Media Summary: The main objective of DeeperSense is to enahance Gershon Dublon is a PhD student in the Responsive Environments at the MIT Media Lab, where he develops new tools for ... Paper Title: Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with

Doppellab Experiencing Multimodal Sensor Data - Detailed Analysis & Overview

The main objective of DeeperSense is to enahance Gershon Dublon is a PhD student in the Responsive Environments at the MIT Media Lab, where he develops new tools for ... Paper Title: Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Petar Velev, Senior Software Engineer at Bosch Engineering Center Sofia In this lecture, I will introduce the concept of This videos shows our work on automated extrinsic calibration submitted to ICRA 2015. For more information see ... A new domain adaptation approach for activity recognition where a new doppler

Video showing the visualisation of robot dog

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DoppelLab: Experiencing Multimodal Sensor Data
DoppelLab | February 2011
DeeperSense - Learning for Multimodal Sensor Fusion
Multimodal Sensor Interface
Multimodal Data Fusion of Spatial Fields in Sensor Networks
Being there -- sensor data to sensory superpowers: Gershon Dublon at TEDxWarwick 2014
Probabilistic End to End Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion
Applications of Multimodal P(IoT)CS Data for Reliable and Actionable Insights
PrintSense: A Versatile Sensing Technique to Support Multimodal Flexible Surface Interaction
Multimodality and Data Fusion Techniques in Deep Learning
Motion-Based Calibration of Multimodal Sensor Arrays
IMU2Doppler: Cross-Modal Domain Adaptation For Activity Recognition
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DoppelLab: Experiencing Multimodal Sensor Data

DoppelLab: Experiencing Multimodal Sensor Data

Homes and offices are being filled with

DoppelLab | February 2011

DoppelLab | February 2011

Update: see the latest build at http://

DeeperSense - Learning for Multimodal Sensor Fusion

DeeperSense - Learning for Multimodal Sensor Fusion

The main objective of DeeperSense is to enahance #underwater

Multimodal Sensor Interface

Multimodal Sensor Interface

This video demonstrates a

Multimodal Data Fusion of Spatial Fields in Sensor Networks

Multimodal Data Fusion of Spatial Fields in Sensor Networks

Title:

Being there -- sensor data to sensory superpowers: Gershon Dublon at TEDxWarwick 2014

Being there -- sensor data to sensory superpowers: Gershon Dublon at TEDxWarwick 2014

Gershon Dublon is a PhD student in the Responsive Environments at the MIT Media Lab, where he develops new tools for ...

Probabilistic End to End Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion

Probabilistic End to End Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion

Paper Title: Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with

Applications of Multimodal P(IoT)CS Data for Reliable and Actionable Insights

Applications of Multimodal P(IoT)CS Data for Reliable and Actionable Insights

Physical objects with embedded

PrintSense: A Versatile Sensing Technique to Support Multimodal Flexible Surface Interaction

PrintSense: A Versatile Sensing Technique to Support Multimodal Flexible Surface Interaction

Full Title: PrintSense: A Versatile

Multimodality and Data Fusion Techniques in Deep Learning

Multimodality and Data Fusion Techniques in Deep Learning

Petar Velev, Senior Software Engineer at Bosch Engineering Center Sofia In this lecture, I will introduce the concept of

Motion-Based Calibration of Multimodal Sensor Arrays

Motion-Based Calibration of Multimodal Sensor Arrays

This videos shows our work on automated extrinsic calibration submitted to ICRA 2015. For more information see ...

IMU2Doppler: Cross-Modal Domain Adaptation For Activity Recognition

IMU2Doppler: Cross-Modal Domain Adaptation For Activity Recognition

A new domain adaptation approach for activity recognition where a new doppler

Sensor data visualisation

Sensor data visualisation

Video showing the visualisation of robot dog