Vehicle HMI Task Timing for Uninterrupted Autonomous Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Autonomous driving systems face challenges in managing secondary tasks during autonomous driving, as the duration of these tasks varies, leading to inconvenience when interrupted or requiring frequent selection, especially in traffic congestion scenarios.
Innovation Solution
An HMI control device and program that acquires the possible duration for autonomous driving and presents suitable secondary tasks to occupants, allowing for task continuation during temporary traffic resolution, while controlling vehicle speed and displaying road conditions based on occupant behavior and traffic states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous driving is enabled during traffic congestion, then the driver can execute secondary tasks, but the task duration becomes unpredictable and may be interrupted frequently
Solution Approach 1:
The system performs preliminary actions by predicting traffic congestion duration before the secondary task is interrupted. The prediction unit estimates how long the congestion will last, and this information is used proactively to manage secondary task execution, allowing the system to prepare for potential interruptions before they occur.
Solution Approach 2:
The system implements feedback by continuously monitoring actual traffic congestion duration and comparing it with predicted values. This feedback loop allows the system to learn from past predictions and improve future accuracy, while also providing real-time information about whether secondary tasks can be completed without interruption.
2Measurement precision
If the system predicts traffic congestion duration accurately, then secondary task execution can be optimized, but requires complex prediction algorithms and data processing
Solution Approach 1:
The prediction unit leverages existing traffic information infrastructure and multi-functional data sources (navigation systems, traffic sensors, historical data) that serve multiple purposes. By utilizing already-collected traffic data for both navigation routing and congestion duration prediction, the system achieves accurate predictions without requiring entirely new specialized systems.
Solution Approach 2:
The system uses its own existing traffic information gathering and processing capabilities to generate congestion duration predictions, rather than relying on external specialized prediction services. The same sensors and data processing units used for autonomous driving navigation also serve the prediction function, making the system self-sufficient.
3Ease of operation
If the driver is allowed to execute secondary tasks during autonomous driving, then driver comfort is improved, but safety monitoring becomes more challenging
Solution Approach 1:
The system applies partial monitoring by focusing on key safety-critical states rather than continuously monitoring all driver parameters. When congestion duration predictions indicate that secondary tasks will not be interrupted, the system can reduce monitoring intensity, allowing drivers more freedom while maintaining adequate safety oversight.
Solution Approach 2:
The monitoring system dynamically adjusts its strictness based on predicted congestion duration and secondary task characteristics. When predictions show stable conditions suitable for secondary task execution, monitoring is relaxed to improve comfort. When uncertainty increases or interruption risk rises, monitoring intensity increases to maintain safety.
Data Source
AI summary
An HMI control device is configured to control an HMI device mounted in a vehicle, which is capable of performing an autonomous driving as a first task. The HMI control device is configured to: acquire a possible duration for the autonomous driving; and present, by the HMI device, a second task that an occupant on a driver's seat is able to start executing during the autonomous driving based on the possible duration acquired by the time acquisition unit.