Infrared Camera for ADAS and Autonomous Sensing
C1934
- Content
Advanced Driver Assist System (ADAS) and autonomous vehicle technologies have disrupted the traditional automotive industry with potential to increase safety and optimize the cost of car ownership. Among the challenges are those of sensing the environment in and around the vehicle. Infrared camera sensing is seeing a rapid growth and adoption in the industry. The applications and illumination architecture options continue to evolve. This course will provide the foundation on which to build near infrared camera technologies for automotive applications.
The course will begin with a review of infrared basics - electromagnetic spectrum, spectral irradiance, night vision and eye safety. The content includes an in-depth calculation for infrared camera illumination and eye safety with focus on driver monitoring for interior and machine vision for exterior. Participants will receive insights into 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. Also included is a brief review of iris recognition, cabin monitoring and face recognition and a discussion on trends and challenges facing optical sensing in autonomous vehicles.
The course has been approved by the Accreditation Commission for Traffic Accident Reconstruction (ACTAR) for 7 Continuing Education Units (CEUs). Upon completion of this course, accredited reconstructionists should mail a copy of their course certificate of achievement and the $5 participant CEU fee to ACTAR, PO Box 1493, North Platte, NE 69103.
- Content
- By participating in this course, you will be able to:
- Give examples of market forces, regulation and technology in the eco system
- Comprehend electromagnetic spectrum, spectral irradiance, night vision and eye safety
- Prescribe infrared camera requirements with a comprehension of key variables
- Apply monitoring calculations for illumination, eye safety and power consumption
- Practice exterior infrared (IR) camera calculations for illumination, eye safety and power consumption
- Define iris recognition, face recognition, cabin monitoring and gesture recognition
- Identify challenges and opportunities for sensing trends in ADAS and AV
- Content
- Mechanical, lead, application, and electrical engineers, along with head of innovation and BOM family owner will benefit from this course. Those involved in driver monitoring, exterior IR camera for machine vision and other IR camera applications will also gain valuable sensing insights.
- Content
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 infrared camera applications in ADAS and autonomous vehicles will be beneficial.
- Duration
- 06:30
- CEU
- 0.7