Dynamic Camera Selection for Parking Space Detection
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Solution Overview
Problem
Conventional parking assistance systems face increased processing loads as the number of cameras used for detecting parking compartments increases, leading to reduced detection accuracy and efficiency.
Innovation Solution
A parking space recognition apparatus that dynamically selects cameras and adjusts detection modes based on the vehicle's traveling state, using an image acquisition part, detection setter, detection area specifier, and parking space detector to optimize image processing and reduce processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If four cameras are used to detect parking compartments from front, rear, left and right sides, then detection coverage is improved, but processing load increases
Solution Approach 1:
The system dynamically adjusts the number of active cameras based on vehicle travel state. During traveling state, only necessary cameras are activated to reduce processing load. During stationary state, all four cameras are activated to maximize detection coverage. This dynamic configuration resolves the contradiction between continuous high coverage and reduced processing load.
Solution Approach 2:
The system changes the operational parameters of the camera system by switching between different camera subsets based on vehicle state. The detection mode parameter is adjusted between first mode (wider detection area, lower accuracy) and second mode (narrower detection area, higher accuracy), allowing the system to maintain adequate performance while reducing processing requirements during travel.
2Area of stationary object
If detection area is widened to detect parking spaces in all directions, then detection coverage is improved, but processing time increases
Solution Approach 1:
The detection area is dynamically adjusted based on vehicle state. In first detection mode during traveling, a wider detection area is used to capture parking spaces in all directions. In second detection mode during stationary state, the detection area is narrowed to focus on relevant regions, reducing processing time while maintaining detection effectiveness.
Solution Approach 2:
The detection process is segmented into different modes with different detection areas. The system divides the overall detection task into broader scanning (first mode) and focused verification (second mode), allowing efficient processing by handling different spatial regions with appropriate detection strategies.
Data Source
AI summary
To provide a parking space recognition apparatus that can reduce a processing load for detecting the parking space. The parking space recognition apparatus recognizes a parking space by using images generated by four cameras to be mounted on a vehicle. In the parking space recognition apparatus, an image acquisition part acquires the images generated by the cameras. A detection setter selects the cameras to be used for detecting the parking space from among the cameras based on a traveling state of the vehicle. A parking space detector acquires the images generated by the cameras selected by the detection setter from the image acquisition part, and detects the parking space from the acquired images.