Adaptive Driving Assistance Sounds for Context-Aware Guidance
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Solution Overview
Problem
Existing driving assistance technologies do not adequately provide sound notifications tailored to varying surrounding situations, leading to inadequate driving guidance for vehicle occupants.
Innovation Solution
A driving assistance device that includes a recognizer to identify surrounding situations, a decider to determine acceleration or deceleration prompts, and a notification controller to output sounds with varying structures based on these conditions, using frequency, pitch, and sound image direction to guide drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fixed-structure notification sounds are used, then the system is simple to implement, but the driving assistance is not appropriate for various surrounding situations
Solution Approach 1:
The notification sound structure is made dynamic by continuously changing its parameters (frequency, pitch, timbre) based on the surrounding situation and vehicle state. Instead of using fixed notification sounds, the system generates adaptive sounds that evolve in real-time, allowing the same notification system to convey different meanings and urgencies through parameter modulation.
Solution Approach 2:
The invention changes the parameters of the notification sound (frequency, pitch, timbre) according to the surrounding situation and vehicle state. By modulating these acoustic parameters dynamically, the system can differentiate between various driving contexts (e.g., merging, intersection, straight road) and provide context-appropriate assistance without requiring multiple separate notification systems.
2Reliability
If notification sounds are continuously changed based on surrounding situations, then appropriate driving assistance is provided, but the information processing complexity increases
Solution Approach 1:
The system performs preliminary classification of surrounding situations into predefined categories (e.g., merging, intersection, straight road) before generating notification sounds. This preliminary categorization simplifies the subsequent sound generation process by mapping recognized situations to specific acoustic patterns, reducing the complexity of real-time decision-making while maintaining reliable and context-appropriate assistance.
3Loss of information
If different notification sounds are used for acceleration and deceleration, then the guidance is more precise, but the system complexity increases
Solution Approach 1:
The notification sound is customized with local quality variations by adjusting specific acoustic parameters (frequency for acceleration, pitch for deceleration) while maintaining the same underlying sound structure. This allows the system to convey different directional information (accelerate vs. decelerate) through parameter modulation rather than using completely different sound files, reducing system complexity while preserving information clarity.
Data Source
AI summary
Provided is a mobile object control device configured to: recognize a surrounding situation of a mobile object; set, based on the recognized surrounding situation, a risk area in which positions of the surrounding situation are associated with risk values that are indicator values indicating degrees to which the mobile object is to avoid traveling; generate a target trajectory indicating a route along which the mobile object is to travel in the future; cause the mobile object to travel along the generated target trajectory; and set at least one observation point in each of three or more provisional trajectories branching at a specific location ahead of the mobile object, and generate the target trajectory based on the risk area and the at least one observation point.