Driver Preference Determination Using Vehicle and Gaze Data
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Solution Overview
Problem
Existing systems cannot determine a driver's preference for parking space selection, only assessing whether a parking lot is full based on vehicle speed changes, without considering the driver's behavior or parking space attributes.
Innovation Solution
A determination device and method that acquire information on vehicle behavior, driver behavior, and parking space attributes to determine the driver's preference for selecting a parking space, using sensors for vehicle speed, line of sight, and utterances, and attributes like proximity to store entrances or availability of spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only vehicle speed data is used to determine parking lot status, then the system is simple to implement, but it cannot grasp driver preferences for parking space selection
Solution Approach 1:
The patent combines multiple data sources including vehicle speed information, driver line-of-sight data, and utterance recognition to comprehensively determine driver preferences for parking space selection, resolving the information loss problem by integrating diverse data types into a unified analysis framework
Solution Approach 2:
The determination device is designed to perform multiple functions: it not only detects parking lot fullness but also analyzes driver preferences by processing vehicle behavior, driver gaze direction, and spoken utterances, making the system versatile in capturing various aspects of driver decision-making
2Measurement precision
If multiple data sources are integrated to determine driver preferences, then determination accuracy is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary processing of multiple data streams (vehicle speed, line-of-sight, utterances) as they are collected, preparing and filtering data in advance to enable faster final determination of driver preferences, reducing the computational burden during critical decision moments
Solution Approach 2:
The determination device continuously monitors driver behavior and provides feedback by adjusting its analysis based on accumulated data patterns, allowing it to refine preference determination over time and reduce processing requirements for subsequent decisions
Data Source
AI summary
A determination device that determines a tendency of a driver who selects a parking space includes an acquisition unit configured to acquire information regarding an attribute of the parking space in a parking lot, information regarding behavior of a vehicle driven by the driver in the parking lot, and information regarding behavior of the driver when the driver is driving the vehicle in the parking lot, and a determination unit configured to determine the tendency of the driver when the driver selects the parking space, based on the information regarding the behavior of the vehicle or the information regarding the behavior of the driver and the information regarding the attribute of the parking space.


