Targeted Sensor Data Collection for Generating Map Information

a technology of map information and sensor data, applied in the field of map information generation, can solve the problems of difficult to collect complete map information for a given geographical region, difficult to cover multiple countries at large scale, and inability to match tasks, so as to achieve the effect of greater likelihood of matching tasks

Inactive Publication Date: 2019-01-31
UBER TECH INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This patented technology helps companies gather together sensors across different areas quickly without being tied up due to lacking staff members working around them continuously. It also allows firms to create maps based on their locations near each area they visit while still giving them some motivation towards completing tasks like collecting road signs along an entire country.

Problems solved by technology

In order to navigate through maps that include road networks with varying levels of detail, current methods require significant effort on both ends: collection of detailed map information requires costly equipment like cameras; while updating them over long distances takes too much work. This makes navigating across different areas very complex and prone to errors caused by changes made along those routes.

Method used

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  • Targeted Sensor Data Collection for Generating Map Information
  • Targeted Sensor Data Collection for Generating Map Information
  • Targeted Sensor Data Collection for Generating Map Information

Examples

Experimental program
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Embodiment Construction

I. System Overview

[0013]FIG. 1 is a diagram of a system environment for a network system 100 according to one embodiment. Users of the network system 100 may include providers that provide service to other users. Users may both receive service and provide service as providers of the network system 100. In an example use case, a provider operates a vehicle to transport a user from a first location, referred to herein as a “pickup location,” to a second location, referred to herein as a “destination location.” The network system 100 may determine pickup locations and coordinate providers to pick up users at the pickup locations. Other types of service include, for example, delivery of goods such as mail, packages, or consumable items. In addition to coordinating services between users, the network system 100 can also provide different tasks to providers or users. For example, the network system 100 provides mapping tasks for providers to collect sensor data, which the network system 100

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Abstract

A network system uses a hybrid passive and active method for aggregating sensor data. The network system processes the sensor data to generate or update map information, which is used to coordinate geographic based services between users of the network system. In an embodiment, to leverage the idle time of users not actively providing services, the network system provides tasks for the users to collect sensor data for roads or points of interest (POIs) within a geographic region for which the network system is missing map information. The network system may determine that a user is more likely to complete a certain task if the target location for sensor data collection is nearby the user's current location. Thus, the network system is able to micro-target users with specific tasks, resulting in a greater likelihood of efficiently matching tasks to users.

Description

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Claims

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Application Information

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Owner UBER TECH INC
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