Driver Collision Alerts With Adaptive Timing and Conspicuousness
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Solution Overview
Problem
Existing alerting systems for drivers struggle to notify the risk of contact with nearby objects in a form that is easily acceptable and recognizable to the driver, while avoiding unnecessary disturbance.
Innovation Solution
An alerting system that includes a risk calculation unit to determine the risk of collision based on the distance to an object, a notification unit to alert the driver via an HMI device, and a decision unit that optimizes notification parameters such as timing and conspicuousness level to maximize driver reaction, using machine learning to adjust these parameters based on driver response data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If notification is executed early when risk is not yet high, then driver has time to react, but notification may bother the driver and reduce acceptability
Solution Approach 1:
The notification system dynamically adjusts the notification timing and parameters based on real-time risk assessment and learned driver preferences. The decision unit selects notification parameter sets that adapt to changing conditions, optimizing both early warning capability and driver acceptability by avoiding fixed, static notification approaches.
Solution Approach 2:
The system changes notification parameters (timing, conspicuousness level, type) based on the calculated risk indicator and driver reaction history. By adjusting these parameters dynamically, the system can notify drivers early when risk is low while modifying notification characteristics to maintain acceptability and avoid disturbance.
2Loss of information
If notification stimulus is made more conspicuous to ensure driver recognition, then driver awareness improves, but driver comfort and acceptability deteriorate
Solution Approach 1:
The notification system applies different conspicuousness levels and stimulus types tailored to specific situations and individual driver characteristics. Rather than using a uniform high-intensity notification for all cases, the system locally optimizes notification quality by selecting appropriate parameter sets that provide sufficient awareness while minimizing discomfort for each specific context.
Solution Approach 2:
The conspicuousness level of notifications is dynamically adjusted based on the calculated risk indicator and learned driver preferences. The decision unit selects from multiple notification parameter sets with varying conspicuousness levels, allowing the system to provide adequate driver awareness while adapting to individual comfort thresholds and situational requirements.
3Adaptability or versatility
If notification parameters are optimized for individual drivers, then notification acceptability improves, but system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The system implements feedback loops where driver reactions to notifications are recorded and used to refine future notification parameter selections. The behavior recording unit and reaction information recording unit create a feedback mechanism that learns from actual driver responses, progressively optimizing notification acceptability without requiring complex manual configuration or analysis.
Solution Approach 2:
The notification system performs self-optimization by automatically collecting driver reaction data, analyzing effectiveness, and adjusting notification parameters without external intervention. The decision unit autonomously selects optimal parameter sets based on accumulated reaction information, reducing the need for complex external configuration or manual tuning while improving adaptability over time.
Data Source
AI summary
An alerting system includes a processor that, when a risk indicator indicating a risk of colliding with an object in front falls in a predetermined value range, executes a notification at a predetermined conspicuousness level to a driver via an HMI device, decides on a notification parameter set including parameters defining a notification output timing and the conspicuousness level, records presence or absence of a reactive behavior of the driver to the notification executed using the notification parameter set, records, in a storage device, reaction information in which a reaction ratio, which is a ratio of the number of the notifications to which the reactive behavior occurs to the number of the notifications executed, is associated with each of the different notification parameter sets, and calculates and decides on, an optimal parameter set with which the reaction ratio is estimated to become the highest.