Schedule : 13H30 – 14H30
Chairman : M. Pancholi
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 : “ 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 : “Miniaturised Flame Ionisation Detector for Explosion Protection in Civil Sewerage Networks“
Jan Förster1, Winfred Kuipers1, Christian Koch1, Christian Lenz2, Steffen Ziesche2, and Dominik Jurkow3
1 Krohne Innovation GmbH, Ludwig-Krohne-Str. 5, 47058 Duisburg, Germany
2 Fraunhofer Institue IKTS, Winterbergstr. 28, 01277 Dresden, Germany
3 VIA electronics, Robert-Friese Str. 3, 07629 Hermsdorf, Germany;
Abstract : This work presents a new approach to enhance the civil safety by monitoring the civil sewerage networks to prevent formation of explosive atmospheres and thus enabling early initialisation of counter measures. For this approach a new system with a miniaturised flame ionisation detector (FID) as embedded sensor is presented. The developed micro FID embeds the fluidic components, the micro burner, the electrical structures for ignition and ion current measurement, and resistive temperature measurement elements in one monolithic ceramic component. Characterisation of the micro FID revealed good sensor performance with high sensitivity and reduced gas consumption compared to conventional FIDs. Thus, this micro FID is an excellent choice for an embedded sensor in the context of monitoring the civil sewerage.