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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. Light detection and ranging (LIDAR) sensing, a sensing method that detects objects and maps their distances, is seeing rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve. This course will provide the foundation to build LIDAR technologies in automotive applications.

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.

This course examines ADAS and autonomous vehicle technologies that offer the potential to increase safety while attempting to optimize the cost of car ownership. LIDAR (light detection ranging) and Infrared camera sensing are seeing a rapid growth and adoption in the industry. However, the sensor requirements and system architecture options continue to evolve almost every six months. This course will provide the foundation to build on for these two technologies in automotive applications. It will include a demonstration model for LIDAR and Infrared camera.

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.

Many technical projects, most vehicle and component testing, and all accident reconstructions, product failure analyses, and other forensic investigations, require photographic documentation. Roadway evidence disappears, tested or wrecked vehicles are repaired, disassembled, or scrapped, and components can be tested for failure. Photographs are frequently the only evidence that remains of a wreck, or the only records of subjects before or during tests. Making consistently good images during any inspection is a critical part of the evaluation process. 

Photographs and video recordings of vehicle crashes and accident sites are more prevalent than ever, with dash mounted cameras, surveillance footage, and personal cell phones now ubiquitous. The information contained in these pictures and videos provide critical information to understanding how crashes occurred, and  analyze physical evidence. This course teaches the theory and techniques for getting the most out of digital media, including correctly processing raw video and photographs, correcting for lens distortion, and using photogrammetric techniques to convert the information in digital media to usable scaled three-dimensional data.

This course from SAE International training partner, FutureTech*, is a MUST for everyone servicing hybrid vehicles. Nickel metal hydride (NiMH) battery systems continue primary battery technology in hybrid vehicles and have been since the 2000 model year.  If a technical professional doesn't know the fundamentals of NiMH operation it is impossible for them to perform a solid diagnosis or repair.  This course will concentrate on the NiMH technology, how it performs as it ages, how it can effect vehicle performance and fuel economy, and how to test it by using a scan tool.

From lenses to composition, these videos cover everything you need to know when photographing accident reconstruction. Join accident reconstruction expert Tom Vadnais as he demonstrates how to photograph trucks, passenger vehicles, and accident sites, as well as a looks at must-have photography equipment.

Hybrid Electric Vehicle (HEV) models currently populating the vehicle electrification landscape indicate their dominance in the market. Although electric, plug-in, and fuel cell vehicles are making inroads in the market, the HEV stands as the market leader in adoption, and manufacturers have no plans on diminishing HEV production. HEV powertrain operation is totally different from the traditional vehicle. It is essential to understand the various operating modes and how failure modes in the hybrid system affect its operation.

High Voltage Safety & PPE (Personal Protection Equipment) is a necessary and important course to complete when planning to diagnose or repair hybrid or electric vehicles. This eLearning course, from SAE training partner FutureTech* will provide information on how to test high voltage gloves, when and where to send high voltage gloves for periodic testing, and how to safely use the proper test equipment for measuring high voltage components in live and disabled high voltage systems.

This four-part course from SAE training partner FutureTech* is most beneficial if completed before servicing hybrid, plug-in and electric vehicles. These vehicles contain high voltage DC and AC safety systems that are monitored by vehicle systems controllers that will maintain a safety barrier between the vehicle operator and the vehicle body/chassis to mitigate the possibility of electrical shock. This presentation will provide the technical information and background to know how these systems operate and affect vehicle operation and driveability.