Generating turn-by-turn direction previews
Aspects of the present disclosure relate to generating turn-by-turn direction previews. In one aspect, one or more computing devices, may receive a request for a turn-by-turn direction preview. The one or more computing devices may generate a set of turn-by-turn directions based on a series of road segments connecting a first geographic location and a second geographic location. Each direction in the set of turn-by-turn directions may be associated with a corresponding waypoint. The one or more computing devices then identify a set of images corresponding the series of road segments between two adjacent waypoints of the set of turn-by-turn directions, and determine a subset of the set of images to include in the turn-by-turn direction preview. Subsequently, the one or more computing devices may generate the turn-by-turn direction preview based on at least in part on the determined subset of the set of images.
1. A method for generating turn-by-turn direction previews, comprising:
storing, using one or more computing devices, one or more predetermined distance intervals;
receiving, after storing the one or more predetermined distance intervals, using the one or more computing devices, a request for a turn-by-turn direction preview between a first geographic location and a second geographic location;
generating, using the one or more computing devices, a set of turn-by-turn directions based on a series of road segments between the first geographic location and the second geographic location, each road segment of the series being defined by two waypoints along a route between the first geographic location and the second geographic location and portions of roadway between the two waypoints;
identifying, using the one or more computing devices, a set of images for each road segment of the series;
identifying, using the one or more computing devices, one or more distinguishing points between the two waypoints;
selecting, using the one or more computing devices, images in the set of images including any of the one or more distinguishing points;
filtering the selected images, using the one or more computing devices, to include only images at one or more predetermined distance intervals along each of the road segments regardless of a number of images in the selected images; and
generating, using the one or more computing devices, the turn-by-turn direction preview based on at least in part on selected filtered images.
2. The method of claim 1 , wherein selecting the images includes filtering images from the set of images.
3. The method of claim 1 , wherein one of the one or more distinguishing points corresponds to a transition between a first type of roadway to a second type of roadway, the first type being different from the second type.
4. The method of claim 3 , wherein the first type is a road, and the second type is a bridge.
5. The method of claim 3 , wherein the first type is a road, and the second type is a tunnel.
6. The method of claim 3 , wherein the first type is a local road, and the second type is a highway.
7. The method of claim 1 , wherein one of the one or more distinguishing points is a landmark.
8. The method of claim 7 , wherein identifying the one or more distinguishing points is based on visitation data.
9. The method of claim 7 , wherein identifying the one or more distinguishing points is based on metadata associated with images associated with the set of images.
10. The method of claim 7 , wherein identifying the one or more distinguishing points is based on a number of images of the distinguishing point.
11. A system for generating turn-by-turn direction previews, the comprising:
one or more computing devices configured to:
store one or more predetermined distance intervals;
receive after storing the one or more predetermined distance intervals, a request for a turn-by-turn direction preview between a first geographic location and a second geographic location;
generate a set of turn-by-turn directions based on a series of road segments between the first geographic location and the second geographic location, each road segment of the series being defined by two waypoints along a route between the first geographic location and the second geographic location and portions of roadway between the two waypoints;
identify a set of images for each road segment of the series;
identify one or more distinguishing points between the two waypoints;
selecting images in the set of images including any of the one or more distinguishing points;
filter the selected images to include only images at one of the one or more predetermined distance intervals along each of the road segments regardless of a number of images in the selected images; and
generate the turn-by-turn direction preview based on at least in part on selected filtered images.
12. The system of claim 11 , wherein selecting the images includes filtering images from the set of images.
13. The system of claim 11 , wherein one of the one or more distinguishing points corresponds to a transition between a first type of roadway to a second type of roadway, the first type being different from the second type.
14. The system of claim 13 , wherein the first type is a road, and the second type is a bridge.
15. The system of claim 13 , wherein the first type is a road, and the second type is a tunnel.
16. The system of claim 13 , wherein the first type is a local road, and the second type is a highway.
17. The system of claim 11 , wherein one of the one or more distinguishing points is a landmark.
18. The system of claim 17 , wherein identifying the one or more distinguishing points is based on visitation data.
19. The system of claim 17 , wherein identifying the one or more distinguishing points is based on metadata associated with images associated with the set of images.
20. The system of claim 17 , wherein identifying the one or more distinguishing points is based on a number of images of the distinguishing point.