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Future Sensing Technologies Online Course Program

SPIE Future Sensing Technologies Online Course Program

Enhance your conference experience with online courses aligned with the SPIE Future Sensing Technologies Digital Forum.

SPIE online courses are versions of our live courses, designed to be taken on your own schedule. Courses include:

  • Immediate access
  • Slideshow presentations
  • Quizzes to test your retention of the material
  • Supplemental resources
  • Digital Certificate
  • Course access for one year from purchase

Take a course with Joseph Shaw

Future Sensing Technologies Conference Chair and SPIE Fellow Joseph Shaw is Distinguished Professor and Director of the Optical Technology Center at Montana State University – Bozeman. His research group develops radiometric and polarimetric imaging systems and lidars for applications ranging from environmental science to defense sensing. Joe consults frequently for industry in fields that include lidar systems and autonomous vehicles and has been teaching courses on these topics for SPIE for 17 years.

Joseph Shaw

Email education@spie.org

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Available Courses

Introduction to Optical and Infrared Sensor Systems (ON SC789)
This course provides a broad introduction to optical (near UV-visible) and infrared sensor systems, with an emphasis on systems used in defense and security. Topics include both passive imagers and active laser radars (lidar/ladar). We begin with a discussion of radiometry and radiometric calculations to determine how much optical power is captured by a sensor system. We survey atmospheric propagation and phenomenology (absorption, emission, scattering, and turbulence) and explore how these issues affect sensor systems. Finally, we perform signal calculations that consider the source, the atmosphere, and the optical system and detector, to arrive at a signal-to-noise ratio for typical passive and active sensor systems. These principles of optical radiometry, atmospheric propagation, and optical detection are combined in examples of real sensors studied at the block-diagram level. Sensor system examples include passive infrared imagers, polarization imagers, and hyperspectral imaging spectrometers, and active laser radars (lidars or ladars) for sensing distributed or hard targets. 
Your instructor: Joseph Shaw
Introduction to Lidar for Autonomous Vehicles (ON SC1232)
This course provides an introduction to the exciting and rapidly growing field of light detection and ranging (lidar) on autonomous vehicles. The rapid growth of new lasers and detectors, along with miniaturization of computers and high-speed data acquisition systems, is opening many new opportunities for lidar systems in applications that require smaller and more portable instruments. Since the invention of lidar in the 1960s, systems have evolved from large instruments mounted in unmovable laboratories or on trucks and trailers, to smaller and dramatically more portable instruments. This course reviews the basic principles that govern the design of any lidar system, emphasizing how these principles can be used to design and analyze small, portable lidar systems uniquely tailored to guiding and performing remote sensing measurements from autonomous vehicles on the road, in the air, and in the water.
Your instructor: Joseph Shaw

Watch Joseph Shaw give an overview of his course Introduction to Lidar for Autonomous Vehicles