In-Vehicle Notification Planning for Automated Driving Failures
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Solution Overview
Problem
Current systems for automated driving lack effective methods to seamlessly integrate notification data related to automated driving level changes and failure detection into the driving experience, often resulting in missed notifications due to reduced occupant attention during automated driving modes.
Innovation Solution
A system comprising a movable object, a notification server, and a content server connected via a network, which generates and presents notification data based on automated driving levels, failure detection, and occupant interests, using a notification plan generation unit to prioritize and schedule notifications according to information intensity and driving mode, ensuring timely and relevant information delivery to the occupant.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If automated driving mode is activated to reduce driver workload, then ease of operation is improved, but occupant attention to notifications decreases resulting in missed notifications
Solution Approach 1:
The system performs preliminary actions by predicting future automated driving level changes and preparing notification strategies in advance. The notification plan generation unit creates a schedule that anticipates when automated driving will be activated, allowing the system to prepare appropriate notification methods before the actual mode change occurs, ensuring notifications are delivered effectively even when occupant attention is reduced.
Solution Approach 2:
The notification presentation strategy dynamically adapts based on the predicted automated driving level changes. The system adjusts notification methods, timing, and channels according to the anticipated driving mode transitions, making the notification system flexible and responsive to changing operational conditions rather than using a static approach.
2Quantity of substance
If multiple notification data types are presented simultaneously to ensure comprehensive information delivery, then quantity of information is improved, but occupant distraction increases during automated driving
Solution Approach 1:
The notification system segments information delivery into different time periods and channels based on predicted automated driving level changes. Instead of presenting all notifications simultaneously, the system divides notifications into different management units and time slots, delivering them through appropriate channels (audio, visual, haptic) at optimized times when they will be most effective and least distracting.
Solution Approach 2:
The system applies different notification strategies to different types of notifications based on their importance and the predicted driving context. Critical safety-related notifications receive higher priority and are delivered through more attention-grabbing channels, while less critical information is delivered through subtler means or deferred to times when automated driving is active and occupant attention is appropriately managed.
3Reliability
If notification timing is optimized for maximum impact, then effectiveness of notification is improved, but reliability of timely notification delivery decreases when automated driving level changes are unpredictable
Solution Approach 1:
The system uses machine learning models to predict future automated driving level changes in advance, allowing the notification plan generation unit to create optimized notification schedules before the actual driving mode transitions occur. This preliminary prediction and planning ensures that notifications are timed to coincide with periods of optimal occupant attention, improving both reliability and effectiveness of notification delivery.
Solution Approach 2:
The notification system incorporates feedback mechanisms where the actual automated driving level changes are compared against predicted changes, and the notification plan is adjusted based on this feedback. This allows the system to learn from past performance and improve its prediction accuracy over time, enhancing the reliability of notification timing while maintaining effectiveness.
Data Source
AI summary
A control apparatus is for controlling notification data presented to an occupant of a movable object having an automated driving function, including an outside world information obtaining unit for obtaining outside world information of the movable object, a failure detection unit for detecting a failure of the movable object, a setting unit for setting a point associated with the failure based on the outside world information, and setting a scheduled time instant at which the point is reached, and a notification plan generation unit for generating a notification plan for setting an order for presenting predetermined notification data to the occupant according to the point and the scheduled time instant, wherein the notification plan generation unit is for estimating an information intensity of the notification data, and deciding an order for presenting detection information of the failure and the notification data in a predetermined period according to the information intensity.