Intersecting Road Detection via Wall High Edge Pixels
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Solution Overview
Problem
Existing technologies face challenges in accurately detecting intersecting roads due to reliance on GPS and map information, which can be costly and prone to errors, and also struggle when clear partition lines are absent on the host vehicle's road.
Innovation Solution
An intersecting road detection device that uses a processor to identify road and wall pixels in an image, determining the existence of an intersecting road by analyzing wall high edge portion pixels and determining if adjacent pixels are road pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If GPS and map information are used to detect intersecting roads, then the detection coverage is improved, but the cost increases and position accuracy deteriorates due to GPS misalignment
Solution Approach 1:
The patent replaces GPS-based detection with an image processing system that uses a camera to capture road images and identifies intersecting roads through image analysis. This substitution eliminates GPS misalignment issues while maintaining detection coverage by visually recognizing road patterns and intersections in the captured images.
Solution Approach 2:
The patent creates a visual copy of the road environment through image capture and processes this copy to detect intersecting roads. By working with image data rather than GPS coordinates, the system achieves accurate intersection detection without the positioning errors associated with GPS misalignment.
2Ease of manufacture
If partition lines are used to detect intersecting roads, then the detection method is simple, but the detection accuracy deteriorates when clear partition lines are not provided
Solution Approach 1:
The patent changes the detection parameters from relying on specific visual features like partition lines to analyzing multiple image parameters including road surface patterns, color variations, and geometric configurations. This allows the system to detect intersecting roads accurately even when clear partition lines are absent, while maintaining relative simplicity through automated image processing.
Solution Approach 2:
The patent transitions from two-dimensional partition line detection to three-dimensional image analysis by utilizing height information and spatial relationships in the captured image. This dimensional expansion enables the system to identify intersecting roads through multiple visual cues rather than relying solely on the presence of partition lines.
3Measurement precision
If autofocus device measurement results are used to detect lateral roads, then the detection precision is improved, but the system fails when autofocus information is not included in the shot image data
Solution Approach 1:
The patent develops an image processing system that can detect intersecting roads using multiple different data sources and methods. The system is designed to work with standard image data from cameras without requiring specialized autofocus information, making it universally applicable to various camera systems while maintaining detection precision through robust image analysis algorithms.
Data Source
AI summary
A intersecting road detection device acquires information indicating road pixels corresponding to roads and wall pixels corresponding to walls included in a host vehicle front image, identify wall bottom portion pixels which are portions adjacent to pixels corresponding to host vehicle travelling road included in the road pixels, identify wall high portion pixels which are portions higher than height of the host vehicle travelling road by a predetermined value or more, identify wall high edge portion pixels which are portions adjacent to pixels other than the wall pixels, and determine that an intersecting road which is a road intersecting the host vehicle travelling road exists in a position of the pixels other than the wall pixels which are adjacent to the wall high edge portion pixels when the pixels other than the wall pixels are the road pixels.