Obstacle Detection Device Using Dual Camera Processing
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Solution Overview
Problem
Existing obstacle detection systems for vehicle parking face a significant increase in calculation process load after the vehicle stops, leading to inefficient obstacle information processing.
Innovation Solution
An obstacle detection device equipped with a first camera for a forward or rearward view, a second camera for a sideward view, a parking space detection unit, a memory unit, a motion acquisition unit, and an obstacle calculation unit that calculates obstacle information based on images from the second camera, with a processing area setting unit controlling the calculation using real-space parking space data and vehicle motion information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If obstacle detection is started after the vehicle stops at a predetermined position, then obstacle detection accuracy is improved, but calculation process load increases enormously
Solution Approach 1:
The patent divides the image processing into two distinct phases: a first processing phase when the vehicle is moving that performs basic obstacle detection, and a second processing phase when the vehicle is stopped that performs detailed obstacle information calculation. This segmentation allows the system to maintain detection accuracy while reducing overall computational load by performing intensive calculations only when necessary.
Solution Approach 2:
The system performs preliminary obstacle detection during the vehicle's movement using the first camera before the vehicle stops. This preliminary action identifies potential obstacles in advance, so that when the vehicle stops and the second camera activates for detailed calculation, the computational burden is already reduced to only the areas containing detected obstacles rather than processing the entire image.
2Area of stationary object
If the processing area is expanded to cover the entire parking space, then obstacle detection coverage is improved, but calculation time increases
Solution Approach 1:
The patent applies local quality by adjusting the processing area dynamically based on the vehicle's motion state. When the vehicle is moving, the processing area is limited to specific regions of interest. When the vehicle stops, the processing area is expanded to cover the entire parking space. This localized adjustment of processing scope ensures comprehensive coverage when needed while minimizing calculation time during movement.
Solution Approach 2:
The processing area is made dynamic rather than static, changing its scope based on the vehicle's motion state detected by the motion acquisition unit. The system transitions between different processing area configurations: a restricted area during movement and a full parking space area when stopped, optimizing both coverage and efficiency for each operational phase.
3Area of stationary object
If multiple cameras are used for comprehensive viewing, then detection coverage is improved, but device complexity increases
Solution Approach 1:
The patent merges the functions of two cameras into a coordinated detection system. The first camera (forward/rearward view) handles obstacle detection during vehicle movement, while the second camera (sideward view) handles detailed obstacle information calculation when the vehicle is stopped. This merging of complementary camera functions achieves comprehensive detection coverage while managing system complexity through functional integration rather than independent operation of multiple cameras.
Solution Approach 2:
Each camera in the system is designed with multi-functionality. The first camera not only detects obstacles during movement but also provides initial positioning information. The second camera not only calculates detailed obstacle information but also verifies detections from the first camera. This universal application of both cameras across different operational phases maximizes detection coverage while optimizing resource utilization.
Data Source
AI summary
The obstacle detection device comprises: a first camera installed on a moving vehicle used for photographing a frontward or rearward view of the vehicle; a second camera installed on the vehicle used for photographing a sideward view of the vehicle; a parking space detection unit for detecting a parking space on the basis of an image obtained by photographing by the first camera; a memory unit for storing a real-space area of the parking space; a motion acquisition unit for acquiring information about behaviors of the vehicle; an obstacle calculation unit for calculating information about an obstacle present in the vicinity of the parking space on the basis of multiple images obtained by photographing by the second camera at different points in time; and a processing area setting unit for controlling, the calculation by the obstacle calculation unit.