Parking Line Detection Prediction for Autonomous Driving
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Solution Overview
Problem
Existing image processing devices for automatic driving systems require prolonged processing time to detect delimiting lines in continuously captured images, which affects detection accuracy and efficiency.
Innovation Solution
An image processing device that sets a first area for detecting delimiting lines in an initial image and predicts a second area for subsequent images based on the first area's position, shutter speed, and vehicle movement, allowing selective edge emphasizing and detection only within predicted areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image processing device searches the entire area of each continuously captured image to detect delimiting lines, then detection accuracy is maintained, but processing time is prolonged
Solution Approach 1:
The patent divides the image processing task into two stages: first, a rough detection phase that processes the entire image to identify potential delimiting line areas; second, a precise detection phase that focuses only on the predicted areas where delimiting lines are likely to be located. This segmentation allows the system to maintain detection accuracy while reducing overall processing time by avoiding exhaustive search of the entire image in every frame.
Solution Approach 2:
The patent performs preliminary detection in the first continuously captured image to identify areas containing delimiting lines before processing subsequent images. Based on this preliminary action and the vehicle's movement information, the system predicts where delimiting lines will appear in future images, allowing it to focus processing resources on these predicted areas rather than searching the entire image, thus reducing processing time while maintaining detection accuracy.
2Reliability
If the image processing device processes all continuously captured images in full detail, then detection reliability is improved, but processing efficiency deteriorates
Solution Approach 1:
The patent applies partial action by processing only the necessary portions of each image in detail. After initial full-image processing to establish baseline detection reliability, the system uses vehicle movement data to predict delimiting line positions in subsequent images and processes only these predicted areas with high detail, while other areas receive minimal or no processing. This approach maintains detection reliability for the critical regions while significantly improving overall processing efficiency.
Solution Approach 2:
The patent makes the processing scope dynamic by adjusting the area to be processed based on vehicle movement information. The processing region expands or contracts depending on the vehicle's speed, direction, and acceleration, allowing the system to maintain reliable detection in areas where delimiting lines are likely to appear while reducing processing effort in areas where they are unlikely to be found, thus improving processing efficiency without sacrificing reliability.
Data Source
AI summary
An image processing device includes: a setting unit configured to set an area, as a first area, in which at least one delimiting line for delimiting a parking space is detected in a first image of plural images continuously captured while moving; and a prediction unit configured to predict, based on the first area, a second area in which the at least one delimiting line is to be detected in at least one second image of the plural images, the at least one second image being captured later in time than the first image.