Vehicle Occupancy Detection Using Sensor Data
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Solution Overview
Problem
Existing systems face challenges in accurately determining whether a user is in a vehicle and driving, leading to inefficient use of location tracking hardware and potential safety issues due to distracted driving.
Innovation Solution
A system that utilizes sensor data from user devices, such as accelerometers, gyroscopes, and magnetometers, to create a reference dataset for determining vehicle occupancy and driving status, activating location tracking only when necessary and disabling distracting functions while driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location tracking hardware is continuously activated to determine vehicle occupancy, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system performs preliminary actions by using sensor data (accelerometer, gyroscope, magnetometer) to predict whether the user is in a vehicle before activating the expensive location tracking hardware. This preliminary classification allows the system to activate location tracking only when necessary, reducing energy consumption while maintaining detection accuracy.
Solution Approach 2:
The patent introduces sensor data processing as an intermediary layer between the user's physical state and the location tracking activation. This intermediary uses low-power sensors to make informed decisions about when to engage high-power location services, resolving the contradiction between continuous monitoring and energy saving.
2Measurement precision
If location tracking is activated continuously to determine driving status, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary classification using sensor data to determine if location tracking is needed before actually activating it. This preliminary action filters out unnecessary status determinations, reducing time loss by avoiding activation of location tracking when the user is clearly not in a vehicle.
Solution Approach 2:
The patent applies partial action by using only the necessary sensors (accelerometer, gyroscope, magnetometer) for initial classification rather than continuously activating all location tracking services. This partial approach reduces time loss by engaging fewer resources until needed.
3Ease of operation
If distracting functions are allowed during vehicle operation, then ease of operation is improved, but object-affected harmful factors increase
Solution Approach 1:
The system dynamically adjusts device functionality based on real-time detection of vehicle occupancy and driving status. When the user is detected as driving, distracting functions are automatically restricted; when not driving, full functionality is restored. This dynamic adaptation resolves the contradiction by making ease of operation conditional on safety.
Solution Approach 2:
The patent implements feedback mechanisms where sensor data continuously informs the system's decisions about function availability. The system receives feedback from sensors about user state and automatically adjusts which functions are accessible, creating a closed-loop system that balances ease of operation with safety.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces power consumption by activating location tracking only when needed and enhances driver safety by locking distracting functions during vehicle operation.
Implementation Method 1
sensor data, gathered by a user device, may be used to determine whether a user of the user device is in a vehicle
Implementation Method 2
sensor data, gathered by a user device, may be used to determine whether a user of the user device is in a vehicle
Implementation Method 3
sensor data, gathered by a user device, may be used to determine whether a user of the user device is in a vehicle
Data Source
AI summary
A device may receive sensor data regarding a user device; and determine, based on the sensor data, that a user of the user device is in a vehicle or driving the vehicle. When determining that the user of the user device is in the vehicle or driving the vehicle, the device may compare the sensor data, received from the user device, with a reference dataset that includes reference data associated with users being present in or driving a vehicle, or determine that a value of a measurement, received as part of the sensor data, satisfies a threshold that is related to whether the user is in the vehicle or driving the vehicle. The device may output a particular control instruction to the user device based on determining that the user is in the vehicle or is driving the vehicle.