Autonomous Vehicle Configuration via Mobile Accelerometer Data
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Solution Overview
Problem
Frequent users of shared vehicles, such as car rentals or ride-sharing services, face inefficiencies due to the need for repeated adjustments of vehicle components for each use, which can compromise comfort and convenience.
Innovation Solution
A transport facilitation system that configures autonomous vehicles (AVs) based on user preferences prior to pick-up, utilizing mobile devices to collect and analyze data for personalized settings, including seat adjustments, temperature, and entertainment options, and optimizing timing for configuration to enhance user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle components are manually adjusted for each use in shared vehicles, then user customization is achieved, but time and effort are wasted
Solution Approach 1:
The system performs preliminary configuration of vehicle components by analyzing accelerometer data from the user's mobile device to predict user characteristics (height, weight, body type) and automatically adjusting seat positions, mirror angles, and other components before the user arrives. This eliminates the need for manual adjustment at the time of use.
Solution Approach 2:
The system enables self-service configuration by using the user's own mobile device accelerometer data as input. The vehicle automatically configures itself based on this data without requiring manual intervention, making the system serve itself through automated prediction and adjustment.
2Adaptability or versatility
If accelerometer data is collected and analyzed to determine user attributes, then personalized configuration is achieved, but system complexity increases
Solution Approach 1:
The system uses a universal approach by leveraging the accelerometer sensor that already exists in most mobile devices. This multi-functional sensor is repurposed for vehicle configuration, avoiding the need for additional specialized sensors or complex identification systems in the vehicle itself.
Solution Approach 2:
The mobile device acts as an intermediary between the user and the vehicle configuration system. The device collects accelerometer data, transmits it to the vehicle, and the vehicle's processor analyzes it to determine user attributes. This intermediary approach simplifies the vehicle system while maintaining personalization capability.
Data Source
AI summary
A system can analyze accelerometer data and location data from a mobile computing device to determine a set of user attributes for a user of the mobile computing device. In certain implementations, the set of user attributes can be utilized by a backend transport facilitation system to configure an autonomous vehicle's seat for the user prior to being picked up for transport.