In-Vehicle Occupant Request Estimation for Multi-Passenger Voice Context
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Solution Overview
Problem
Existing systems fail to accurately estimate occupant requests in vehicles due to the complexity of relationships and states among multiple occupants, leading to an inability to provide a comfortable in-vehicle experience that meets individual needs.
Innovation Solution
A device for mobile objects, including an occupant information specifying unit and a request estimation unit, which detects and distinguishes multiple occupants using sensors and estimates their requests based on voice content and conversation backgrounds, allowing for more accurate assessment of combined occupant information records.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If personal information is acquired from a database for occupants who get on board, then information provision to occupants is improved, but the system cannot accurately estimate requests when multiple occupants are present simultaneously
Solution Approach 1:
The system segments occupant information processing by distinguishing between individual occupant data (from database) and real-time interaction data (voice contents). The occupant information specifying unit separates voice contents by occupant, and the request estimation unit processes combinations of individual occupant information records to estimate requests for each occupant separately, enabling accurate request estimation in multi-occupant scenarios.
Solution Approach 2:
The system adds a new dimension to occupant information by incorporating voice contents as a dynamic parameter alongside static personal information from the database. This creates a multi-dimensional occupant information record that includes both pre-stored personal data and real-time voice-based interaction data, enabling more accurate request estimation.
2Measurement precision
If voice content detection is added to distinguish multiple occupants, then occupant identification accuracy is improved, but device complexity increases
Solution Approach 1:
The voice detection sensor serves multiple functions: it detects the presence of occupants, distinguishes between multiple occupants by capturing their voice contents, and provides data for request estimation. This multi-functional approach avoids adding separate sensors for each function, thereby limiting the increase in device complexity while achieving accurate occupant distinction.
Solution Approach 2:
The system uses the occupants' own voice contents as the distinguishing feature, requiring no external tagging or identification devices. Each occupant's voice naturally serves as their unique identifier, and the system processes these self-generated voice signals to distinguish and identify occupants automatically.
3Measurement precision
If request estimation is based on combination of multiple occupant information records, then request estimation accuracy is improved, but information processing complexity increases
Solution Approach 1:
The request estimation unit segments the estimation process by first specifying individual occupant information records separately, then combining these segmented records to estimate requests. This segmented approach to information processing manages complexity by handling individual occupant data independently before synthesis.
Solution Approach 2:
The occupant information specifying unit acts as an intermediary that processes and structures voice contents into standardized occupant information records before they are combined for request estimation. This intermediary processing step organizes the data in a manageable format, reducing the complexity of subsequent combination and estimation operations.
Data Source
AI summary
A device for mobile object, which is usable in a mobile object, includes an occupant information specifying unit and a request estimation unit. The occupant information specifying unit specifies an occupant information record for each of multiple occupants existing in the mobile object by distinguishing the multiple occupants from one another. The multiple occupants are detected by a sensor of the mobile object. The request estimation unit estimates a request of one of the multiple occupants corresponding to a combination of the occupant information records of the multiple occupants based on the occupant information records of the multiple occupants specified by the occupant information specifying unit.