Buffered VSLAM Image Extraction for Stable Position Detection
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Solution Overview
Problem
Conventional VSLAM processes often result in unstable detection of surrounding object and self-position due to insufficient position information, leading to potential inaccuracies.
Innovation Solution
An information processing device with an image buffer and VSLAM processor that buffers and processes image data from multiple imaging units, using extracted image data to stabilize the VSLAM process by integrating position information from different angles and adjusting frame rates based on vehicle state and passenger instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If VSLAM process uses standard frame rate processing, then processing speed is maintained, but position information becomes insufficient and detection stability deteriorates
Solution Approach 1:
The system dynamically adjusts the frame rate of image data supplied to the VSLAM processor based on the moving body's state. When the moving body is stationary or moving slowly, the frame rate is increased to provide more position information for stable detection. When the moving body moves quickly, the frame rate is reduced to maintain processing speed. This dynamic adjustment resolves the contradiction between detection stability and processing speed.
Solution Approach 2:
The system changes the parameter of frame rate according to the moving body's state. By adjusting this parameter, the system optimizes the balance between having sufficient position information (higher frame rate) and maintaining processing speed (lower frame rate), thereby resolving the technical contradiction.
2Reliability
If VSLAM process uses higher frame rate, then position information becomes sufficient and detection stability improves, but processing load increases and speed decreases
Solution Approach 1:
The system dynamically adjusts the frame rate based on the moving body's state. When the moving body is stationary or moving slowly, there is more time for processing, so a higher frame rate can be used to improve detection stability without excessive time loss. When the moving body moves quickly, processing time is constrained, so the frame rate is reduced. This dynamic adaptation resolves the contradiction between detection stability and processing time.
Solution Approach 2:
The frame rate parameter is adjusted according to the moving body's state and processing capabilities. This parameter change allows the system to optimize the balance between obtaining sufficient position information (higher frame rate) and minimizing processing time, thereby resolving the technical contradiction.
3Measurement precision
If image data from multiple imaging units is processed simultaneously, then position information accuracy improves, but device complexity increases
Solution Approach 1:
The system segments the processing of image data from multiple imaging units by selecting and processing images from specific imaging units based on the moving body's state. Instead of processing all imaging units simultaneously, the system divides the processing task among different imaging units at different times, thereby improving position information accuracy while managing system complexity.
Solution Approach 2:
The system dynamically selects which imaging units to process based on the moving body's state. This dynamic selection approach allows the system to utilize multiple imaging units for improved accuracy when needed, while reducing complexity by not processing all units simultaneously in all conditions.
Data Source
AI summary
According to one embodiment, an information processing device includes a buffer and a VSLAM processor. The buffer buffers image data of surroundings of a moving body obtained by an imaging unit of the moving body, and transmits extracted image data extracted based on extracted image determination information from among the buffered image data. The VSLAM processor executes a VSLAM process by using the extracted image data.