Week of Events
“Research on the influence of the layout of the laser multi-coordinate measuring system on the measurement accuracy”: GBS INSTRUMENTATION AND MEASUREMENT WEEK, Webinar #1 of 3
“Research on the influence of the layout of the laser multi-coordinate measuring system on the measurement accuracy”: GBS INSTRUMENTATION AND MEASUREMENT WEEK, Webinar #1 of 3
The laser multi-coordinate measuring system has the advantages of high precision and wide measuring range and has wide application prospects in the fields of large-scale high-precision coordinate measurement. In order to improve the coordinate measurement accuracy of the laser multi-coordinate measuring system, the influence of station layout on measurement accuracy is quantitatively analyzed, meanwhile, and the influence of the positional relationship between the measuring equipment and the measured point on the uncertainty of coordinate measurement is introduced too. Speaker(s): DONGJING, Virtual: https://events.vtools.ieee.org/m/320887
Measurement Performance of Sensor Systems Towards Autonomous Vehicles: GBS INSTRUMENTATION AND MEASUREMENT WEEK, EVENT #2 of 3
Measurement Performance of Sensor Systems Towards Autonomous Vehicles: GBS INSTRUMENTATION AND MEASUREMENT WEEK, EVENT #2 of 3
The tutorial will focus on sensor and measurement systems for new generations of vehicles with driver-assisted/autonomous capability. This is the main trend that is revolutionizing vehicles and mobility of people and goods and is also making smart our cities. The economic and social impacts of this application field are huge. Worldwide every year 90 million vehicles are sold, but 1.25 million people are killed due to a lack of safety. In the US 3.1 billion gallons of fuel are wasted due to traffic congestion. Assisted driving and autonomous driving aim at increasing safety, improving fuel efficiency and our lifestyle by avoiding traffic congestion, at ensuring mobility for elderly and disabled people (inclusivity). The interest in this research subject is demonstrated by the huge investments of companies like Google, Intel, Tesla, Uber, Ford, and GM, to name just a few, and by technology alliances, e.g. between BMW and Intel, planning autonomous cars for 2021. A convergence between automotive and ICT/Electronics industries is foreseen in the near future. An example of this convergence is the 5G Automotive Association http://www.5gaa.org/, which includes all main car manufacturers, telecom service providers, electronic industries, and measurement system providers (Keysight, Rohde&Schwarz). The key enabling technologies for this scenario are the sensing and measurement systems, needed for accurate vehicle positioning and navigation, vehicle context-awareness, obstacle detection, and collision avoidance, for driver assistance (enhanced vision, driver’s attention, and fatigue detection). The lecture will be divided into multiple sections. First, in the Introduction, innovation and market trends in the field of sensor and measurement technologies applied to vehicles and smart mobility systems will be discussed, focusing on the next generation of driver-assisted/autonomous vehicles. Then, new Radar and Lidar systems, appearing on-board vehicles beside an array of imaging cameras, will be discussed for measurement of obstacle positions, distance, and relative speed. A trade-off has to be found between the power and size of active sensing systems like Radar and Lidar and their maximum measurement range. Moreover, in continuous wave Radars, the limited frequency sweep range and the limited number of TX/RX channels lead to limits for the resolution in distance, direction of arrival, and speed measurements. Examples of X-band mobility surveillance Radar and mm-wave automotive Radar will be provided. On the other hand, MOEMS (micro opto-electro mechanical systems)-based scanned systems, used to reduce the size and cost of Lidars are causing distortions that are worsening the accuracy of light-based measurements. Distortions due to fish-eye lenses, used to enlarge the field of view, are decreasing the measurement performance of imaging sensors. Techniques to mitigate such artifacts will be discussed. Practical examples of traffic sign recognition systems, road sign recognition, and image mosaicking for an all-around view will be discussed. In addition, Lidar and imaging cameras suffer from decreased measurement performance in case of harsh operating conditions (e.g. bad weather or light conditions). New biometric sensing and measurement systems will be also reviewed, such as Radar-based contactless heart/breath-rate measurement, smart steering wheel for skin temperature/galvanic-response measurements, or heart-rate detection, with the final aim of detecting the driver’s attention or health status. Concerning onboard sensors for positioning and navigation, recent advances in MEMS accelerometers and gyroscopes will be discussed. A careful analysis will be carried out about the measurement errors they cause on position and navigation, due to their bias and random walk output noise. Finally, the lecture will analyze the trend in computing platforms, where parallel architectures and machine learning/AI (artificial intelligence) techniques, will be exploited to manage in real-time many and heterogeneous sources of measurements and to take autonomous decisions. Suggestions for future directions of interest for the I&M society, and references to recent publications on IMS journals and conferences, in the field of automated and connected vehicles, will be provided as a conclusion. Speaker(s): SERGIO, Virtual: https://events.vtools.ieee.org/m/321258
Medicine 4.0: AI and IOT, the new revolution: GBS IMS WEEK, WEBINAR #3 of 3
Medicine 4.0: AI and IOT, the new revolution: GBS IMS WEEK, WEBINAR #3 of 3
Industry 4.0 is considered the great revolution of the past few years. New technologies, the Internet of things, and the possibility to monitor everything from everywhere changed both plants and the approaches to industrial production. Medicine is considered a slowly changing discipline. The human body model is a difficult concept to develop. But we can identify some passages in which medicine can be compared to the industry. Four major changes revolutionized medicine: Medicine 1.0: James Watson and Francis Crick described the structure of DNA. This was the beginning of research in the field of molecular and cellular biology Medicine 2.0: Sequencing the Human genome. This discovery made it possible to find the origin of the diseases. Medicine 3.0: The convergence of biology and engineering. Now the biologist’s experience can be combined with the technology of the engineers. New approaches to new forms of analysis can be used. Medicine 4.0: Digitalization of Medicine: IoT devices and techniques, AI to perform analyses, Machine Learning for diagnoses, Brain Computer Interface, Smart wearable sensors. Medicine 4.0 is definitely a great revolution in patient care. New horizons are possible today. Covid 19 has highlighted problems that have existed for a long time. Relocation of services, which means remote monitoring, and remote diagnoses without direct contact between the doctor and the patient. Hospitals are freed from routine tests that could be performed by patients at home and reported by doctors on the internet. Potential dangerous conditions can be prevented. During the Covid emergency, everybody can check his condition and ask for a medical visit (swab) only when really necessary. This is true telemedicine. This is not a WhatsApp where an elder tries to chat with a doctor. This is a smart device able to measure objective vital parameters and send to a health care center. Of course, Medicine 4.0 requires new technologies for smart sensors. These devices need to be very easy to use, fast, reliable, and low cost. They must be accepted by both people and doctors. In this talk, we’ll see together the meaning of telemedicine and E-Health. E-health is the key to allowing people to self-monitor their vital signals. Some devices already exist but a new approach will allow everybody (especially older people with cognitive difficulties) to use these systems with a friendly approach. Telemedicine will be the new approach to the concept of a hospital. A virtual hospital, without any physical contact but with an objective measurement of every parameter. A final remote discussion between the doctor and the patient is still required to feel comfortable. But the doctor will have all the vital signals recorded to allow him to make a diagnosis based on reliable data. Another important aspect of medicine 4.0 is the possibility of using AI both to perform parameter measurements and to manage the monitoring of multiple patients. The new image processing based on Artificial Neural Networks allows doctors to have a better and faster analysis. But AI algorithms are also able to manage intensive care rooms with several patients reducing the number of doctors involved in the global monitoring of the situation. Speaker(s): EROS, Virtual: https://events.vtools.ieee.org/m/321334