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» Implementing the TEA algorithm on sensors
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ICRA
2002
IEEE
147views Robotics» more  ICRA 2002»
15 years 6 months ago
Auxiliary Particle Filter Robot Localization from High-Dimensional Sensor Observations
We apply the auxiliary particle filter algorithm of Pitt and Shephard (1999) to the problem of robot localization. To deal with the high-dimensional sensor observations (images) ...
Nikos A. Vlassis, Bas Terwijn, Ben J. A. Krös...
121
Voted
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 9 months ago
Detecting Separation in Robotic and Sensor Networks
In this paper we consider the problem of monitoring detecting separation of agents from a base station in robotic and sensor networks. Such separation can be caused by mobility an...
Chenda Liao, Harshavardhan Chenji, Prabir Barooah,...
EWSN
2008
Springer
16 years 1 months ago
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks
Clustering is an important mechanism in large multi-hop wireless sensor networks for obtaining scalability, reducing energy consumption and achieving better network performance. Mo...
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
RAS
2006
123views more  RAS 2006»
15 years 1 months ago
Planning exploration strategies for simultaneous localization and mapping
In this paper, we present techniques that allow one or multiple mobile robots to efficiently explore and model their environment. While much existing research in the area of Simul...
Benjamín Tovar, Lourdes Muñoz-G&oacu...
126
Voted
ICRA
2002
IEEE
133views Robotics» more  ICRA 2002»
15 years 6 months ago
Stereo-Based Obstacle Avoidance in Indoor Environments with Active Sensor Re-Calibration
We present a stereo-based obstacle avoidance system for mobile vehicles. The system operates in three steps. First, it models the surface geometry of supporting surface and remove...
Darius Burschka, Stephen Lee, Gregory D. Hager