Overview of LIDAR and Infrared Cameras for ADAS and Autonomous Sensing C1954

This ½ day technical session is an abbreviated version of the 2 day SAE course on the same topic. The session 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

You must complete all course contact hours and successfully pass the learning assessment to obtain CEUs.

  • ADAS and Autonomous Sensing
    • Market Forces shaping Industry
    • Regulation landscape
    • The Importance of HMI for Level 3
  • Review of Infrared Basics
    • Electromagnetic spectrum
    • Infrared Energy, wavelength and temperature
    • Eye sensitivity to light – Visible and Infrared
    • Photopic, Scotopic and night vision
    • Eye Safety Basics
    • Spectral irradiance on earth – day and Night (Ambient noise)
  • LIDAR Topics
    • LIDAR basics – Laser, Detector, Range calculation
    • Laser Basics
    • Laser types – Edge Emitter, VCSEL, Multimode, Single Mode, stacked, Fiber, single channel, Arrays
    • Detector Basics
    • Wavelength Selection – 905nm, 1550nm, others
    • Laser & Detector Considerations
      • Wavelength Shifts
    • Types of LIDAR – Flash, Scanning
    • Scanner Types – Mechanical Mirrors, MEMS Mirror, Optical phase Arrays, Liquid Crystal scanning
  • Automotive Qualification and ASIL D standard Camera and Image Processing Basics
    • Frame Rate, Shutter Speed and image Accuracy
    • Rolling and Global shutter Camera
  • Infrared Camera Topics
    • Driver Monitoring with NIR
      • System requirements
      • Wavelength Selection
      • Image sensor selection
      • Use of secondary optics
      • Continuous vs Pulsed operation of IRED
      • Thermal design
      • Power consumption
      • Wavelength Shift
      • Eye Safety – certification
    • Exterior Camera with NIR
      • Need for application – Sensor fusion gaps
  • Other Infrared camera applications and Trends
    • Iris Recognition
    • Face Recognition
  • Autonomous Vehicles and Optical Sensors
Trends and challenges 
Rajeev Thakur
Rajeev Thakur

Rajeev Thakur is currently Director Automotive Programs at Velodyne Lidar - responsible for building Velodyne's LIDAR business in the automotive market. In this role he supports OEM customers to select, design-in and launch Velodyne's wide LIDAR portfolio for autonomous vehicles and ADAS functions. Prior to this, he was at OSRAM Opto Semiconductors as Regional Marketing Manager for infrared product management and business development in the NAFTA automotive market. His focus was on LIDAR, driver monitoring, night vision, blind spot detection and other ADAS applications. He has been in the Detroit automotive industry since 1990 – working for companies such as Bosch, Johnson Controls and Chrysler. He has concept-to-launch experience in occupant sensing, seating and power train sensors. He holds a masters degree in Manufacturing engineering from the University of Massachusetts, Amherst and a Bachelors degree in Mechanical engineering from Guindy engineering college in Chennai, India. He is a licensed professional engineer and holds a number of patents on occupant sensing. He is also a member of the SAE Active Safety Standards development committee and a reviewer for IEEE Intelligent Transportation Systems Transactions

Duration: 1 Day
CEUs: .4

Fees: $425.00

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