Distance Image Pixel Reduction for High-Speed Body Detection
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Solution Overview
Problem
Existing image processing systems for automotive applications face challenges in maintaining high accuracy for detecting bodies at high speeds, leading to decreased detection precision.
Innovation Solution
An image processing apparatus is developed, incorporating a stereo camera system with a reducer to reduce pixel numbers in distance images, a detector to identify bodies, and a rejecter to filter data based on pixel density within the vehicle's travel area, enhancing detection accuracy at high speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If pixel numbers in distance images are reduced to improve processing speed, then productivity is improved, but measurement precision deteriorates
Solution Approach 1:
The image processing is segmented into multiple stages: initial full-resolution processing for critical regions, and reduced-resolution processing for other regions. This allows the system to maintain high detection accuracy where needed while improving overall processing speed through selective downsampling of less critical image areas.
Solution Approach 2:
Different processing qualities are applied to different regions of the image based on their importance. Critical regions (such as areas with detected objects or regions of interest) are processed at full resolution to maintain measurement precision, while non-critical regions are processed at reduced resolution to improve processing speed. This local quality differentiation resolves the contradiction between speed and accuracy.
2Speed
If high-speed detection is implemented to improve response time, then speed is improved, but detection precision deteriorates
Solution Approach 1:
The system performs preliminary processing at reduced resolution to quickly identify potential objects and regions of interest. Once these are identified, more precise processing is applied specifically to those regions. This preliminary action approach enables fast response time for initial detection while maintaining high precision for final confirmation, resolving the contradiction between speed and detection precision.
3Measurement precision
If full-resolution data is processed to maintain detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The processing system is segmented into multiple resolution levels and processing pipelines. Full-resolution processing is applied only to necessary regions, while other regions use reduced-resolution processing. This segmentation reduces the overall computational complexity and device requirements while maintaining detection accuracy where it matters most.
Data Source
AI summary
An image processing apparatus includes a reducer configured to reduce a number of pixels in a distance image having pixel values corresponding to a distance of a body positioned within a predetermined distance from a plurality of imagers installed in a mobile body, according to frames respectively captured by the plurality of imagers; a detector configured to detect the body based on the reduced distance image; and a rejecter configured to reject data of the detected body, based on a density of pixels having a value of the distance with respect to the detected body in an area overlapping a travel area in which the mobile body travels.