Abstract
The latest developments in artificial intelligence and sensors have been stimulating research on intelligent service robots and self-driving car technology. Such service robots and self-driving cars must take actions according to the situation by detecting human beings or dynamic environments. This paper proposes a framework that eliminates the background area to facilitate detection of moving robots or vehicles in a dynamic environment. The approach proposed in this paper can eliminate the background at high speed by analyzing an accumulation of 3D data through parallel processing using the voxel data.
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Acknowledgements
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning (NRF-2015R1A2A2A01003779) and the National Program for Excellence in SW (R7116-16-1014) supervised by the IITP(Institute for Information & Communications Technology Promotion).
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Lee, S., Cho, S., Hieu, N.T., Chu, P., Cho, K. (2017). Background Subtraction Framework for Mobile 3D Sensor Data. In: Park, J., Pan, Y., Yi, G., Loia, V. (eds) Advances in Computer Science and Ubiquitous Computing. UCAWSN CUTE CSA 2016 2016 2016. Lecture Notes in Electrical Engineering, vol 421. Springer, Singapore. https://doi.org/10.1007/978-981-10-3023-9_168
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DOI: https://doi.org/10.1007/978-981-10-3023-9_168
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