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Convolutional neural networks are the de facto method of processing camera, radar, and lidar data for use in perception in ADAS and L4 vehicles, yet their operation is a black box to many engineers. Unlike traditional rules-based approaches to coding intelligent systems, networks are trained and the internal structure created during the training process is too complex to be understood by humans, yet in operation networks are able to classify objects of interest at error rates better than rates achieved by humans viewing the same input data.

Advanced Driver Assist System (ADAS) and autonomous vehicle technologies have disrupted the traditional automotive industry with potential to increase safety and optimize the cost of car ownership. Among the challenges are those of sensing the environment in and around the vehicle. Infrared camera sensing is seeing a rapid growth and adoption in the industry. The applications and illumination architecture options continue to evolve. This course will provide the foundation on which to build near infrared camera technologies for automotive applications.

Rolls-Royce holds that hands-on, practical training will always be the main focus for maintainers; however, VR technology will help bolster training activities especially with the amount of new aircraft that will be needed to accommodate the additional air passengers (which is expected to almost double by 2036).

Lidar technologies provide immediate and accurate free-space detection and excellent object detection and localization. As a result, a driver-assistance system designed with a high-performance, forward-looking lidar (FLL) sensor would greatly improve vehicle performance and safety. The third installment of this multipart series provides practical insight into the use of lidar technology as the cornerstone of a real-world advanced driver-assistance system.

Join SAE International Product Group Director, John Tintinalli and Editorial Director & Content Strategist, Courtney Howard as they discuss automated vehicle safety with other industry experts at AUVSI Xponential 2019.

Hundreds of flight simulation experts from aerospace organizations worldwide – including airframe manufacturers, training device manufacturers (TDM), airlines, operators, and suppliers – will convene at RSi Visual Systems in Coppell, Texas, in September for the 2018 Flight Simulator Engineering and Maintenance Conference (FSEMC). Virtual reality (VR), motion cueing, ADS-B, pilot training for NextGen and SESAR, flight simulation training device (FSTD) technology insertion, and the pros and cons of commercial off-the-shelf (COTS) components top the list of discussion points for the annual conference.

Today, L3 WESCAM delivered the first of its first MX-15 electro-optical and infrared system to Airbus Defense and Space in support of Canada’s Fixed-Wing Search and Rescue aircraft replacement program.

Engineering Events staff at SAE International in Warrendale, Pennsylvania, have extended the call for abstracts through September 21 for the organization’s AeroTech aerospace and defense technology conference, which will take place at the Fort Worth Convention Center in Fort Worth, Texas, March 14-16, 2023. Visit the AeroTech call for abstracts page for more information and to get started.

Magna ADAS package uses Uhnder’s patented radar chip.

The sensor technology is designed to bridge some of the gap between current-generation radar and lidar – while retaining the traditional advantages of RF-based sensors.

New partnership will combine Spartan’s sensor software with Uhnder’s digital radar technology to create next-gen perception solutions to advance automated mobility.