Mobile Device Driving Behavior Logging via Sensor Fusion
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Solution Overview
Problem
Existing data logging devices for road vehicles are costly and difficult to install, leading to minimal uptake for retrofitted solutions.
Innovation Solution
A mobile telecommunications device with a sensor set, processor, and memory is configured to log driving information by determining the start of a driving period, processing sensor data, and storing selected information, which can be used to make safety determinations and issue alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated data logging devices are installed in vehicles, then measurement precision and reliability are improved, but device complexity and installation difficulty increase
Solution Approach 1:
The patent applies universality by using a mobile device that can serve multiple functions: it acts as both a communication device and a data logging device for vehicle monitoring. The mobile device's existing sensors (accelerometer, GPS, microphone, camera) are leveraged to perform driving behavior analysis, eliminating the need for dedicated specialized hardware while maintaining measurement capabilities.
Solution Approach 2:
The patent applies copying by using the mobile device's existing sensor suite to replicate the functionality of dedicated vehicle sensors. Instead of installing separate measurement devices, the system copies the sensing capabilities already present in the mobile device to measure driving parameters such as acceleration, position, and audio events.
2Measurement precision
If dedicated data logging devices with vehicle sensors are used, then measurement precision is improved, but ease of operation and installation are worsened
Solution Approach 1:
The system copies sensor functionality from the mobile device to replace dedicated vehicle sensors. The mobile device's accelerometer, GPS, microphone, and camera are used to replicate the measurement capabilities of specialized automotive sensors, eliminating complex installation requirements while maintaining data accuracy.
Solution Approach 2:
The mobile device performs self-service by using its own built-in sensors and processing capabilities to collect and analyze driving data. The device leverages its existing hardware and software resources to perform monitoring functions without requiring external dedicated equipment or complex integration with vehicle systems.
3Measurement precision
If comprehensive sensor suites are installed in vehicles, then measurement precision and data completeness are improved, but cost and device complexity increase
Solution Approach 1:
The patent applies universality by utilizing the mobile device's existing multi-functional sensor suite for driving behavior monitoring. The same device used for communication also performs sensing, processing, and analysis functions, eliminating the need for separate dedicated hardware installations and reducing overall system cost.
Solution Approach 2:
The system copies the sensing and processing capabilities of dedicated automotive systems into the mobile device. By leveraging the mobile device's existing sensors and computational resources, the system replicates the functionality of expensive dedicated equipment without requiring additional hardware installation.
Data Source
AI summary
A mobile telecommunications device configured to log driving information associated with a vehicle. The device comprises: a sensor set comprising at least one of an image sensor, an audio sensor, an accelerometer and a positioning module, or a combination thereof; a processor; and a memory; the device being configured to: determine, based at least in part on sensor data from the device's sensor set, a start of a driving period during which the mobile device is present in the vehicle and the vehicle is in use, process the sensor data from the sensor set during driving to derive driving information associated with how the vehicle is driven, mobile telecommunications device being configured to process the sensor data automatically, using a neural network provided in the device, determining whether driving information represents acceptable or unacceptable driving pattern; and store the driving information to memory.