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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