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  Take notes.  Take a spin.  Repeat.  Six classroom modules (2 each for ABS, TCS and ESC!) are paired with six driving modules on a real-world ice and snow development test track in the Upper Peninsula of Michigan.  There's no better way to reinforce classroom learning than by grabbing the steering wheel.  All of the driving exercises have been specifically developed so that anyone can hop in the car and immediately link what you have just learned in the classroom.  

Take notes! Take the wheel! There is no better place to gain an appreciation for vehicle dynamics than from the driver’s seat. Spend three, intense days with a world-renowned vehicle dynamics engineer and SAE Master Instructor, his team of experienced industry engineers, and the BMW-trained professional driving instructors. They will guide you as you work your way through 12 classroom modules learning how and why vehicles go, stop and turn. Each classroom module is immediately followed by an engaging driving exercise on BMW’s private test track.

Electronic brake control systems are required standard equipment on cars and trucks. Vehicles benefit from optimized braking, enhanced acceleration, and improved stability that these systems provide. The instructor introduces participants to system-level design considerations, vehicle interface requirements, and inevitable performance compromises that need to be addressed when implementing these technologies. Participants will begin by defining the tire-road interface and analyzing fundamental vehicle dynamics.

Active safety and (ADAS) are now being introduced to the marketplace as they serve as key enablers for anticipated autonomous driving systems. Automatic emergency braking (AEB) is one ADAS application which is either in the marketplace presently or under development as nearly all automakers have pledged to offer this technology by the year 2022. This one-day course is designed to provide an overview of the typical ADAS AEB system from multiple perspectives.

Potential regulations surrounding the development, testing and commercial launch of Highly Automated Vehicles and possible liability exposure for the manufacturing and operation of Highly Automated Vehicles are fluid and changing areas, that will continue to evolve over the next several years. The first half of this course reviews where regulations are at the state and federal levels, what actions are currently under consideration, how current regulations will need to change to accommodate HAV’s, and how and when new regulations might be implemented. The second half covers both common law and strict liability and how it may apply to HAV’s.

The automated vehicle industry has been busy designing, developing, and deploying several self driving vehicles and services in the last few years. However, much of the outcomes and the overall outlook of the vehicle and services, such as robotaxis, are not great. Customers and stakeholders complain that the level of automation is low, mostly SAE Levels 1, 2, and very little of Level 3. It appears that Level 4 is far out in the horizon and many wonder if Level 5 is actually achievable.

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.

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.

Billions of dollars have been invested in AV trucking. It is no longer a matter of IF, it is a matter of When, Where, Who and How? This will be the most disruptive event to happen in our supply chains in more than 4 decades. Are you ready to help your company usher in the most disruptive technology? This class will help you prepare and understand what you will need to do to become part of the ecosystem. You will learn how to identify what needs to start, stop, and change for you to adopt, integrate, and scale. Join us to learn the answers to key questions like the following: 1)How will maintenance change in the AV trucking ecosystem?

Electric and hybrid vehicle engineers and designers are faced with the important issue of how to adequately configure required powertrain system components to achieve needed performance, occupant accommodation, and operational objectives. This course enables participants to fully comprehend vehicle architectural/configurational design requirements to enable efficient structural design, effective packaging of required components, and efficient vehicle performance for shared and autonomous operation. The importance of integrating these design requirements with specific vehicle user needs and expectations will be emphasized.

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.

While most passenger car brake systems are quite robust and reliable under typical operating conditions, high-performance driving and/or racetrack operation generally require alternative design solutions to optimize consistency and longevity. Whether it is brake fluid fade, cracked rotor discs, chronic knockback, or insufficient brake pad life, the stresses of motorsports can pose unique challenges to even the very best brake system designs.

This class will provide the student with the skills, knowledge, and abilities to interpret, analyze and apply 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). Advanced topics will include associating HVEDR data with collision events through timestamps, odometer logs, and data signatures, validating HVEDR speed data using specified vehicle parameters, performing time and distance analyses using HVEDR data, and correlating HVEDR data to physical evidence from the vehicle and roadway.