Line Scan Camera Vehicle Feature Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems for monitoring vehicles on a traffic lane, such as those used for toll collection, face challenges in accurately distinguishing between toll-paying and non-toll-paying vehicles due to perspective distortion and varying light yield, especially with longer vehicles like trucks, and require cumbersome data assignment between LIDAR and video imaging devices.
Innovation Solution
A line scan camera is used laterally beside the traffic lane to record vehicle images, with an adaptable sampling rate and post-correction based on vehicle velocity to correct image distortion, allowing for reliable feature recognition and identification without additional measuring devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a LIDAR-system and video imaging device are combined for vehicle recording, then vehicle identification capability is improved, but device complexity and data assignment difficulty increase
Solution Approach 1:
The patent extracts and removes the LIDAR-system from the vehicle recording arrangement, relying solely on a video imaging device for capturing and evaluating vehicle data. This eliminates the complexity of combining multiple sensing systems while maintaining the ability to identify and classify vehicles through image evaluation alone.
Solution Approach 2:
The video imaging device is designed to perform multiple functions: capturing vehicle images, determining vehicle features, and enabling vehicle classification. By making the single device universal, the patent eliminates the need for separate LIDAR-system while achieving comprehensive vehicle identification capability.
2Area of stationary object
If a video imaging device records vehicles at distance, then coverage area is improved, but image quality and light yield deteriorate due to perspective distortion and reduced illumination
Solution Approach 1:
The patent positions the video imaging device laterally beside the traffic lane rather than above it, changing the recording dimension from vertical to horizontal. This lateral positioning eliminates perspective distortion that occurs with overhead recording, allowing clear capture of vehicle features including length, while maintaining adequate coverage of the traffic lane.
3Area of stationary object
If recording distance is increased to cover more traffic lane, then coverage area is improved, but light yield and illumination intensity deteriorate
Solution Approach 1:
By repositioning the camera laterally beside the traffic lane rather than above it, the system maintains a consistent horizontal distance to vehicles passing by. This dimensional change allows the camera to capture vehicles at extended distances along the lane without suffering from vertical perspective effects that reduce light yield and image quality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate and efficient recognition of vehicle features like length, number of axles, and registration, reducing data errors and allowing for real-time classification and identification of vehicles using a single line scan camera, while minimizing perspective distortion and light yield issues.
Implementation Method 1
a light sensitive sensor (3) for recording an image of the vehicle (2)... wherein the light sensitive sensor is realised as a line scan camera (3)
Data Source
AI summary
An arrangement for determining at least one feature of a vehicle moving along a traffic lane, having a light sensitive sensor for recording an image of the vehicle and having an evaluation device for determining the at least one feature on the image, as well as a method for determining at least one feature of a vehicle moving along a traffic lane, especially by means of such an arrangement, wherein an image of the vehicle is recorded with a line scan camera and the image is evaluated for determining at least one feature of the vehicle.