LIDAR for Autonomous Cars to Satellites
Today LIDAR sensors have become one of the most common sensors for 3D capture, thanks to autonomous cars, drones, and robots. All LIDAR sensors are not created equal, and they come in a variety of sizes and shapes, and prices too. Typically, the price and size increase with the increasing range and higher range resolution and range accuracy. All these sensor parameters vary depending upon the applications and their requirements. In this meeting, Dr. Yuan will discuss the fundamentals of LIDAR sensors and how the sensor components, laser, detector, optics, and electronics influence sensor parameters such as range, range resolution, and range accuracy. Furthermore, he will discuss flash LIDAR and scanning LIDAR technologies and their merits and limitations in different applications. Finally, he will discuss the design and requirements of LIDAR sensors for airborne and space applications.
Date and Time
Location
Hosts
Registration
- Date: 20 Oct 2022
- Time: 06:30 PM to 08:30 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
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- 31416 Agoura Rd
- Westlake Village, California
- United States 91361
- Building: Cal Lutheran Center for Entrepreneurship (Hub101)
- Click here for Map
- Starts 12 October 2022 12:00 PM
- Ends 20 October 2022 05:30 PM
- All times are (UTC-07:00) Pacific Time (US & Canada)
- No Admission Charge
Speakers
Dr. Ping Yuan of Acqubit
Biography:
Dr. Ping Yuan is the CTO of Acqubit. Dr. Yuan has 23 years of experience in in the research and development of infrared sensors, IR cameras, and LIDAR products. From 2000 to 2004 he led the research, development, and production of high-speed photodiodes for telecom applications at Multiplex Inc. In 2005, he joined Spectrolab, a Boeing company. He worked in the research, development, production of III-V optoelectronic devices, photo receiver modules, and 3-D LAser Detection And Ranging (LADAR) components and cameras. He was a Associated Technical Fellow at Boeing. He joined Aptiv and led the development of LIDAR for autonomous driving. In 2019, he joined Acqubit in the development of high-performance LIDAR for military and civilian applications. He has authored or co-authored 15 patents and trade secrets and more than 86 technical publications. Dr. Yuan holds a Ph.D. in Electrical Engineering from the University of Texas at Austin.
Agenda
6:30 PM: Food and Networking
7:00 PM: Presentation