehicle, the features including a plurality of landmarks located on or adjacent to a roadway;
obtain map data corresponding to the environment of the host vehicle, the map data comprising information of the features within the environment which represents the plurality of landmarks;
match the plurality of landmarks identified from the image data with the information of the features obtained from the map data which represents the plurality of landmarks; and
localize a position of the host vehicle within the roadway using the matched plurality of landmarks and elevation information associated with the roadway.
10. The computing device of claim 9 , wherein the information of the features obtained from the map data comprises a polynomial representation for each feature.
11. The computing device of claim 9 , wherein the matched features plurality of landmarks are used to localize the host vehicle within a segment of the roadway.
12. The computing device of claim 9 , wherein the matched plurality of landmarks comprise at least one of:
lane markings, traffic signs, traffic lights, poles, or roadway objects.
13. The computing device of claim 9 , wherein localization of the position of the host vehicle is used for implementing a planned driving action in the host vehicle.
14. The computing device of claim 9 , wherein the image data is captured by a multi-camera system of the host vehicle, and wherein each camera of the multi-camera system has a different field of view of the environment.
15. The computing device of claim 9 , the at least one interface further to obtain additional sensor data from a sensor device of the host vehicle, wherein the features of the environment of the host vehicle are further identified based on the additional sensor data.
16. The computing device of claim 15 , wherein the sensor device includes at least one of a LIDAR system or a RADAR system, and wherein the additional sensor data includes data from the at least one of the LIDAR system or the RADAR system.