Onboard Vehicle Notification System for Dangerous Driver Detection
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Solution Overview
Problem
Drivers cannot effectively anticipate and avoid reckless drivers on the road due to the inability to continuously monitor the behavior of other vehicles while focusing on driving.
Innovation Solution
An onboard vehicle system that identifies potentially dangerous vehicles by using sensors and communication with a service provider to gather and analyze driving behavior data, providing warnings to the driver through visual or audio notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a driver continuously monitors the behavior of other vehicles to identify reckless drivers, then the ability to detect dangerous vehicles improves, but the driver's focus on driving deteriorates
Solution Approach 1:
The patent introduces an intermediary system consisting of sensors, processors, and communication devices that mediate between the driver and the task of monitoring other vehicles. The system automatically captures images, identifies vehicles, queries driving behavior data, and presents warnings to the driver, eliminating the need for the driver to directly perform these monitoring tasks while maintaining detection capability
Solution Approach 2:
The system performs self-service by automatically executing the entire monitoring and analysis process without requiring direct driver intervention. The onboard sensors automatically capture images, the processor automatically identifies vehicles and queries their behavior data, and the system automatically presents warnings, allowing the driver to maintain focus on driving while the system handles the safety monitoring independently
2Measurement precision
If the onboard system queries driving behavior data for every identified vehicle, then the accuracy of danger identification improves, but the communication time and data transmission increase
Solution Approach 1:
The system applies partial action by querying driving behavior data selectively rather than for every identified vehicle. It prioritizes querying vehicles that pose potential threats based on their proximity, relative position, and detected reckless behaviors, thereby reducing unnecessary communication overhead while maintaining adequate identification accuracy for high-risk vehicles
Solution Approach 2:
The service provider pre-computes and stores driving behavior assessments for vehicles in advance. When the onboard system needs to evaluate a vehicle, it queries pre-analyzed behavior data rather than performing real-time analysis, significantly reducing communication time and data transmission requirements while maintaining accurate danger identification
Data Source
AI summary
Described herein is an onboard vehicle system configured to capture vehicle information and notify an operator of the onboard vehicle system of potentially dangerous vehicles. In some embodiments, the onboard vehicle system may capture image information related to its surroundings. The image information may be processed to identify one or more vehicle identifiers associated with vehicles in the vicinity of the onboard system. The onboard system may provide vehicle identifiers to a service provider computer, which may subsequently query one or more driver behavior databases for anomalous behavior related to the vehicle identifiers. Upon detecting anomalous behavior for a target vehicle, the service provider computer may generate one or more notifications to be presented to the operator of the onboard system with regard to the target vehicle. In some embodiments, the onboard system may present the notification to the operator in an audio and/or visual format.