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» Appearance-based mapping using minimalistic sensor models
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ICRA
2007
IEEE
165views Robotics» more  ICRA 2007»
15 years 3 months ago
Probabilistic Appearance Based Navigation and Loop Closing
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
Mark Cummins, Paul M. Newman
80
Voted
ALGOSENSORS
2008
Springer
14 years 11 months ago
Target Counting under Minimal Sensing: Complexity and Approximations
We consider the problem of counting a set of discrete point targets using a network of sensors under a minimalistic model. Each sensor outputs a single integer, the number of disti...
Sorabh Gandhi, Rajesh Kumar 0003, Subhash Suri
SENSYS
2003
ACM
15 years 2 months ago
Tracking a moving object with a binary sensor network
In this paper we examine the role of very simple and noisy sensors for the tracking problem. We propose a binary sensor model, where each sensor’s value is converted reliably to...
Javed A. Aslam, Zack J. Butler, Florin Constantin,...
AAAI
2012
12 years 12 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
IPSN
2003
Springer
15 years 2 months ago
Coverage, Exploration, and Deployment by a Mobile Robot and Communication Network
We consider the problem of coverage and exploration of an unknown dynamic environment using a mobile robot(s). The environment is assumed to be large enough such that constant moti...
Maxim A. Batalin, Gaurav S. Sukhatme