Validation of Fiducial Marker Systems Performance with Rescue Robot Servosila Engineer Onboard Camera in Laboratory Environment

Tsoy, Tatyana; Zakiev, Aufar; Shabalina, Ksenia; Safin, Ramil; Magid, Evgeni; Saha, Subir Kumar

doi:10.1109/dese.2019.00096

Cited by 7 publications

(1 citation statement)

References 18 publications

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“…It can receive real-time images from the navigation camera, detect 2D fiducial markers in the images, and control steering depending on the marker location and angle relative to the camera frame. Specifically, it automatically recognizes Chilitag (Bonnard et al 2013); Chilitag Technology Co., Ltd., Kaohsiung city, Taiwan), a fiducial marker system used similarly in other studies in robotics (Tan et al 2016, Tsoy et al 2019. The software library for marker recognition used with OpenKAI in this study is available as open-source software (https://github.…”

Section: Control Softwarementioning

confidence: 99%

Development of a high-throughput field phenotyping rover optimized for size-limited breeding fields as open-source hardware

et al. 2022

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Phenotyping is a critical process in plant breeding, especially when there is an increasing demand for streamlining a selection process in a breeding program. Since manual phenotyping has limited efficiency, highthroughput phenotyping methods are recently popularized owing to progress in sensor and image processing technologies. However, in a size-limited breeding field, which is common in Japan and other Asian countries, it is challenging to introduce large machinery in the field or fly unmanned aerial vehicles over the field. In this study, we developed a ground-based high-throughput field phenotyping rover that could be easily introduced to a field regardless of the scale and location of the field even without special facilities. We also made the field rover open-source hardware, making its system available to public for easy modification, so that anyone can build one for their own use at a low cost. The trial run of the field rover revealed that it allowed the collection of detailed remote-sensing images of plants and quantitative analyses based on the images. The results suggest that the field rover developed in this study could allow efficient phenotyping of plants especially in a small breeding field.

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Section: Control Softwarementioning

confidence: 99%