An autonomous car must know its position and where it's going, which is very different from a human-driven vehicle. The way we navigate, as humans, is typically through relative positioning: we are positioning ourselves and the car in relation to the lane markers, different landmarks and traffic signs.
The autonomous car can do this as well, but it's not good enough for the computer-controlled system. It must also know exactly where it is compared to where it is going, as the autonomous car must know and plan the whole route in advance.
The challenge is that in some cases the GMSS or camera will not be available or functional, so absolute positioning for that period of time must rely only on an inertial measurement unit (IMU).
IMUs, or inertial sensors, can help in both the absolute positioning and relative position, and are independent of anything happening outside of the car.
In this webinar, we look at the five stages of ADAS to reach full autonomy in automotive applications and the benefits that inertial navigation can provide to these systems.
- Learn the history of ADAS
- See an ADAS technology overview
- Understand the differences in ADAS applications
- Learn why inertial navigation is important
- Discover an overview of Murata in ADAS Automotive
Tom Kuhl is the Director, Mobility Industry for Murata Electronics. Tom has over 30 years' experience in the electronics and automotive industry as a sales and marketing professional, including extensive global work experience with key automotive companies and their related supply chains.
In his current position, Tom is responsible for developing and executing strategic marketing initiatives for Murata Electronics as it relates to the rapidly evolving mobility ecosystem. Tom is collaborating with major mobility companies, technology start-ups, universities, and others to determine future development opportunities and partnerships and to get an early look at how the industry is transforming.