1 A Novel Approach for Failure Localization in All-Optical Mesh Networks J´anos Tapolcai ∗, Bin Wu† , Pin-Han Ho† , and Lajos R´onyai ‡ Dept. of Telecommunications and Media Informatics, Budapest University of

Source URL: www.sztaki.hu

Experiments with Underwater Robot Localization and Tracking Peter Corke† , Carrick Detweiler∗ , Matthew Dunbabin† , Michael Hamilton◦ ,Daniela Rus∗ and Iuliu Vasilescu∗ † Autonomous Systems Lab CSIRO ICT Ce

Source URL: cse.unl.edu

Photonic engineering As a first step toward measuring localization, Segev and company prepared a 2D photonic crystal—a periodic lattice that diffracts light in much the same way that a semiconductor diffracts electrons

Source URL: www.phy.ohiou.edu

Robot Localization Using Soft Object Detection

Source URL: rpg.ifi.uzh.ch

• Feature detection
• Outline of object recognition
• Heat map
• Speeded up robust features
• Color histogram
• Image segmentation
• Object detection
• Conference on Computer Vision and Pattern Recognition

Ball Localization for Robocup Soccer using Convolutional Neural Networks Daniel Speck, Pablo Barros, Cornelius Weber, Stefan Wermter University of Hamburg, Department of Informatics, Knowledge Technology, WTM Hamburg Bit

Source URL: robocup.informatik.uni-hamburg.de

Platypus — Indoor Localization and Identification through Sensing Electric Potential Changes in Human Bodies Tobias Grosse-Puppendahl1 , Xavier Dellangnol2 , Christian Hatzfeld2 , Biying Fu3 , Mario Kupnik2 , Arjan Kui

Source URL: www.winlab.rutgers.edu

• Sensors
• Measuring instruments
• Computing
• Technology
• Transducers
• Measurement
• Capacitive sensing
• Accelerometer
• Capacitor

Failure Localization for Shared Risk Link Groups in All-Optical Mesh Networks using Monitoring Trails J´anos Tapolcai∗, Pin-Han Ho† , Lajos R´onyai‡, P´eter Babarczi∗, and Bin Wu† ∗ ‡

Source URL: www.sztaki.hu

1 Link Fault Localization using Bi-directional M-Trails in All-Optical Mesh Networks J´anos Tapolcai∗ , Lajos R´onyai† , and Pin-Han Ho‡ MTA-BME Future Internet Research Group,

Source URL: opti.tmit.bme.hu

Microsoft Word - bookchapter_localization_tran.doc

Source URL: dept.stat.lsa.umich.edu

• Learning
• Artificial intelligence
• Statistical classification
• Machine learning
• Computing
• Wireless sensor network
• Support vector machine
• Kernel method
• Sensor node
• Kernel embedding of distributions
• Least squares support vector machine

The Effects of Ranging Noise on Multihop Localization: An Empirical Study Kamin Whitehouse, Chris Karlof, Alec Woo, Fred Jiang, and David Culler Email: {kamin,ckarlof,awoo,xjiang,culler}@cs.berkeley.edu Electrical Engine

Source URL: fredjiang.com