AUTOMOTIVE DESIGN
Convolutional Neural Network
Leaders in 3D Scanning and Inspection of Automotive Components and Assemblies
The Thermal Ranger’s convolutional neural network Improving AV safety with C Thermal vision
onventional neural networks (CNNs) are being deployed to accurately and reliably locate and classify pedestrians and animals in the dark from their own thermal signatures. A new whitepaper
released by Owl Autonomous Imaging has revealed how its monocular 3D thermal ranging computer vision technologies are helping to enhance vehicle safety during the day, at night, and during adverse weather conditions. In combination with the company’s Monocular 3D
Thermal infrared camera, Owl’s Thermal Ranger 3D sensor technology uses artifi cial intelligence (AI) deep learning and custom thermal sensors to extract dense range maps capable of identifying and classifying living objects. With the addition of the fi rm’s unique CNN software, the system can quickly and accurately measure the position of vulnerable road users like pedestrians and animals before alerting the driver. If the driver does not react quickly or accurately enough, the autonomous vehicle’s brakes and steering system can be instantly activated to prevent harm to the identifi ed individual, as well as damage to the vehicle. “If you are involved in the development of next-
generation autonomous vehicle safety and ADAS systems, it is essential for you to understand how CNNs contribute to thermal imaging capabilities,” says Chuck Gershman, CEO and Co-founder of Owl Autonomous Imaging. “Safety is a critical gating point for the automotive industry’s successful implementation of autonomous and self-driving vehicles. Being able to see at night and recognise pedestrians and animals in the road is an important safety hurdle that needs to be conquered.” The CNNs can extract all the information required for
automatic emergency braking decisions from a single thermal image. As a result, vulnerable road users can be located and classifi ed in the dark from their own thermal signatures using a single infrared camera.
Read the whitepaper in full at
www.owlai.us/request-white-paper www.engineerlive.com 9 3D Smart Sensors
Our trusted Gocator smart 3D laser profilers and snapshot sensors solve a wide range of vehicle manufacturing quality control applications including windshield insertion guidance and verification; body frame inspection; EV Battery inspection, assembly weld inspection, glue bead volume and quality verification, wheel alignment and more.
LMI Technologies is a global leader in the advancement of 3D scanning technology for automotive manufacturing applications to optimize quality and throughput on the production line.
Gocator for Automotive Manufacturing Inspection:
High-resolution, high-speed 3D shape-based scanning Intuitive web-based user interface for ease of use On-sensor data processing, measurement tools, and factory connectivity Native multi-sensor networking for maximum scan coverage with the fewest number of sensors
Learn more at
www.lmi3D.com/automotive-inspection
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