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eSAME is proud to announce its two keynote speakers for 2017 edition

Jean-Pierre Giacalone will present a keynote  at 9:10 titled :

“From Advanced Driving Assistance Systems to Autonomous Drive: The complexity challenge”

Giacolone

Jean-Pierre Giacalone

Renault, ADAS/AD Systems Architecture

Jean-Pierre has got his engineering degree from the Ecole Nationale Supérieure d’Electronique, d’Electrotechnique, d’Informatique et d’Hydraulique de Toulouse (ENSEEIHT), in 1985. He has 30 years of experience in Video processing, Video Analytics and Wireless Displays Systems as well as in Digital Signal Processing. His domains of expertise include Hardware, Software, system integration and System-On-Chip micro-architecture. He joined Intel Corporation in  2008 where he is a Principal Engineer. Jean-Pierre is the owner of 16 patents in the fields of video, video conferencing, and DSP. In his current role at Intel he leads Video systems architecture for key high-end Intel platforms serving mobile and ultra-mobile  markets (including tablets, phones and glasses), wolrdwide, some of these platforms currently in production.

Rod Watt will present a keynote at 13:20 titled :

“Advanced IP solutions to enable the autonomous automotive revolution”

 Rod Watt

arm, Director, Vehicle Arch & System Analysis

Rod Watt has over 20 years experience in electronics industry in the field of high speed digital design and analog circuitry. Extensive knowledge of systems design especially high end microprocessor systems. He is responsible for the design and development of many of the telecom industry’s most complex and innovative solutions.

As Director System Architecture, he is responsible for various markets including Automotive, IoT, Healthcare, Robotics, Artificial Intelligence, Mobile Network Operators and Security.

 

 

Session on Smart sensing systems

S-Cube session

Schedule : 13H30 – 14H30
Chairman : TBD
Place : Amphi

Topic : This session will focus on Smart sensing solution


13H30 – 13H50 : Invited paper
An Energy-Efficient Platform With Multi-Core Microprocessor For Smart Sensing”

Antonio Pullini, Stefan Mach, Michele Magno, Luca Benini

Integrated Systems Laboratory, ETH Zurich, Gloriastrsse, 35. 8092 Zurich, Switzerland

Abstact : Energy-efficient computing has increasingly come into focus of research and industry over the last decade. On one hand, high-performance computing requires energy-efficient systems in order to mitigate the performance-limiting impact of heat in ever-denser transistor arrangements and the cost of removing said heat. On the other hand, ultra-low power architectures are a requirement for distributed sensing networks, wearable electronics, the internet of things and also consumer electronics. In this paper we present a dual-mode platform that includes an ultra-low power microcontroller Cortex Arm M4 coupled with a multi-core high efficient parallel processor. The platform is designed to maximize the energy efficiency of sensors applications exploiting the Cortex Arm M4 to achieve ultra-low power processing and power management, and the multi-core processor to provide extraordinary computational power (i.e accelerator of Convolutional Neural Network). The platform enables energy efficiency due to the combination of the two processors as the multi-core processor is activated only when computational is needed. The proposed platform enhances the application scenarios where on-board processing enables intensive computation to extract complex features. Experimental results show the low power consumption of the solution, the energy efficiency of the platform and the benefits to use a dual processor platform.

13H50 – 14H10 : “266892 Relative Translation and Rotation Calibration Between Optical Target and Inertial Measurement Unit”

Manthan Pancholi 1, Svilen Dimitrov 1, Norbert Schmitz 1, Sebastian Lampe 2, and Didier Stricker 1


1 German Research Center for Artificial Intelligence, Trippstadter Strasse 122, 67663, Kaiserslautern, Germany,
2 Volkswagen Group Research, 38436 Wolfsburg, Germany

Abstract : Cameras and Inertial Measurement Units are widely used for motion tracking and general activity recognition. Sensor fusion techniques, which employ both Vision- and IMU-based tracking, rely on their precise synchronization in time and relative pose calibration. In this work, we propose a novel technique for solving both time and relative pose calibration between an optical target (OT) and an inertial measurement unit (IMU). It gathers 6DoF position and rotation data from the optical tracking system to simulate accelerometer and gyroscope readings for compare them against real ones recorded from the IMU. To converge into the desired result of relative pose calibration we use the adaptive genetic algorithm.

14H10 – 14H30 : “267056 Microwave Dosimeters for Domestic Use

A. Simakov1, E. Onishchenko1, B. Gurkovskiy1,2,V. Butuzov1, Yu. Bocharov1, I. Vodokhlebov1,V. Pershenkov1, B. Zhuravlev2, N. Trifonova2
1National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe highway 31, 115409 Moscow, Russian Federation;
2P.K. Anokhin Institute of Normal Physiology, Baltiyskaya 8, 125315 Moscow, Russia;

Abstract : Nowadays the growing microwave environmental contamination including home space can become a real challenge to all the residents. We present new portable devices, which provide a continuous remote monitoring of the microwave home background. These three different designs allow monitoring four main human microwave safety characteristics: SA – specific absorbed energy; MPE – maximum permissible exposure; SAR – specific absorption rate, and PD – power density. One may set a specific alarm level to match it with individual microwave sensitivity for personal precaution. New microwave dosimeters may work in professional, occupational and personal modes in smart home applications

Awards eSAME 2015

Awards have been annonced at the eSAME 2015 closing session
Life Achievement Award : Pierre Bricaud
Best Paper : Michele Magno, ETH Zurich
Images intégrées 2
Best University Booth : Chaka Kone, “Real Life Emotion Recognition Using Physiological Signals”, University Nice-Sophia Antipolis, France
 
Best Trainee : Raphael Cathelain, “On the use of differential microphone array for echo cancellation”, Intel
 
 
STM32 Nucleo IoT Contest : 
1ier prix : “Wireless Pong Game!” “Ping-Pong Virtuel sans fil” :Fatima Diop, Alexandre Hochart, Clément Le Marquis, Mickael Renault, Polytech’Nice Sophia
2ieme prix : “Embedded security features in bike Helmets” A. Sotoca, J. Forest, Polytech’Nice Sophia
3ieme prix : “Luggage monitoring system” M. Cosker, F. Baurreau”, LEAT
 
Prix Lycéen : Quiz Métier de l’Ingénieur : Mathias Viey, Lycée Audiberti, Antibes

STM32 Nucleo eSAME IoT Contest : On your mark, get set, develop !

eSAME Logo

November 5, 2015 Sophia-Antipolis

Green your electronics: less power, more value

Enter the STM32 Nucleo esame IoT Contest, develop the most innovative and fun “green electronics” project and win a GoPro Hero 4 or a STM32F7 Discovery Kit.

Register, grab your ST’s NUCLEO-L052RE and X-NUCLEO-IDB04A1 Bluetooh low energy expansion board, and start your project development on ARM mbed.
ST will support the installation, debug and optimization of the projects in the morning of the contest day on November 5, 2015.
Projects will be open to public in the afternoon.
The jury will nominate the most innovative and creative projects and distribute the prizes to the 3 winners.
All developments (SW and HW) must be open and available to the community.
 
More information on : http://www.esame-conference.org/program/iot-contest/

On your mark, get set, develop !

We remind you that online registration are open on : http://www.esame-conference.org/registration
The technical program is available on : http://www.esame-conference.org/program/technical-conferences/

SAVE THE DATE ! eSAME 2015 Conference
November 5, 2015
http://www.esame-conference.org/