Vehicle-Passenger Identification Using Sensor Data Exchange
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Solution Overview
Problem
Ride hailing services face challenges in connecting users and vehicles at the start of a trip, as users and drivers often lack identification of each other, leading to frustration, delays, or incorrect pickups.
Innovation Solution
The use of sensors on user devices and vehicles to capture and exchange image data, including augmented reality elements, to facilitate the identification of users and vehicles, with techniques such as image recognition and sensor data analysis to determine identities and locations, ensuring accurate pickups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ride hailing connection methods are used, then users and drivers can complete pickups, but identification accuracy is low leading to frustration and incorrect pickups
Solution Approach 1:
The system performs preliminary identification actions by capturing images of the user before the vehicle arrives and providing them to the driver. This advance preparation allows the driver to identify the correct user immediately upon arrival, eliminating waiting time and preventing incorrect pickups.
Solution Approach 2:
Image data serves as an intermediary between the user and driver for identification purposes. Instead of direct verbal communication or memory-based identification, the system uses visual images as a mediator to enable accurate and quick recognition of the correct user.
2Measurement precision
If image data exchange is implemented, then identification accuracy improves, but system complexity increases
Solution Approach 1:
The system uses the user device's existing camera and processing capabilities to capture and transmit identification images. The user device serves itself by utilizing its own sensors and computational resources, eliminating the need for separate dedicated identification hardware in the vehicle or at pickup locations.
Solution Approach 2:
The image data exchange system serves multiple functions: it provides user identification for the driver, confirms pickup location, and can be used for trip documentation. This multi-functionality reduces the need for separate systems for each function, thereby limiting the increase in overall system complexity.
Data Source
AI summary
Techniques for assisting a passenger to identify a vehicle and for assisting a vehicle to identify a passenger are discussed herein. Also discussed herein are techniques for capturing data via sensors on a vehicle or user device and for presenting such data in various formats. For example, in the context of a ride hailing service using autonomous vehicles, the techniques discussed herein can be used to identify a passenger of the autonomous vehicle at the start of a trip, and can be used to assist a passenger to identify an autonomous vehicle that has been dispatched for that particular passenger. Additionally, data captured by sensors of the vehicle and/or by sensors of a user device can be used to initiate a ride, determine a pickup location, orient a user within an environment, and/or provide visualizations or augmented reality elements to provide information and/or enrich a user experience.