Vehicle Image Document Designation Frame
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Solution Overview
Problem
Existing methods for generating image documents to designate vehicles on a road lane controlled by a vehicle control system often result in ambiguous images, particularly in heavy traffic, and struggle to isolate the offending vehicle accurately without preventing automatic infringement reports.
Innovation Solution
A method involving a vehicle control system with a control unit, radar/lidar sensor, and camera that acquires track points and two-dimensional images, uses neural networks for analysis, and applies a designation frame to clearly identify the controlled vehicle, ensuring the registration plate is visible and other vehicles are blurred out.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filtering is applied to generate image documents only when the vehicle is isolated, then the clarity and unambiguity of vehicle designation is improved, but the productivity of automatic violation recording deteriorates due to prevention of recordings in heavy traffic
Solution Approach 1:
The patent applies different processing treatments to different regions of the image: the target vehicle region receives precise designation framing while peripheral regions undergo blurring. This local differentiation allows clear vehicle identification in the focal area while maintaining operational continuity in heavy traffic conditions.
Solution Approach 2:
The patent introduces a blurring effect as an intermediary treatment for peripheral vehicles. This mediator allows the system to maintain clear designation of the target vehicle while reducing the visual prominence of other vehicles, thereby avoiding ambiguity without requiring complete isolation of the target vehicle.
2Measurement precision
If the geometric designation figure is made to respect strict geometric criteria (lower edge on wheel contact line), then the precision of vehicle identification is improved, but the reliability deteriorates due to false negatives from difficulty of evaluation
Solution Approach 1:
The patent changes the geometric parameters of the designation figure from strict alignment with wheel contact lines to a more flexible configuration based on vehicle bounding box characteristics. This parameter adaptation maintains sufficient identification precision while reducing the complexity of geometric evaluation and minimizing false negatives.
3Measurement precision
If the designation frame is made to clearly isolate the target vehicle, then the unambiguity of vehicle designation is improved, but the image content deteriorates by potentially excluding necessary contextual information
Solution Approach 1:
The patent applies selective blurring to peripheral zones while maintaining full clarity of the target vehicle and its immediate context. This local quality differentiation preserves necessary contextual information for violation assessment while ensuring unambiguous identification of the target vehicle through the designation frame.
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 allows for unambiguous designation of the controlled vehicle even in heavy traffic, ensuring the image document clearly shows the vehicle without overlapping with others, thus facilitating accurate automatic reporting.
Implementation Method 1
a remote sensor comprising a radar and/or lidar sensor
Implementation Method 2
a remote sensor comprising a radar and/or lidar sensor
Implementation Method 3
a camera device such as an image or video sensor, in particular a camera
Data Source
Figure 1~2
Figure 3~4
Figure 5~6a
AI summary
Method of generating an image document, wherein a vehicle (Vc) controlled by a vehicle control system and travelling on a traffic lane is designated, the image document comprising: - a partially blurred situation image (Is), a blurred area (Zf) extending around a two-dimensional frame (Ca_c) of dimensions specific to the controlled vehicle of the situation image (Is) of the image document and; - a visible designation frame (Cd_c) superimposing the situation image (Is), the designation frame (Cd_c) being located inside said two-dimensional frame (Ca_c).