Transport – ADAS, EV and autonomous vehicle platforms
Sensing for autonomous mobility
Nicolas Sauvage - TDK-InvenSense
While Autonomous Mobility is receiving a lot of spotlight time around autonomous cars, there are other important activities that requires high performance Sensing, combined with Artificial Intelligence and Machine Learning, to provide real “autonomy value” to drones, robots and animals in addition to transportation vehicles, both in consumer and industrial context. This presentation will introduce why we see an increasing number of different sensor types to address these novel use-cases, and which key performance indicators of these sensors matters most to deliver highest “autonomy value”.
Temperature sensors solutions for passenger comfort
Holger Hegner - TDK Electronics AG
Higher energy efficiency, environmental requirements and higher comfort are the key drivers for new sensor solutions. TDK is developing and manufacturing both sensing elements and sensor systems for the automotive industry. Smart sensor solutions are aiming optimal passenger comfort and lower energy consumption. Our temperature sensing solutions featuring very high long-term stability and accuracy combined with high media resistant to comply with the more demanding customer requirements. Incorporated easy mounting features round off the range of options. Simulation tools support the customization of these sensing solutions in order to realize the best fit to the customer requirements. This session will show best practice examples of how temperature sensors are designed into HVAC and xEV applications.
Magnetic sensors solutions to address EV and autonomous vehicle platform
Julien Fabrègues - TDK Micronas
Magnetic sensors are used in many automotive applications today, offering contactless position, speed, torque and current sensing solutions. Automotive trends towards electrification and autonomous driving are creating major challenges for system integrators, and also chip makers. EV battery state must be evaluated even more precisely than before, which represents both a need and an opportunity for new current sensor solution. High current lines are also generating larger disturbing magnetic fields that in turn require smarter magnetic sensors able to differentiate between the magnet position and stray field effects. The move from fail-safe systems towards fail-operational systems to ensure full or degraded operation of a function even if a failure occurs will require new redundancy solutions and technology diversity. The TDK Magnetic Sensor Business group will show its direction to address these challenges based on its proprietary Hall and TMR technologies.
Sensors for Long-Range Automotive LiDAR
Wade Appelman - ON Semiconductor
LiDAR is a critical element in the fusion of sensor technologies required for autonomous vehicles. It is critical that the LiDAR component has the ability to range to long distances even when observing very-low reflectivity targets and in challenging environments. In these conditions, the challenge is achieving object detection with a very limited number of photons from the return signal.
This talk will address this problem, exploring techniques and sensor technologies for working at the single-photon level. In particular, the multi-shot LiDAR technique will be discussed, along with the latest SiPM (Silicon Photomultiplier) and SPAD array developments. These sensors are sensitive to single photons, and rapid technology development is continually improving the detection efficiency at 905 nm.
LiDAR – From space to roads
Alexis Debray - Yole Développement
LiDAR technology, which has been confined to scientific and space applications for decades, is now expanding into mass market with applications in consumer and automotive segments. The LiDAR market for automotive, which accounted for $325M in 2017, is expected to grow to $5.2B in 2023, representing an annual growth of 48%. This growth will serve both the robo-taxi segment and the ADAS vehicle segment, and requires new technologies and new industries.
Leverage Ecosystem Collaboration to Create a Versatile and Scalable LiDAR Solution
Heinz Oyrer - Leddartech
At the heart of self-driving technology is LiDAR (light detection and ranging), a vehicle vision system that allows driverless cars to see. LeddarTech provides an automotive LiDAR development platform that enables the mass deployment of solid-state LiDAR systems for Tier-1 suppliers and system integrators and offers an ecosystem of leading world-class automotive suppliers who provide prequalified sourcing options for components and software to use in the design of solid-state LiDARs. This session will discuss the advantages of a unique approach that enables developers and integrators to build a customized solution around a core (LeddarEngine), rather than buying a prebuilt product.
Transforming Europe’s cities: An Introduction to FiveAI
Stephen Fendyke - FiveAI
FiveAI is using the power of autonomy to transform Europe’s cities, for everyone. The business is bringing together the best minds in AI, research and engineering to deliver a shared, fully autonomous transport service for Europe’s cities and expects the benefits to be huge and wide-ranging. Stephen Fendyke, FiveAI’s sensor team lead, joins us to introduce the company’s mission and tech, and to share ways in which we are shaping the future of transport. He will discuss the sensors we use and provide some insight into the unique challenges posed them by our unique mission.
Near-field sensing for autonomously moving vehicles
Tobias Bahnemann - Toposens GmbH
Toposens has developed the first 3D ultrasound sensor worldwide. The sensor perceives its near-field environment in 3D in real time using echolocation, similar to the principle used by bats. While long distances can be reasonably scanned by radar and lidar sensors, 3D ultrasound technology has strong benefits when it comes to near-field sensing. The sensors are less expensive than cameras or radars, they are very robust, energy- and data-efficient and small in their dimensions. Applications range from autonomous (valet) parking over collision avoidance for doors to gesture control and passenger monitoring.
Sensor models enabling autonomous vehicles to perceive the road ahead more clearly
Mike Dempsey - Claytex
The artificial intelligence (AI) in an AV learns by experience, so must be exposed to many thousands of possible scenarios in order to develop the correct responses. It would be unsafe and impractical to achieve this only through physical testing at a proving ground because of the timescales required. Instead a process of virtual testing in a simulated environment offers the scope to test many more interactions, more quickly and repeatably, before an AV is used on the public highway.
The challenge has been to ensure that virtual testing is truly representative, and that the AV will respond the same on the road as it did in simulation. Just as a driving simulator must immerse the driver in a convincing virtual reality, the sensor models used to test an AV must accurately reproduce the signals communicated by real sensors in real situations.
The presentation will cover the development of a suite of generic, ideal sensor models for radar, LiDAR and ultrasound sensors, using software from rFpro that has developed solutions for a number of technical limitations that have constrained sensor modelling until now, including new approaches to rendering, beam divergence, sensor motion and camera lens distortion.
Presentation title TBC - Velodyne
Erich Smidt - Velodyne
LiDAR receivers for automotive applications
Marc Schillgalies - First Sensor
First Sensor is a key supplier for industrial and automotive LiDAR receivers. In our facilities we can customize the semiconductor design as we all as the individual packaging/assembly to build LiDAR receiver modules.
The talk will focus on challenges of designing LiDAR receivers for automotive applications including semiconductor level as well as a packaging platform for high integration density LiDAR receivers. To facilitate next generation automotive grade LiDAR we are pushing the limits of silicon APDs and give insight into the robustness validation of the detectors.
Autonomous and Electric Cars: What’s in for Sensors?
Richard Dixon - IHS Markit
Autonomous driving and electrification are two trends that will ultimately change vehicle architecture and sensing. While ADAS cameras and radar will grow very rapidly to support L3 to L5 driving, silicon-based MEMS and other conventional sensors will also have to adapt to these architecture modifications in the propulsion system and with increased safety associated with robotic operation. At least 5 new modules with sensors are needed in an HEV, while precision navigation is another area that will challenge sensor makers in future, for example. IHS Markit will thus examine sensing in the new automotive economy.
IIoT – Leading industrial and consumer (IoT) strategies
The emergence of new sensing capabilities from commercially available sensors
Thomas Dawidczyk - Lux Research
Selecting the Right IoT Network for Industrial Applications
Danny Hughes - VersaSense
Today’s Internet of Things (IoT) networks provide a solid foundation for a broad range of industrial applications. However, there are a wide and growing range of network protocols available. Each of these network technologies offers a trade-off in terms of: battery-life, performance, cost and deployment flexibility. This talk aims to help attendees understand these trade-offs and select the right network for their application. The talk will be illustrated throughout with real-world examples drawn from VersaSense extensive experience of deploying IoT networks in harsh environments.
IoT sensing technologies enabling digital transformation in industry
Barbara Panella - ABB
Industry is facing a major transformation towards digitalization of processes and services, and sensors are key technology enablers in this transition.
There is a need to monitor more parameters at lower cost and with limited installation effort, in order to provide better digital solutions that are affordable for customers. These solutions need to be scalable, connected and robust enough, to be suitable for the industrial environment.
In this presentation, examples of the latest IoT sensing solutions for the power and automation industry will be shown, focusing on customer needs and on challenges that need to be faced in an industrial environment.
AI in Sensors for IoT
Rainer Minixhofer - AMS AG
The Internet of Things (IoT) is now already reality in multiple application areas. Smart sensors used in smart cities, autonomous driving, home and building automation (HABA), etc. experience challenging requirements in large interconnected networks. Based on this facts, a significant increase of data transmission and required bandwith can be expected which will overload the available communication infrastructure. To mitigate this, the use of artificial intelligence (AI) in smart sensors can significantly reduce the amount of data exchange within the networks. The overall architecture of AI in sensors for IoT is described and it’s efficiency in a practical use case is demonstrated. Finally an overview on future application scenarios is provided.
Mobile commodity fiber optic sensing devices
Pim Kat - Technobis
In the physical world, sensor data and sensing systems are commonplace. Commodity owners depend on sensors, systems and signals to drive real-time structural health monitoring, operational awareness and decision making, and the ability to draw conclusions from the past and predict future behavior. When low cost mobile fiber optic sensor devices and sensing techniques found in operational engineering fields are targeted at delivering real-time intelligence, a new source of market data emerges which not only adds greater, real-time transparency, but allows traditional price, supply and demand models to tap directly into the physical world for input. Technobis has breached that gap to the IoT market, with its miniature fiber sensing platform called Gator based on Integrated Photonics technology.
Wafer Level Fabrication of Micro and Nanostructures for Optical Sensing
Martin Eibelhuber - EV Group
Photonic applications for 3D sensing, biometric authentication or spectral imaging gained recently a lot of attention and are emerging rapidly by utilizing wafer level optic fabrication. So far sensing in consumer electronics has been mainly dominated by MEMS providing high performance and smallest form factors for a multitude of applications. This has also been enabled by using the fabrication infrastructure of the semiconductor industry and in particular by the implementation of wafer bonding technologies. To manufacture those novel optical modules also wafer level technologies are required to achieve smallest form factors and high performance combined with high volume parallel processing. Thus, wafer level optics is key enabling and technologies as lens molding and nanoimprint lithography play an essential role in this new field of sensing applications.
Beyond smartphones: Ultra-low power and smart CE sensors
Wolfgang Schmitt-Hahn - Bosch Sensortec
Smartphones have significantly influenced the development of CE sensors over the last 10 years: small footprints, low prices and low power consumption have been the key parameters the industry has worked on.
With new mobile CE devices like smartwatches and fitness trackers in the short run and smart glasses in the long run the requirements for sensors are getting even tighter. These applications demand for even lower power consumption while at the same time requesting more useful, more precise and aggregated sensor data.
New technological approaches and features like ultra-low power consumption and local sensor intelligence will allow to reach these goals.
Health – SoCs for diagnoses and wellbeing
Presentation Title TBC
Tristan Rousselle - Aryballe Technologies
Smart sensor systems - an impending revolution in digital healthcare
Paul Galvin - Tyndall National Institute
Carin: a global rising star
Valer Pop - Lifesense Group
Can wearable sensors and IoT help re-define how people tackle their health? Current health products and systems are well understood from a practical approach but believe wearable sensors and IoT can add value to the experience of understanding our body and in tackling societal taboos.
Carin is a wearable healthcare system that presents a solution to the largest unspoken women health care secret today: urine loss. 1 in 3 women never recover full bladder control after childbirth. With Carin women - which will otherwise use for 20-30 years of their life pads or diapers – will cure within 6-8weeks.
Don´t hesitate to sweat – sensors for analysis in sport wearables
Alicia Zorner - Fraunhofer IISB
Wearables evaluating vital parameters of human body during sports activities meet current trends of self-monitoring. Physiological parameter from sweat can improve the assessment of the body status in sports performance diagnostics for leisure and professional athletes. The presented wearable sensor device can provide insight into intra-corporal physiological processes, help to control training intensity in sports, prevent muscular overstrain, and help to improve training cycles for athletes. The fabrication and analysis of ion-selective sensors and also the integration with tailored electronics are presented. The printed sensors are developed to fit wearable devices and deliver specificity for ammonium levels in sweat.
Energy – Powering advanced systems
Energy harvesting options for wireless sensors
Matthias Kassner - EnOcean
Wireless sensors provide valuable input data for a wide range of applications. They are flexible to use and can be easily installed. The absence of wiring however requires these sensors to provide their own power supply. Batteries have in the past been a common choice for this but the need for maintenance has proven to be a significant disadvantage. Energy harvesting sensors eliminate this disadvantage and enable users to realize the full benefits of wireless sensor networks.
Autonomous sensing surfaces for smart buildings
Edsger Smits - Holst Centre
With the ever increasing number of distributed sensor around builds, there is a genuine need to have sensor systems that do not operate on batteries. Energy harvesting is the key technology enabling fully autonomous sensor solutions. Depending on the application and environment different energy harvesting solutions can be considered (light, mechanical, thermal). In this presentation we will discuss the feasibility of using non-resonant piezoelectric harvesters for energy generation. We will show that, based on such harvesters, an electronic circuit suitable of scanning a pressure sensor array and transmit the data wirelessly can be powered. As a proof of concept implementation a pressure sensing floor mat demonstration will be given.
Vibration energy harvesting for the Industrial IoT
Viktor Börjesson - ReVibe Energy AB
The increasing use of sensors through the expansion of the Industrial Internet of Things is well known. At ReVibe Energy, we have questioned the fact that up to 50 billion sensors (by 2025) should be powered by normal batteries. Our answer? Using vibrations that exists in industrial environments to power said sensors in a economically (and environmentally) sustainable fashion.
Presentation Title TBC
Mathieu Bellanger - Lightricity
Flight – Aviation and aerospace frontiers
Inertial sensors for precise navigation, stabilization and motion control
Vincent Gaff - TDK Tronics Microsystems
Following the adoption of sensors in the automotive and consumer industry, MEMS inertial sensors are now also penetrating more conservative industries such as the avionics, aerospace, marine, and other new segment of industry. MEMS inertial sensors are now challenging and replacing mechanical and optical inertial sensors after decades of domination for high performance applications. They are also enabling new applications in precise navigation of agricultural and construction vehicules, optics stabilization and antenna pointing, as well as motion control and monitoring of large structures. TDK-Tronics offers highly stable, low noise, vibration immune and low latency closed-loop accelerometers and gyros that feature lower cost than traditional mechanical and optical technologies and enable smaller size, lower weight and high performance IMUs and sensor clusters for those applications.
Imaging – Detection, identification and ranging
Best Practices for integrating solid state lidar in serial cars
Kris De Meester - Xenomatix
Technology choices for automotive lidar have to be based on how and where the lidar units can be integrated in vehicles. This integration impacts the lidar technology as well as the vehicle itself. As the need for reliable solid state lidar systems continues to grow, considerations about sensor placement and ways to achieve reliable detection get the automotive attention. While test vehicles often still have externally mounted lidar systems, mass production vehicles are in need of lidar technology that can be nicely incorporated in the vehicle. This presentation will report the outcome from cooperations between XenomatiX and Tier I partners bringing together expertise and viewing points from technology companies and Tier I’s.
Gesture Recognition and 3D Sensing Technologies for Mobile Devices
Paul Leclaire - Knowmade
Patent literature is a mine of information to apprehend the competitive landscape and technology developments. We will explore patented technologies and their owners that will play significant roles in near- and long-term evolution of gesture and facial recognition for mobile applications.
Sensors for hyperspectral imaging and mobile applications
Microstructural Imaging and characterisation of metallic structures using Quantum enabled Semiconductor devices for NDT applications.
Mohamed Missous - University of Manchester
Microstructural analysis of steel and related materials and imaging of magnetic domains and grains is of great importance in a range of industries. Bulk classical inspection techniques do not have the resolution (both spatial and magnetic) to extract the wealth of data available and instead rely on expensive and time consuming destructive techniques such as SEM or TEM of sectionned samples. We address these issues by using advanced Quantum Well Hall Effect (QWHE) sensors as novel solution enabling a new paradigm in high resolution microstructural analysis of materials non destructively, and without the need for any surface preparation or sectionning.
Iwan Davies - VIDaP Consortium
Keeping a Clear Vision: De-fogging and De-frosting
Titus Suck - Canatu
Optical sensors must be performing regardless of weather conditions. Fogging up and icing over are challenges for cameras, mirrors, headlamps, ranging devices such as Lidar. Canatu proposes a heating concept that is based on the application of their CNB carbon-nano-bud films which are transparent, conductive and formable/bendable. The presentation will discuss the challenges, key factors and processing aspects of the heater concept.