We warmly welcome you to the 9th IEEE International Symposium on Inertial Sensors and Systems, INERTIAL’22, which will be held in the city of Avignon, France, Palais des Papes, on May 8-11, 2022.
Our program will begin on Sunday, May 8th, with three tutorials, followed by three days of technical presentations, from May 9th to May 11th. Each day of the conference will open with a keynote presentation. This year we have a great industrial support and the exhibition program. We invite you take advantage of this opportunity.
We hope that you find the INERTIAL’22 Symposium professionally stimulating and enjoyable.
The event continues our annual tradition of informal single track international meetings discussing the latest developments in the area of modern inertial sensors and emerging applications. The INERTIAL 2022 will be a four-day event with one day of tutorials, and three days of technical sessions.
Sensors Phenomena & Modeling
Theory, new physical principles, device-and-system-level modeling, multiphysics, deterministic/stochastic error models, predictive models
Sensor Systems & Electronics
Sensor arrays, multi-sensor units, inertial measurement units, sensor electronics, actuator systems, control of sensors
Theory, physical principles, device/system modeling, experimental results, packaging, supporting technologies, error/predictive models
Wafer-level fabrication, new micro/nano techniques, new materials, built-in diagnostics
Wafer-level, system-in-package, vacuum/differential packaging
Advanced Test & Evaluation
Low-cost test/evaluation, calibration of arrays, wafer-level test and evaluation
Hybrid systems, gravitational, magnetic, star-trackers, vision
Consumer electronics, medical devices, sport and fitness, automotive, oil/gas exploration, military, aeronautical and space sensor systems
Best Failed Ideas
Ideas for new sensors, systems, components, supporting subsystems, or methods that were once exciting but in the end proved unsuccessful
Bio-Inspired Sensors and Systems
Alternative navigation sensor and system approaches inspired by nature