Automatic Driving Proposal Device Threshold Logic
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Solution Overview
Problem
Automatic driving systems face challenges on ordinary roads due to complex traffic environments, leading to distrust among drivers when the system requests a driving change immediately after selecting automatic driving, as the system's sensing and processing capabilities may struggle, causing unreliable performance.
Innovation Solution
An automatic driving proposal device and method that calculates a prediction time or change index, determining whether to propose automatic driving based on thresholds, preventing immediate driving change requests and thus reducing driver distrust by ensuring the system only proposes automatic driving when conditions are favorable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the automatic driving system requests a driving change immediately after selecting automatic driving, then the system responds quickly to potential issues, but driver trust decreases due to unreliable performance in complex traffic environments
Solution Approach 1:
The system performs preliminary evaluation of the surrounding environment and calculates prediction time before issuing a driving change request. This ensures that the system only requests driving change when it has sufficient time to process complex traffic situations, thereby maintaining both quick response and reliable performance.
Solution Approach 2:
The system continuously monitors the surrounding environment and adjusts its driving change request timing based on real-time conditions. By providing feedback on environmental complexity and prediction time, the system optimizes the balance between response speed and reliability, preventing premature requests that would reduce driver trust.
2Adaptability or versatility
If the system proposes automatic driving in complex traffic environments, then the automatic driving function is more versatile, but the system's sensing and processing capabilities become insufficient
Solution Approach 1:
The system performs preliminary assessment of environmental complexity before proposing automatic driving. By calculating prediction time and evaluating surrounding conditions in advance, the system determines whether its sensing and processing capabilities are sufficient for the current environment, thus maintaining adaptability without overwhelming its capabilities.
Solution Approach 2:
The system changes the parameter of proposal timing based on environmental complexity. When the environment is too complex for reliable processing, the system delays or cancels the proposal, adapting its behavior to match its sensing and processing capabilities while still maintaining versatility in suitable conditions.
3Measurement precision
If the system calculates detailed prediction time and change index, then the proposal accuracy improves, but the calculation complexity increases
Solution Approach 1:
The system extracts only the essential parameters needed for accurate proposal timing, such as prediction time and change index, from the complex set of possible calculations. By focusing on these key metrics, the system achieves high measurement precision while avoiding unnecessary computational complexity.
Solution Approach 2:
The system changes the parameters being calculated from comprehensive environmental analysis to specific, targeted metrics like prediction time and change index. This parameter transformation maintains measurement precision for proposal timing while significantly reducing calculation complexity by focusing only on the most relevant factors.
Data Source
AI summary
An automatic driving proposal device or an automatic driving proposal method is used for a vehicle that selects either a state of an automatic driving or a state of a manual driving by an occupant. The automatic driving proposal device or the automatic driving proposal method performs a driving change request to the occupant in the state of the automatic driving, determines whether the automatic driving is possible in the state of the manual driving, calculates a calculation value corresponding to a distance or a prediction time or calculates a change index, and proposes the automatic driving to the occupant on a necessary condition of determining that the automatic driving is possible and also determining that the calculation value is higher than a threshold value or determining that the change index is lower than a threshold value.


