Image-Based Ride Request Interface for Accurate Pickup Localization
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Solution Overview
Problem
Conventional transportation systems face inaccuracies and inefficiencies in identifying and transmitting pickup locations due to reliance on GPS in urban areas and user-generated inputs, leading to excessive computational resources and time consumption.
Innovation Solution
An image-based transportation request interface utilizing an environmental digital image stream and SLAM technology to determine the location of a requestor computing device, providing augmented reality elements for accurate pickup location identification without a top-down map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If GPS is used to identify pickup location, then location identification is automated, but location accuracy deteriorates in urban areas with signal interference
Solution Approach 1:
The patent introduces an intermediary system that bridges GPS and visual recognition. A camera captures images of the user's surroundings, and image recognition algorithms process these images to identify landmarks and determine location. This visual intermediary complements GPS data, providing accurate location information in urban areas where GPS signals are blocked or inaccurate.
2Measurement precision
If user input is required for pickup location, then location accuracy may improve, but user interaction time and complexity increase
Solution Approach 1:
The system performs self-service location identification by automatically capturing images with the camera and processing them through recognition algorithms. The system independently determines pickup locations without requiring users to manually input address information or interact with maps, thereby eliminating time-consuming user interaction while maintaining high location accuracy.
3Device complexity
If conventional location systems are used, then system simplicity is maintained, but computational resources and time are excessive
Solution Approach 1:
The patent extracts and processes only the essential visual information needed for location identification. Instead of processing comprehensive map data or multiple sensor streams, the system focuses on capturing and analyzing images of the immediate surroundings, extracting key visual landmarks and their spatial relationships to determine location efficiently.
4Loss of information
If top-down map interface is provided, then pickup location can be displayed, but user navigation to location becomes difficult and time-consuming
Solution Approach 1:
Instead of presenting a top-down abstract map view that requires users to mentally translate to real-world locations, the patent inverts the approach by providing a first-person perspective view through the camera. The pickup location is overlaid directly onto the live camera feed, allowing users to immediately recognize and navigate to the location without mental translation or map manipulation.
Data Source
AI summary
The present application discloses an improved transportation matching system, and corresponding methods and computer-readable media. According to the disclosed embodiments, the transportation matching system utilizes an image-based transportation request interface and environmental digital image stream to efficiently generate transportation requests with accurate pickup locations. For instance, the disclosed system can utilize one or more environmental digital images provided from a requestor computing device (e.g., a mobile device or an augmented reality wearable device) to determine information such as the location of the requestor computing device and a transportation pickup location within the environmental digital images. Furthermore, the disclosed system can provide, for display on the requestor computing device, one or more augmented reality elements at the transportation pickup location within an environmental scene that includes the transportation pickup location.