Fatal accidents involving automated vehicles (AVs) have made it clear that safety is paramount to their acceptance, testing, verification, validation, and deployment. In fact, safety has been ranked as the number one concern for the acceptance and adoption of automated vehicles, and understandably so, since safety has some of the most complex requirements in the development of such vehicles. However, there are many misconceptions involving safety and the concept of safety as applied to automated vehicles.
Driven by the need for lower emissions, better fuel economy and higher efficiency, hybrid vehicles are appearing in many different configurations on today's roadways. While the powertrain components such as the drive motor, motor controller and cooling system are somewhat familiar to the automotive industry, the battery systems are a relatively unfamiliar aspect. This seminar will introduce participants to the concepts of hybrid vehicles, their missions and the role of batteries in fulfilling those requirements.
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 video provide critical information to understanding how crashes occurred, and in analyzing 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.
High voltage vehicle safety is a primary concern for every technician or engineer involved in developing, diagnosing or repairing hybrid or electric vehicles. Engineers/technicians working in this field should complete safety training before they interface with hybrid, plug-in or electric vehicles.
This class will provide the student with the skills, knowledge, and abilities to interpret, analyze and apply Heavy Vehicle Event Data Recorder (HVEDR) data in real world applications. This course has been designed to build on the concepts presented in the SAE course Accessing and Interpreting Heavy Vehicle Event Data Recorders (ID# C1022).