In-Vehicle Camera Height Calculation via Road Feature Points
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Solution Overview
Problem
Existing methods for calculating the height of an in-vehicle camera from a road surface are inaccurate and difficult to measure, especially after a traffic accident, as they require pre-measurement and can be disrupted by the accident itself.
Innovation Solution
A camera height calculation method using an image processing apparatus that extracts feature points from captured images, identifies road surface feature points, and calculates the camera's height based on their positions in a three-dimensional coordinate system, employing SLAM technology and semantic segmentation for precise identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-measurement of camera height is performed, then camera height can be obtained, but the measurement becomes difficult and inaccurate after traffic accidents
Solution Approach 1:
The patent performs camera height measurement automatically during normal driving operations before accidents occur. The system continuously captures images and extracts feature points to calculate camera height, so the measurement is already established and stored prior to any accident, eliminating the need for post-accident measurement.
Solution Approach 2:
The system uses the in-vehicle camera itself to measure its own height by extracting feature points from captured images of the road surface and surrounding environment. The camera captures images, the processor extracts feature points, and calculates the camera height automatically without requiring external measurement equipment or manual intervention.
2Measurement precision
If feature points are extracted from captured images to calculate camera height, then accurate height calculation is achieved, but the process becomes complex
Solution Approach 1:
The patent extracts only the necessary feature points from captured images that are relevant for height calculation, such as feature points on the road surface and known objects with predetermined heights. By selectively extracting only these critical feature points rather than processing all image data, the system achieves accurate height measurement while reducing computational complexity.
Solution Approach 2:
The system uses naturally occurring or easily identifiable feature points in the environment (road markings, traffic signs, building features) as disposable reference objects for measurement. These feature points are temporarily used for calculation and then discarded, avoiding the need for permanent, complex measurement infrastructure.
Data Source
AI summary
A camera height calculation method that causes a computer to execute a process, the process includes obtaining one or more images captured by an in-vehicle camera, extracting one or more feature points from the one or more images, identifying first feature points that exist over a road surface from the one or more feature points, and calculating a height of the in-vehicle camera from the road surface, based on positions of the identified first feature points.