Enhanced destination information for rideshare service
Abstract
The present disclosure provides a method comprising receiving a ride request from a user having a user profile, the ride request including a requested drop-off location within a service area and the user profile specifying at least one drop-off location preference parameter; querying a database to obtain data regarding a condition of the requested drop-off location, wherein the data is collected by a plurality of vehicles traversing the service area and equipped with at least one sensor and at least one imaging device; determining whether the obtained data satisfies the at least one drop-off location preference parameter; and determining at least one alternative drop-off location within a first distance from the requested drop-off location if the obtained data does not satisfy the at least one drop-off location preference parameter.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A method comprising:
accumulating data collected by a plurality of vehicles traversing a service area, wherein the data comprises at least one of sensor data and image data generated by equipment associated with the vehicles; time stamping and location tagging the accumulated data; post-processing the data to determine additional information concerning a location with which the data is associated; and storing the data and the additional information in a database; wherein in response to receipt of a ride request from a user having a user profile, the ride request including a requested drop-off location within the service area and the user profile specifying at least one drop-off location preference parameter, the database is queried to obtain a portion of the data concerning the requested drop-off location and a determination is made whether the obtained portion of the data satisfies the at least one drop-off location preference parameter.
22 . The method of claim 21 , wherein if the obtained portion of the data does not satisfy the at least one drop-off location preference parameter, at least one alternative drop-off location within a first distance from the requested drop-off location is determined and suggested to the user.
23 . The method of claim 21 , wherein the equipment associated with the vehicles comprises at least one of a camera, a light detection and ranging (LIDAR) sensor, and a radio detection and ranging (RADAR) sensor.
24 . The method of claim 21 , wherein the at least one drop-off location preference parameter indicates a user preference with regard to at least one of a current noise level at the drop-off location, a current pedestrian density level at the drop-off location, current weather conditions at the drop-off location, current visibility at the drop-off location, and current lighting conditions at the drop-off location.
25 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is dependent on at least one of time of day, time of week, and time of year.
26 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is dependent on a geographic location of the service area.
27 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is dependent on a number of passengers.
28 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is learned over time.
29 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is set by the user.
30 . The method of claim 21 , wherein a preference expressed by the at least one drop-off location preference parameter is based on demographic information regarding the user.
31 . One or more non-transitory computer-readable storage media comprising instruction for execution which, when executed by a processor, result in operations comprising:
accumulating data collected by a plurality of vehicles traversing a service area, wherein the data comprises at least one of sensor data and image data generated by equipment associated with the vehicles; time stamping and location tagging the accumulated data; post-processing the data to determine additional information concerning a location with which the data is associated; and storing the data and the additional information in a database; wherein in response to receipt of a ride request from a user having a user profile, the ride request including a requested drop-off location within the service area and the user profile specifying at least one drop-off location preference parameter, the database is queried to obtain a portion of the data concerning the requested drop-off location and a determination is made whether the obtained portion of the data satisfies the at least one drop-off location preference parameter.
32 . The one or more non-transitory computer-readable storage media of claim 31 , wherein the operations further comprise, if the obtained portion of the data does not satisfy the at least one drop-off location preference parameter:
determining at least one alternative drop-off location within a first distance from the requested drop-off location; and suggesting the at least one alternative drop-off location to the user.
33 . The one or more non-transitory computer-readable storage media of claim 31 , wherein the at least one drop-off location preference parameter indicates a user preference with regard to at least one of a current noise level at the drop-off location, a current pedestrian density level at the drop-off location, current weather conditions at the drop-off location, current visibility at the drop-off location, and current lighting conditions at the drop-off location.
34 . The one or more non-transitory computer-readable storage media of claim 31 , wherein a preference expressed by the at least one drop-off location preference parameter is dependent on at least one of time of day, time of week, and time of year.
35 . The one or more non-transitory computer-readable storage media of claim 31 , wherein a preference expressed by the at least one drop-off location preference parameter is dependent on a geographic location of the service area.
36 . A system comprising:
a remote system for accumulating data collected by a plurality of vehicles traversing a service area, wherein the data comprises at least one of sensor data and image data generated by equipment associated with the vehicles, the remote system further:
time stamping and location tagging the accumulated data; and
post-processing the data to determine additional information concerning a location with which the data is associated; and
a database connected to the remote system for storing the data and the additional information; wherein in response to receipt of a ride request from a user having a user profile, the ride request including a requested drop-off location within the service area and the user profile specifying at least one drop-off location preference parameter, the remote system queries the database to obtain a portion of the data concerning the requested drop-off location and determine whether the obtained portion of the data satisfies the at least one drop-off location preference parameter.
37 . The system of claim 36 , wherein if the obtained portion of the data does not satisfy the at least one drop-off location preference parameter, the remote system determines at least one alternative drop-off location within a first distance from the requested drop-off location and suggests the at least one alternative drop-off location to the user.
38 . The system of claim 36 , wherein the equipment associated with the vehicles comprises at least one of a camera, a light detection and ranging (LIDAR) sensor, and a radio detection and ranging (RADAR) sensor.
39 . The system of claim 36 , wherein a preference expressed by the at least one drop-off location preference parameter is learned over time.
40 . The system of claim 36 , wherein a preference expressed by the at least one drop-off location preference parameter is based on demographic information regarding the user.Join the waitlist — get patent alerts
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