MAPPING SEARCH ENGINE OFFERING SIDEWALK MAPS
Disclosed are a method and a system of a mapping search engine offering sidewalk maps, according to one embodiment. In one embodiment, a method of a sidewalk mapping server includes calculating a slope angle of a sidewalk transitioning into a street in at least one of a start location and an end location of the sidewalk in a neighborhood area and determining a transition characteristic of the sidewalk transitioning into the street. The transition characteristic is at least one of a grade-down transition, a grade-up transition, and a gradual transition in at least one of the start location and the end location of the sidewalk in the neighborhood area. A sidewalk map of a neighborhood is generated based on a calculation of the slope angle of the sidewalk transitioning into the street and a determination of the transition characteristic of the sidewalk transitioning into the street.
1 . A method of a sidewalk mapping server comprising:
calculating a slope angle of a sidewalk transitioning into a street in at least one of a start location and an end location of the sidewalk in a neighborhood area;
determining a transition characteristic of the sidewalk transitioning into the street, wherein the transition characteristic is at least one of a grade-down transition, a grade-up transition, and a gradual transition in at least one of the start location and the end location of the sidewalk in the neighborhood area; and
generating a sidewalk map of a neighborhood based on a calculation of the slope angle of the sidewalk transitioning into the street and a determination of the transition characteristic of the sidewalk transitioning into the street.
2 . The method of claim 1 further comprising:
determining the start location and the end location of the sidewalk in the neighborhood area; and
sensing whether at least one of a yield sign, a stop sign, a street light, a pedestrian, a vehicle, and an obstruction exists when the sidewalk transitions to the street using a sensor,
wherein the sensor is at least one of an ultrasound sensor, a radar sensor, a laser sensor, an optical sensor, and a mixed signal sensor.
3 . The method of claim 2 further comprising:
optically determining a first color of the sidewalk and a second color of the street; and
sensing whether at least one of the pedestrian, the vehicle, and the obstruction exists in the sidewalk using the sensor.
4 . The method of claim 3 further comprising:
permitting autonomous vehicles to utilize the sidewalk map when planning autonomous routes through the neighborhood area; and
creating an initial sidewalk path based on a sensing technology to detect obstacles in the neighborhood area, wherein the neighborhood area is in at least one of an urban neighborhood setting, a rural setting, and a suburban neighborhood setting.
5 . The method of claim 4 further comprising:
refining the initial sidewalk path to create an updated sidewalk path based on a feedback received from other autonomous vehicles traveling the initial sidewalk path encountering obstacles; and
automatically updating the initial sidewalk path based on the updated sidewalk path.
6 . The method of claim 5 further comprising:
calculating an estimated sidewalk time from a starting location to an ending location of an autonomous vehicle requesting to traverse locations on the sidewalk map; and
determining a congestion between the starting location and the ending location based on the feedback received from autonomous vehicles traveling the initial path encountering delays,
wherein encountered obstacles and encountered delays are determined based on at least one sensor of a traversing autonomous vehicle, comprising any of the ultrasound sensor, a radio frequency sensor, the laser sensor, the radar sensor, the optical sensor, a stereo optical sensor, and a LIDAR sensor.
7 . The method of claim 6 further comprising:
publishing the sidewalk map through at least one of a computing device and a mobile device to a plurality of searching users of a map-sharing community; and
permitting a user to track the traversing autonomous vehicle while in route through a sidewalk map view of at least one of the computing device and the mobile device, wherein the sidewalk map view describe a visual representation of at least one of the first color of the sidewalk and a topology of the sidewalk.
8 . A method of a sidewalk mapping server comprising:
determining a start location and an end location of a sidewalk in a neighborhood area;
determining a transition characteristic of the sidewalk transitioning into a street, wherein the transition characteristic is at least one of a grade-down transition, a grade-up transition, and a gradual transition in at least one of the start location and the end location of the sidewalk in the neighborhood area; and
generating a sidewalk map of a neighborhood based on a slope angle of the sidewalk transitioning into the street and a determination of the transition characteristic of the sidewalk transitioning into the street.
9 . The method of claim 8 further comprising:
calculating the slope angle of the sidewalk transitioning into the street in at least one of the start location and the end location of the sidewalk in the neighborhood area;
sensing whether at least one of a yield sign, a stop sign, a street light, a pedestrian, a vehicle, and an obstruction exists when the sidewalk transitions to the street using a sensor,
wherein the sensor is at least one of an ultrasound sensor, a radar sensor, a laser sensor, an optical sensor, and a mixed signal sensor.
10 . The method of claim 9 further comprising:
optically determining a first color of the sidewalk and a second color of the street; and
sensing whether at least one of the pedestrian, the vehicle, and the obstruction exists in the sidewalk using the sensor.
11 . The method of claim 10 further comprising:
permitting autonomous vehicles to utilize the sidewalk map when planning autonomous routes through the neighborhood area; and
creating an initial sidewalk path based on a sensing technology to detect obstacles in the neighborhood area, wherein the neighborhood area is in at least one of an urban neighborhood setting, a rural setting, and a suburban neighborhood setting.
12 . The method of claim 11 further comprising:
refining the initial sidewalk path to create an updated sidewalk path based on a feedback received from other autonomous vehicles traveling the initial sidewalk path encountering obstacles; and
automatically updating the initial sidewalk path based on the updated sidewalk path.
13 . The method of claim 12 further comprising:
calculating an estimated sidewalk time from a starting location to an ending location of an autonomous vehicle requesting to traverse locations on the sidewalk map; and
determining a congestion between the starting location and the ending location based on the feedback received from autonomous vehicles traveling the initial sidewalk path encountering delays,
wherein encountered obstacles and encountered delays are determined based on at least one sensor of a traversing autonomous vehicle, comprising any of the ultrasound sensor, a radio frequency sensor, the laser sensor, the radar sensor, the optical sensor, a stereo optical sensor, and a LIDAR sensor.
14 . The method of claim 13 further comprising:
publishing the sidewalk map through at least one of a computing device and a mobile device to a plurality of searching users of a map-sharing community; and
permitting a user to track the traversing autonomous vehicle while in route through a sidewalk map view of at least one of the computing device and the mobile device, wherein the sidewalk map view describe a visual representation of at least one of the first color of the sidewalk and a topology of the sidewalk.
15 . A system comprising:
a sidewalk mapping server to:
calculate a slope angle of a sidewalk transitioning into a street in at least one of a start location and an end location of the sidewalk in a neighborhood area;
determine a transition characteristic of the sidewalk transitioning into the street, wherein the transition characteristic is at least one of a grade-down transition, a grade-up transition, and a gradual transition in at least one of the start location and the end location of the sidewalk in the neighborhood area; and
generate a sidewalk map of a neighborhood based on a calculation of the slope angle of the sidewalk transitioning into the street and a determination of the transition characteristic of the sidewalk transitioning into the street.
16 . The system of claim 15 further comprising:
a location algorithm to determine the start location and the end location of the sidewalk in the neighborhood area; and
an transition obstruction algorithm to sense whether at least one of a yield sign, a stop sign, a street light, a pedestrian, a vehicle, and an obstruction exists when the sidewalk transitions to the street using a sensor,
wherein the sensor is at least one of an ultrasound sensor, a radar sensor, a laser sensor, an optical sensor, and a mixed signal sensor.
17 . The system of claim 16 further comprising:
a color algorithm to optically determine a first color of the sidewalk and a second color of the street;
a sidewalk obstruction algorithm to sense whether at least one of the pedestrian, the vehicle, and the obstruction exists in the sidewalk using the sensor;
a permission algorithm to permit autonomous vehicles to utilize the sidewalk map when planning autonomous routes through the neighborhood area; and
a creation algorithm to create an initial sidewalk path based on a sensing technology to detect obstacles in the neighborhood area, wherein the neighborhood area is in at least one of an urban neighborhood setting, a rural setting, and a suburban neighborhood setting.
18 . The system of claim 17 further comprising:
a refining algorithm to refine the initial sidewalk path to create an updated sidewalk path based on a feedback received from other autonomous vehicles traveling the initial sidewalk path encountering obstacles; and
an update algorithm to automatically update the initial sidewalk path based on the updated sidewalk path.
19 . The system of claim 18 further comprising:
an estimation algorithm to calculate an estimated sidewalk time from a starting location to an ending location of an autonomous vehicle requesting to traverse locations on the sidewalk map; and
a congestion algorithm to determine a congestion between the starting location and the ending location based on the feedback received from autonomous vehicles traveling the initial sidewalk path encountering delays,
wherein encountered obstacles and encountered delays are determined based on at least one sensor of a traversing autonomous vehicle, comprising any of the ultrasound sensor, a radio frequency sensor, the laser sensor, the radar sensor, the optical sensor, a stereo optical sensor, and a LIDAR sensor.
20 . The system of claim 19 further comprising:
a publishing algorithm to publish the sidewalk map through at least one of a computing device and a mobile device to a plurality of searching users of a map-sharing community; and
a tracking algorithm to permit a user to track the traversing autonomous vehicle while in route through a sidewalk map view of at least one of the computing device and the mobile device, wherein the sidewalk map view describe a visual representation of at least one of the first color of the sidewalk and a topology of the sidewalk.