Leti to demonstrate fusion of autonomous car’s senses at CES

Dec. 13, 2016

Grenoble, France. SIGMA FUSION, Leti’s innovative low-cost solution for autonomous cars, transforms myriad incoming distance data into clear information about the driving environment. This efficient perception system, which Leti will demonstrate at CES 2017, January 5-8 in Las Vegas, combines, merges and feeds exhaustive data to an autonomous car’s autopilot, providing all it needs to guarantee safe driving. It is able to detect any kind of obstacle and to assess obstacle-free spaces for safe route navigation.

SIGMA FUSION processes information signaled by its “senses”: a stereo camera and two LIDARs. SIGMA FUSION is compatible with any kind of range sensors, leveraging data from the best sensors.

SIGMA FUSION highlights include

  • multi-sensor fusion compatible with any type of sensor;
  • safe assessment of obstacle-free space surrounding the vehicle;
  • fast, accurate environmental perception;
  • real-time performance in a mass-market microcontroller;
  • predictable behavior and proven reliability to prepare for automotive-certification process;
  • 100 times more energy efficient than comparable systems; and
  • affordable and tailored to all vehicle types and models.

“SIGMA FUSION is a critical part of the core of the autonomous car’s brain, and can be embedded on the already certified ASIL-D automotive platform,” said Leti CEO Marie Semeria. “Leti will further develop this technology by integrating state-of-the-art sensor technologies, including LIDAR, radar, vision, ultrasound, and time-of-flight cameras into the system. We also will transform proof of concept into certified engineering platforms in the automotive and other industries.”

Leti is a member of the French Auvergne-Rhône-Alpes regional delegation at CES 2017. For more details, click on the link: http://www.minalogic.com/sites/default/files/plaquette_ces2017_version_finale.pdf

About the Author

Rick Nelson | Contributing Editor

Rick is currently Contributing Technical Editor. He was Executive Editor for EE in 2011-2018. Previously he served on several publications, including EDN and Vision Systems Design, and has received awards for signed editorials from the American Society of Business Publication Editors. He began as a design engineer at General Electric and Litton Industries and earned a BSEE degree from Penn State.

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