Dual-Camera Stop Line Detection Under Preceding Vehicle Occlusion
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Solution Overview
Problem
Existing road surface marking detection systems, such as those described in JP 2007-257305 A, face challenges in detecting stop lines when a preceding vehicle obstructs the view of the camera, leading to potential failure in detecting road surface markings as the vehicle approaches.
Innovation Solution
A dual-camera system is employed, where a first camera captures images of the forward area and a second camera, positioned lower and closer to the vehicle, captures images of a road surface region closer to the vehicle, allowing for reliable detection of road surface markings even when obstructed by a preceding vehicle, with a processor controlling notifications to alert the driver based on detected markings and vehicle speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single camera is used to detect road surface markings, then the device complexity is low, but the detection reliability deteriorates when the view is obstructed by a preceding vehicle
Solution Approach 1:
The detection system is segmented into multiple cameras with different functions: a first camera for detecting temporary stop signs and a second camera for detecting road surface markings. This segmentation allows each camera to specialize in specific detection tasks, improving overall detection reliability while managing system complexity through functional division.
Solution Approach 2:
The second camera acts as an intermediary detection device that captures road surface markings in a different angle of view. When the first camera's view is obstructed, the second camera provides alternative detection capability, serving as a mediator to ensure continuous detection reliability.
2Measurement precision
If the first camera captures images at a higher position, then the angle of view for detecting temporary stop signs is improved, but the ability to detect road surface markings deteriorates due to obstruction
Solution Approach 1:
The system transitions from a single viewpoint to multiple viewpoints by positioning cameras at different heights and angles. The first camera is positioned higher for detecting temporary stop signs, while the second camera is positioned lower to detect road surface markings, creating a multi-dimensional detection approach that overcomes view obstruction.
Solution Approach 2:
Each camera is optimized for its specific detection function with appropriate positioning: the first camera is positioned for optimal detection of temporary stop signs, while the second camera is positioned specifically to capture road surface markings. This local optimization ensures each detection task achieves the best possible quality without compromising the other.
3Measurement precision
If a dual-camera system is implemented, then the detection accuracy is improved, but the device complexity increases
Solution Approach 1:
Both cameras contribute to the overall detection system with complementary functions. The first camera detects temporary stop signs while the second camera detects road surface markings, creating a universal detection system that handles multiple detection tasks. This multi-functionality justifies the increased device complexity by providing comprehensive detection capabilities.
Solution Approach 2:
The detection results from both cameras are merged and integrated by the processor to provide comprehensive detection information. The first camera's detection of temporary stop signs and the second camera's detection of road surface markings are combined to achieve accurate and reliable detection, making the dual-camera system more effective than the sum of individual cameras.
Data Source
AI summary
A road surface marking detection device is applied to a vehicle that includes a first camera that captures an image of at least an area forward of the vehicle, and a second camera that captures an image of at least an area forward of the vehicle and is able to capture a road surface region closer to the vehicle than a road surface region of which the image captured by the first camera. The road surface marking detection device includes a processor that, when a temporary stop sign forward of the vehicle is detected by the first camera, executes a process of detecting a road surface marking corresponding to the detected temporary stop sign by the second camera.


