NEW! LIDAR AND INFRARED CAMERAS FOR ADAS AND AUTONOMOUS SENSING
This two-day seminar examines ADAS and autonomous vehicle technologies that have disrupted the traditional automotive industry with their challenges and potential to increase safety while attempting to optimize the cost of car ownership. LIDAR and Infrared camera sensing are seeing a rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve almost every six months. This course will provide the foundation to build on for these two technologies in automotive applications. It will include a demonstration model for LIDAR and Infrared camera. The seminar will begin with a review of Infrared basics - electromagnetic spectrum, spectral irradiance, night vision and eye safety. We will then dive into LIDAR – flash, scanning, wavelengths, lasers, detectors, scanners, range and resolution calculations, optics, thermal design, challenges to automotive qualification and sensor fusion. The second half will cover Infrared camera topics with focus on driver monitoring for interior and machine vision for exterior. We will review rolling and global shutter imagers, wavelength selection, use of secondary optics, continuous vs pulsed IRED operation, thermal design, power consumption, eye safety certification and HMI considerations. A brief review of iris recognition, cabin monitoring and face recognition. We will end with a short discussion on trends and challenges facing optical sensing in autonomous vehicles. LEARNING OBJECTIVES Upon completion of this course the participants will be able to: • Comprehend electromagnetic spectrum, spectral irradiance, night vision and eye safety • Describe various LIDAR architectures based on key design parameters • Formulate LIDAR requirements based on an understanding of system edge use cases • Prescribe Infrared camera requirements with a comprehension of key variables • Calculate IRED and Laser power requirements to meet system needs • Gain an overview of challenges and opportunities for sensing trends in ADAS and AV
Prerequisites: An undergraduate engineering degree or a strong technical background is highly recommended. A basic knowledge of college algebra, college physics, and a basic awareness of LIDAR and Infrared camera applications in ADAS and autonomous vehicles will be beneficial.
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3 ways to get a no-obligation price quote to deliver a course to your company Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning Email us at Corplearn@sae.org
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