Driver Assistance Control Using Occupant Behavior Data
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Solution Overview
Problem
Conventional navigation systems cannot provide personalized driver assistance based on an occupant's past behavior, such as fatigue or activity levels, leading to inadequate route suggestions and environmental adjustments.
Innovation Solution
An information processing apparatus that acquires data on an occupant's behavior during a trip, using classifications like 'eating' or 'exercising', and provides driver assistance by suggesting waypoints, adjusting the driving environment, and modifying advanced driver assistance system parameters based on this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional navigation systems are used, then basic route guidance is provided, but personalized driver assistance based on occupant behavior cannot be provided
Solution Approach 1:
The system collects and stores occupant behavior data (eating, exercising, etc.) during the first period before the main trip. This preliminary data collection enables personalized assistance to be provided during the second period without interrupting the main navigation function.
Solution Approach 2:
A mobile terminal acts as an intermediary device to generate and transmit occupant behavior data to the information processing apparatus. This mediator enables the system to access behavioral information without requiring direct sensors in the vehicle, thus maintaining system simplicity while enabling personalization.
2Adaptability or versatility
If driver assistance is provided based on occupant behavior data, then personalized support is achieved, but system complexity increases
Solution Approach 1:
The system divides the trip into two distinct periods: first period for data collection and second period for assistance provision. This temporal segmentation simplifies the processing logic by separating data acquisition from data application, making the system more manageable despite its enhanced functionality.
Solution Approach 2:
The mobile terminal generates the behavior data locally without requiring complex sensors or processing equipment in the vehicle. This self-service approach allows the system to obtain behavioral information using existing consumer devices, thereby reducing overall system complexity.
3Reliability
If route suggestions are made without considering occupant behavior, then navigation simplicity is maintained, but route appropriateness deteriorates
Solution Approach 1:
The system collects occupant behavior data during the first period (from point of departure to first point) before providing route suggestions during the second period. This advance data collection ensures that behavioral information is available when needed for route recommendations, improving accuracy without adding delays during critical decision moments.
Data Source
AI summary
An information processing apparatus comprises a controller, the controller being configured to execute: acquiring first data about behavior of an occupant of a first vehicle during a first period from when the first vehicle leaves a point of departure until the first vehicle reaches a first point; and providing driver assistance during a second period from when the first vehicle leaves the first point until the first vehicle reaches a destination.