Unknown Organization (20240312263). Method and System for Logging Vehicle Behaviour simplified abstract
Contents
Method and System for Logging Vehicle Behaviour
Organization Name
Inventor(s)
Andrew William Wright of Virginia Water (GB)
Method and System for Logging Vehicle Behaviour - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240312263 titled 'Method and System for Logging Vehicle Behaviour
Simplified Explanation: This patent application describes a mobile telecommunications device that can log driving information associated with a vehicle. The device uses sensors like image sensors, audio sensors, accelerometers, and positioning modules to gather data during driving. A processor and memory are used to process this data and determine if the driving pattern is acceptable or unacceptable using a neural network.
- The mobile telecommunications device is equipped with sensors like image sensors, audio sensors, accelerometers, and positioning modules.
- The device can determine the start of a driving period and process sensor data to derive driving information.
- A neural network is used to automatically determine if the driving pattern is acceptable or unacceptable.
- The driving information is stored in the device's memory for future reference.
Potential Applications: This technology can be used for driver behavior monitoring, insurance purposes, fleet management, and improving road safety.
Problems Solved: This technology addresses the need for accurate and automated monitoring of driving behavior to promote safe driving practices.
Benefits: The benefits of this technology include improved driver safety, better insurance premiums based on actual driving behavior, and enhanced fleet management capabilities.
Commercial Applications: Title: Driver Behavior Monitoring System for Improved Road Safety This technology can be commercially applied in the insurance industry for usage-based insurance policies, in fleet management for monitoring driver behavior and optimizing routes, and in road safety initiatives for analyzing driving patterns and identifying areas for improvement.
Prior Art: Researchers can explore prior art related to driver behavior monitoring systems, sensor-based driving analysis, and neural network applications in the field of automotive technology.
Frequently Updated Research: Stay updated on advancements in sensor technology, neural network algorithms for driving analysis, and applications of AI in improving road safety.
Questions about Driver Behavior Monitoring Systems: 1. How does this technology impact insurance premiums? - This technology can lead to more accurate pricing of insurance policies based on actual driving behavior, potentially resulting in lower premiums for safe drivers. 2. What are the privacy implications of using a mobile device to monitor driving behavior? - Privacy concerns may arise regarding the collection and storage of sensitive driving data, prompting discussions on data security and user consent.
Original Abstract Submitted
a mobile telecommunications device configured to log driving information associated with a vehicle is described. the mobile telecommunications 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 mobile telecommunications 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 the driving period 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 mobile device, to determine whether the driving information represents an acceptable or unacceptable driving pattern; and store at least some of the driving information to the memory.
