Visibility reduction based performance evaluation of vision-based safety sensors

Kim, Bong Keun; Sumi, Y.; Sagawa, Ryusuke; Kosugi, Ken’ichirou; Mochizuki, Shigeto

doi:10.1109/iros.2015.7354045

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…We have developed artificial sunlight lampheads for a light interference test method [13] and a simulated-snow chamber to reproduce the visibility reduction due to snowfall at room temperature [14]. To investigate the sensor effects of visibility reduction due to fog, basic experiments were conducted, and the results were published [15].…”

Section: Our Previous Workmentioning

confidence: 99%

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Evaluation of Detection Performance for Safety-Related Sensors in Low-Visibility Environments

Sumi

Kim

Kodama³

2021

IEEE Sensors J.

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This paper addresses the evaluation of object detection performance for non-contact safety-related sensors in low-visibility environments due to adverse weather conditions. An evaluation metric, MOT (Minimum Object-detectable Transmittance), is proposed to quantitatively evaluate the influence of the low-visibility environments on the object detection performance. Traditionally, the Meteorological Optical Range (MOR) has been used for this purpose. However, MOR is not appropriate for the sensor evaluation because it is a meteorological metric which is optimized for human eyes to estimate the distance at which a person can see clearly through an atmosphere. On the other hand, MOT is a physical and optical measure that quantifies the relationship between the spatial transmittance and the distance at which a sensor can detect a specified object. It is specialized for the sensor evaluation and can express the sensor characteristics in the low-visibility environments at each measurement distance. The usefulness of MOT will be demonstrated by presenting the experimental results of MOT measurements for various sensor devices in a fog space reproduced with environmental simulator equipment.

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Section: Our Previous Workmentioning

confidence: 99%

“…4. For measuring the transmittance values, we used the spatial spectral transmittance meter which consists of a projector and a receiver placed at both ends of the test space at intervals of 6.71 meters [13,14].…”

Section: A Experiments Environmentmentioning

confidence: 99%

Evaluation of Detection Performance for Safety-Related Sensors in Low-Visibility Environments

Sumi

Kim

Kodama³

2021

IEEE Sensors J.

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Impact of Rainfall on the Detection Performance of Non-Contact Safety Sensors for UAVs/UGVs

Sumi,

Kim,

Ogure

et al. 2024

Sensors

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This study comprehensively investigates how rain and drizzle affect the object-detection performance of non-contact safety sensors, which are essential for the operation of unmanned aerial vehicles and ground vehicles in adverse weather conditions. In contrast to conventional sensor-performance evaluation based on the amount of precipitation, this paper proposes spatial transmittance and particle density as more appropriate metrics for rain environments. Through detailed experiments conducted under a variety of precipitation conditions, it is shown that sensor performance is significantly affected by the density of small raindrops rather than the total amount of precipitation. This finding challenges traditional sensor-evaluation metrics in rainfall environments and suggests a paradigm shift toward the use of spatial transmittance as a universal metric for evaluating sensor performance in rain, drizzle, and potentially other adverse weather scenarios.

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Visibility reduction based performance evaluation of vision-based safety sensors

Cited by 2 publications

References 2 publications

Evaluation of Detection Performance for Safety-Related Sensors in Low-Visibility Environments

Evaluation of Detection Performance for Safety-Related Sensors in Low-Visibility Environments

Impact of Rainfall on the Detection Performance of Non-Contact Safety Sensors for UAVs/UGVs

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