研究目的
Investigating the motion tolerance for the dynamic object recognition using visible light IDs in terms of noise accumulation of image sensor due to the spatial averaging of neighboring pixels.
研究成果
The spatial averaging process in the image sensor suppresses the degradation of OSNR caused by spatial drifts of the visible light ID at the expense of the spatial resolution and achievable OSNR under weak motions. High-speed extraction and tracing of objects labeled by the visible light ID are suitable for keeping a high OSNR in the ID recognition under an assist of the spatial averaging process.
研究不足
The study focuses on a simplified situation and assumes non-removable temporal noises uniformly exist in each pixel of the image sensor. The impact of more complex noise patterns and environmental factors is not considered.
1：Experimental Design and Method Selection:
The study numerically investigates the dynamic recognition of objects labeled by visible light IDs, focusing on the optical signal-to-noise ratio in received optical signals under relative motion.
2：Sample Selection and Data Sources:
A simplified situation where non-removable temporal noises uniformly exist in each pixel of the image sensor is considered.
3：List of Experimental Equipment and Materials:
Image sensor mounted on an autonomous robot, visible light IDs.
4：Experimental Procedures and Operational Workflow:
The signal is detected after averaging in the circled region with a radius of rave. The OSNR for the received signal was recalculated by using spatially averaged values.
5：Data Analysis Methods:
The OSNR was calculated using a formula that considers the spatial distribution of Gaussian with a half-width at half-maximum of rgauss and maximum optical signal-to-noise ratio of 20 dB.
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