Abnormal Driving Detection Using Location and Sensor Data
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Solution Overview
Problem
Existing systems for detecting abnormal driving, such as drowsiness, require complex and costly components like cameras and sensors, making them economically inefficient and limited to detecting only drowsy driving.
Innovation Solution
A vehicle location information-based system that uses sensors like steering angle, vehicle speed, and acceleration sensors, combined with GPS and map information, to determine abnormal driving states without additional components, and outputs warnings through a control unit and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera and sensor systems are used to detect driver drowsiness, then detection accuracy is improved, but device complexity and manufacturing cost increase significantly
Solution Approach 1:
The patent extracts the core detection function from complex camera and sensor systems, isolating only the essential monitoring capabilities needed for abnormal driving detection. By removing unnecessary components and focusing on critical detection functions, the system achieves adequate detection accuracy without the burden of complex hardware
Solution Approach 2:
The patent makes existing vehicle components serve multiple functions. The vehicle's existing sensors and control units are repurposed to perform both their original functions and abnormal driving detection, eliminating the need for dedicated detection hardware and reducing overall system complexity
2Reliability
If camera and pulse sensor systems are installed to monitor driver state, then detection capability is improved, but manufacturing cost increases
Solution Approach 1:
The system utilizes the vehicle's existing sensors and control units to perform detection functions, making the detection system self-sufficient without requiring additional dedicated hardware. The existing vehicle infrastructure serves the dual purpose of vehicle operation and driver monitoring, eliminating the need for separate detection components
Solution Approach 2:
Existing vehicle components are designed to perform multiple functions simultaneously. The control unit processes both standard vehicle operation data and abnormal driving detection data, while existing sensors monitor both vehicle performance and driver behavior, reducing manufacturing costs through component multi-use
3Measurement precision
If complex sensor systems are used to detect abnormal driving, then detection precision is improved, but ease of manufacture deteriorates
Solution Approach 1:
The patent extracts only the essential detection functions from complex sensor systems, removing redundant components while maintaining adequate detection precision. By focusing on critical detection capabilities rather than comprehensive monitoring, the system achieves necessary precision at lower manufacturing cost
Solution Approach 2:
The system uses inexpensive existing vehicle sensors and control units rather than expensive dedicated detection hardware. By leveraging readily available, cost-effective components that are already part of the vehicle, the system achieves detection precision without the high manufacturing costs of specialized equipment
Data Source
AI summary
The disclosed system includes a first unit including at least one sensor. The first unit senses driving situations (characteristics) of a vehicle through the at least one sensor. Furthermore a second unit is configured to receive location-based information about the vehicle, and a control unit which includes an operation statistic unit calculates an acceptable range to be output by the first unit on a particular type of road based on the information detected by the sensing unit and the information received by the location second unit. The control unit also includes an abnormal driving determination unit which compares values sensed by the first unit with values calculated by the operation statistic unit to determine whether or not the vehicle is being driven in an abnormal state.