Abstract
Accurate and reliable door detection comprise a critical cornerstone for nowadays robots aiming to offer advanced features and services. At the same time, the range of robotic platforms for indoor scenarios is continuously expanding, emphasizing on the use of low cost, versatile components able to boost widespread use of such solutions. However, respective door detection algorithms have to address specific challenges such as, not relying on specialized expensive sensors, being able to offer robust and accurate operation based on commodity cameras as well as efficient execution on low resource embedded systems. Driven by aforementioned observations in this paper the design and development of a practical and reliable door detection methodology is presented based solely on typical off the shelf web-camera, while posing minimum requirements on the height or angle it is mounted. Furthermore, a critical contribution of this paper is the experimental evaluation of the developed algorithm on popular embedded systems that are based on Micro Controller Units (MCUs) commonly found on contemporary robotic platforms.
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Acknowledgment
This study is part of the collaborative project RADIO which is funded by the European Commission under Horizon 2020 Research and Innovation Programme with Grant Agreement Number 643892.
Open Data Access.
All images used as training and test sets throughout this paper are owned by the Embedded System Design and Application Lab (http://esda-lab.cied.teiwest.gr). The training/test sets are offered to the research community for open access (https://github.com/ESDA-LAB/Door-detection) under the requirement to reference properly the current paper whenever they are published, presented or announced.
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Spournias, A., Skandamis, T., Antonopoulos, C.P., Voros, N.S. (2017). Door Detection Algorithm Development Based on Robotic Vision and Experimental Evaluation on Prominent Embedded Systems. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2017. Lecture Notes in Computer Science(), vol 10459. Springer, Cham. https://doi.org/10.1007/978-3-319-66471-2_27
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DOI: https://doi.org/10.1007/978-3-319-66471-2_27
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