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005			20231030040303.0
035			_a(RuTPU)RU\TPU\network\3365
035			_aRU\TPU\network\3358
090			_a638968
100			_a20150217a2014 k y0engy50 ba
101	0		_aeng
105			_aa z 101zy
135			_adrcn ---uucaa
181		0	_ai
182		0	_ab
200	1		_aDevelopment of GPU-accelerated localization system for autonomous mobile robot _fM. N. Rud, A. R. Pantiykchin
203			_aText _celectronic
300			_aTitle screen
320			_a[References: 5 tit.]
330			_aWe present a localization system for autonomous mobile robot, that operates in conditions of well - known environment. In our work we use particle - based Monte - Carlo localization. This algorithm has many applications in mobile robotics, but it is computationally expensive. Due to high level of parallelism in this algorithm, we had an opportunity to accelerate its execution on graphical processing unit (GPU) using CUDA - parallel computing architecture from NVIDIA Corporation. We use Microsoft Kinect sensor and robot odometry to perform indoor localization. Developed system was tested on three-wheeled mobile robot. NVIDIA Jetson TK1 board performed all necessary computations.
333			_aРежим доступа: по договору с организацией-держателем ресурса
463		0	_0(RuTPU)RU\TPU\network\3200 _tMechanical Engineering, Automation and Control Systems (MEACS) _oproceedings of the International Conference, Tomsk, 16-18 October, 2014 _fNational Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE) _v[4 p.] _d2014
610	1		_aэлектронный ресурс
610	1		_aтруды учёных ТПУ
610	1		_amobile robot
610	1		_aMonte-Carlo localization
610	1		_aGPU acceleration
610	1		_aCUDA
610	1		_aKinect
610	1		_aNVIDIA Jetson TKl
610	1		_aмобильные роботы
610	1		_aлокализация
610	1		_aробототехника
610	1		_aграфические процессоры
610	1		_aпараллельные вычисления
700		1	_aRud _bM. N.
701		1	_aPantiykchin _bA. R.
801		2	_aRU _b63413507 _c20161226 _gRCR
856	4		_uhttp://dx.doi.org/10.1109/MEACS.2014.6986850
942			_cCF