Wrong-Way Vehicle Detection Using Direction and Distance Tracking
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Solution Overview
Problem
Existing wrong-way driving detection systems often generate false alarms due to factors like weather or pedestrians, reducing the confidence of traffic management centers and law enforcement, and require improved accuracy to distinguish between legitimate wrong-way driving and other situations.
Innovation Solution
A vehicle wrong-way driving detection device uses a controller to monitor a detection zone by examining consecutive still frames from an imaging device, determining vehicle direction and distance, and outputs a warning signal when the vehicle is traveling in the wrong direction, utilizing machine learning for object detection and reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional wrong-way driving detection systems are used, then detection coverage is provided, but false alarm rate increases due to weather or pedestrians
Solution Approach 1:
The detection system segments the analysis into multiple independent components: object detection (identifying vehicles), direction determination (calculating movement vector), and wrong-way determination (comparing direction with monitored direction). This segmentation allows each component to be optimized independently, reducing false alarms by ensuring all criteria must be met simultaneously
Solution Approach 2:
The system changes the detection parameters from simple presence detection to multi-parameter analysis including movement direction, movement distance, and comparison with monitored direction. By requiring the movement direction to match the monitored direction and movement distance to exceed a threshold, the system reduces false alarms while maintaining detection coverage
2Measurement precision
If simple object detection is used, then system complexity is reduced, but detection precision deteriorates due to inability to distinguish vehicle direction
Solution Approach 1:
The patent replaces complex mechanical direction-detection mechanisms with image processing and computational geometry. The controller calculates movement direction by determining positions of the vehicle in consecutive images and computing the direction of the movement vector, eliminating the need for physical direction-sensing hardware while achieving precise measurement
Solution Approach 2:
The system adds temporal dimension to the detection by analyzing consecutive images at different time instances. By tracking vehicle position across multiple frames and calculating movement vectors, the system determines direction in a higher-dimensional space (spatial-temporal) rather than relying on simple single-frame detection
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for monitoring a detection zone of a road to detect a vehicle moving in a wrong direction. A method can comprise identifying a first object in a first image; identifying a second object in a second image; and determining if the first object and the second object is a same vehicle. The method can further include determining a movement direction of the vehicle and a moving distance that the vehicle has traveled in the movement direction, and determining if the movement direction of the vehicle is the same as the monitored direction. In response to a determination that the movement direction is the same direction as the monitored direction and the moving distance of the vehicle is larger than a predetermined monitoring distance, the method can generate a warning signal to indicate that the vehicle is traveling in a wrong-way.