How to Choose a 3D Vision Sensor

Tuesday, May 21, 2:10 PM - 3:15 PM
Summit Track: 
Room 203/204

Designers of autonomous vehicles, robots and many other systems are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors on the market, employing modalities including passive stereo, active stereo, time of flight, 2D and 3D lasers and monocular approaches. This talk will provide an overview of 3D vision sensor technologies and their capabilities and limitations, based on our experience selecting the right 3D technology and sensor for a diverse range of autonomous robot designs. There is no perfect sensor technology and no perfect sensor, but there is always a sensor which best aligns witht he requirements of your application — you just need to find it. We'll describe a quantitative and qualitative evaluation process for 3D vision sensors, including testing processes using both controlled environments and field testing, and some surprising characteristics and limiations we've uncovered through that testing.


Chris Osterwood

Founder & CEO, Capable Robot Components

Chris Osterwood founded Capable Robot Components in 2017 to enable rapid development of autonomous robots by providing technological building blocks to system integrators. Capable Robot is currently developing embedded communications hardware and a line of camera system components. Previously, Chris was Chief Technical Officer of Carnegie Robotics, where he led the development of many of Carnegie Robotics' robotic component products and custom robotic systems including MultiSense (a line of 3D stereo cameras), smart monocular and ring cameras, purpose-built manipulators, off-road unmanned ground vehicles and indoor autonomous robots which target the industrial floor care market. Chris spoke at the 2017 Embedded Vision Summit and ROSCON about the design and testing of 3D sensor technologies.

See you at the Summit! May 20-23 in Santa Clara, California!
Register today and reserve your hotel room!