Experiments in Indoor Localization and Vehicle Classification

Channel:
Microsoft Research
Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=IZywKtNmevU


Duration: 1:11:19
225 views
3

Sensing, Computing and Communication are essential components of an IoT system. The talk will cover two experiments in indoor localization for harsh environments and vehicle classification for road traffic monitoring. Details about the system specifications, approach to designing the system under constraints, theoretical modelling, and implementation of algorithms on a resource-constrained platform will be presented.



Other Videos By Microsoft Research


2016-08-04Microsoft Azure Storage: Blobs and Tables
2016-08-04Microsoft Azure Storage
2016-08-04Stroke recovery gets a boost from Kinect
2016-08-04Cambridge lab overview with Chris Bishop
2016-08-04Nanotechnology Assay Development for Environmental and Medical Applications
2016-08-04An Experimental Study on Energy Efficiency in the Industrial Internet of Things
2016-08-04Learning Invariant Feature Points
2016-08-04Faculty Summit 2016 - Machine Reading for Science and Society
2016-08-04Cyber Physical Systems over IoT: Inference and Control over Resource Challenged Wireless Networks
2016-08-04Faculty Summit 2016 - Computing with exotic technologies and platforms
2016-08-01Experiments in Indoor Localization and Vehicle Classification
2016-07-28Quantum Computation for Quantum Chemistry: Status, Challenges, and Prospects - Session 3
2016-07-28Asymptotic behavior of the Cheeger constant of super-critical percolation in the square lattice
2016-07-28Recovering Washington’s Wolves & Preserving the Critical Link
2016-07-28The similarity distance on graphs and graphons
2016-07-28Neural Acceleration for General-Purpose Approximate Programs
2016-07-28Snow Hydrology at the Scale of Mountain Ranges
2016-07-28Vote Privacy, Revisited: New Definitions, Tools and Constructions
2016-07-28Dispelling an Old Myth about an Ancient Algorithm
2016-07-28Behavior Based Authentication using Gestures and Signatures
2016-07-28Approximating the Expansion Profile and Almost Optimal Local Graph Clustering


Tags:
microsoft research