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2007
159views Robotics» more  RSS 2007»
13 years 11 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...
GIS
2010
ACM
13 years 8 months ago
Efficient indexing structure for scalable processing of spatial alarms
Spatial Alarms are reminders for mobile users upon their arrival of certain spatial location of interest. Spatial alarm processing requires meeting two demanding objectives: high ...
Myungcheol Doo, Ling Liu, Nitya Narasimhan, Venu V...
ICPP
2003
IEEE
14 years 3 months ago
Towards Real-time Parallel Processing of Spatial Queries
Spatial databases are entering an era of mass deployment in various real-life applications, especially mobile and location-based services. The real-time processing of spatial quer...
Haibo Hu, Manli Zhu, Dik Lun Lee
PETRA
2010
ACM
14 years 2 months ago
Opportunistic strategies for lightweight signal processing for body sensor networks
We present a mobile platform for body sensor networking based on a smartphone for lightweight signal processing of sensor mote data. The platform allows for local processing of da...
Edmund Y. W. Seto, Eladio Martin, Allen Y. Yang, P...
ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
13 years 8 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...