@inproceedings{faf513337e4c458c9f7635201bf8b402,
title = "Background subtraction framework for mobile 3d sensor data",
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.",
keywords = "3D LIDAR, Background subtraction, Mobile sensor platform",
author = "Seongjo Lee and Seoungjae Cho and Hieu, {Nguyen Trong} and Phuong Chu and Kyungeun Cho",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 11th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2016 ; Conference date: 19-12-2016 Through 21-12-2016",
year = "2017",
doi = "10.1007/978-981-10-3023-9_168",
language = "English",
isbn = "9789811030222",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1086--1090",
editor = "Vincenzo Loia and {Jong Hyuk Park}, {James J.} and Gangman Yi and Yi Pan",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE2016",
address = "Germany",
}