Adaptive Navigation Commands Using Vehicle Sensor Prediction
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Solution Overview
Problem
Current navigation systems do not adequately modify navigation commands based on individual user needs, such as ability, distraction level, or familiarity with the route, leading to ineffective navigation support.
Innovation Solution
A method and system that utilize sensor data from vehicles to predict user navigational actions and modify navigation commands, including suppressing or increasing the frequency of commands based on historical data and sensor inputs like braking, acceleration, and turn signals, to tailor support to the user's specific situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If navigation commands are provided frequently to ensure user safety, then reliability is improved, but user distraction and annoyance increase
Solution Approach 1:
The navigation system dynamically adjusts command frequency and delivery method based on real-time sensor data analyzing user behavior patterns. The system transitions from static fixed-frequency commands to dynamic adaptive commands that respond to detected user states such as distraction, familiarity level, and ability, thereby maintaining reliability while minimizing distraction.
Solution Approach 2:
The system implements feedback loops where sensor data continuously monitors user responses to navigation commands and detects navigational actions. This feedback mechanism allows the system to learn from user behavior and adjust future command delivery, suppressing commands when users demonstrate familiarity or ability, and increasing frequency when safety concerns arise.
2Adaptability or versatility
If navigation commands are customized to individual user needs, then adaptability is improved, but device complexity increases
Solution Approach 1:
The navigation system performs self-adjustment by automatically analyzing sensor data to determine user ability, distraction level, and familiarity without requiring manual user input or configuration. The system serves itself by learning from observed user behavior and autonomously customizing command delivery, reducing the need for complex user interfaces while maintaining high adaptability.
Solution Approach 2:
The system uses a multi-functional sensor array already present in modern vehicles (cameras, microphones, accelerometers, etc.) to gather data for navigation customization. By leveraging existing vehicle sensors for multiple purposes including navigation adaptation, the system avoids adding dedicated complex hardware while achieving sophisticated user modeling.
3Measurement precision
If sensor data is continuously monitored to predict user actions, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system applies partial monitoring by selectively analyzing sensor data based on contextual needs rather than continuously processing all sensor inputs at full capacity. The system monitors only the specific navigational actions and sensor data relevant to current navigation decisions, reducing unnecessary computational energy consumption while maintaining sufficient prediction accuracy for safety-critical functions.
Data Source
AI summary
A method, computer system, and computer program product for using sensor data to modify navigation commands. The method may include predicting a user's navigational action and modifying a navigation command based on comparing the user's predicted navigational action to a recommended navigational action. The modifying the navigation command may include communicating a navigation command to a user based on the user's predicted navigational action deviating from a predetermined navigational action. The modifying the navigation command may include suppressing a queued navigation command to a user based on the user's predicted navigational action conforming to a predetermined navigational action. Predicting the user's navigational action may be based on information received from one or more sensors embedded in a vehicle. The modifying the navigation command may include increasing a frequency of communicating a queued navigation command to a user or decreasing a frequency of communicating a queued navigation command to the user.