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This course is verified by Probitas as meeting the AS9104/3A requirements for Continuing Professional Development. Problems arise in all facets of life. This is particularly true in the business world. Problems impact all aspects of an organization’s operations such as; product development, product quality, process efficiency, marketing efforts, human relations, leadership efforts, financial execution and ultimate profitability. If these problems are not addressed, they inhibit the operation of the business and can eventually result in total failure.

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.

There is a growing interest in the concept of a smart city and how these advanced technologies will improve the quality of living and make a city more attractive to visitors, commerce and industry. This course fills an unmet need for defining and explaining the relationship between connected and autonomous vehicles (CAVs) and smart city transportation. It is apparent that CAVs will achieve the best results when integrated with current and emerging urban infrastructure for transportation. This course addresses such integration from technology, organizational, policy and business model perspectives.

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.

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.

There is been tremendous progress in the application of technology and artificial intelligence to connected and autonomous vehicles. At the same time, there have been considerable advances in data science and data analysis that allows large data sets to be managed for results. This course introduces big data and analytics, focusing on how these will be applied to data generated by autonomous and connected vehicles. These technologies will be explained within the context of a smart city.

According to NHTSA, there were 932 vehicle recalls in the United States in 2022, affecting approximately 31 million vehicles; 39 electric vehicle recalls affecting more than 1.3 million vehicles, and 56 ADAS recalls affecting more than 4.7 million vehicles. Furthermore, Warranty Week reports that Worldwide Auto Manufacturers allocated a total of $54.7 billion for future warranty repairs or $670 per vehicle sold in 2022. 2023 Consumer Report indicates that Electrical Vehicles have 79% more reliability issues than ICE vehicles.

This course enables transportation professionals to optimize smart mobility for maximum return within smart cities. It offers a structured introduction to the subjects and makes use of real-life examples, local government, technology solution providers, and consulting. The course integrates insights and understandings related to the best use of technology, best practices, lessons learned, challenges, and opportunities. 

This course provides an overview of state-of-the-art intelligent vehicles, presents a systematic framework for intelligent technologies and vehicle-level architecture, and introduces testing methodologies to evaluate individual and integrated intelligent functions. Considering the increasing demand for vehicle intelligence, it is critical to gain an understanding of the growing variety of intelligent vehicle technologies and how they must function together effectively as a system.

Vehicle cybersecurity vulnerabilities could impact a vehicle's safe operation. Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.

Crash reconstruction is a scientific process that utilizes principles of physics and empirical data to analyze the physical, electronic, video, audio, and testimonial evidence from a crash to determine how and why the crash occurred. This course will introduce this reconstruction process as it gets applied to various crash types - in-line and intersection collisions, pedestrian collisions, motorcycle crashes, rollover crashes, and heavy truck crashes. Methods of evidence documentation will be covered. Analysis methods will also be presented for electronic data from event data recorders and for video.

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.

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.

The course will enable the learner to apply the fundamental principles behind safety of machine learning to a wide range of applications. The course guides learners through an appropriate selection of methods and tools tailored to the learner’s specific projects. With the acquired knowledge the learner will be able to shape the development and assessment of ML-based safety-related functions enabling their teams to leverage the power of advanced ML techniques without undermining safety.

This course highlights the technologies enabling ADAS and how they integrate with existing passive occupant crash protection systems, how ADAS functions perceive the world, make decisions, and either warn drivers or actively intervene in controlling the vehicle to avoid or mitigate crashes. Examples of current and future ADAS functions, and various sensors utilized in ADAS, including their operation and limitations, and sample algorithms, will be discussed and demonstrated. The course utilizes a combination of hands-on activities, including computer simulations, discussion and lecture.

This course has been developed in cooperation with TÜV SÜD. The certification concept behind the training comprises a multi-stage qualification and is characterized by a high level of practical bearing. The focus of this training is on the cybersecurity lifecycle for automotive products. In addition to a brief refresher on the content of the standard, important aspects of ISO/SAE 21434 that play an important role along the automotive lifecycle are discussed in detail. Starting with the topic "Culture & Competence", through cybersecurity planning to audits and assessments and post-development activities.

This 4-week virtual-only experience is conducted by leading experts in the autonomous vehicle industry and academia. You’ll develop an understanding of the fundamentals of AV architecture, including mechatronics, kinematics, and the sense-think-act framework in autonomous systems. The course builds a connection for how robotics are used in autonomous vehicles and provides you with demonstrations, procedures, and the skills necessary to program a robot with basic commands using the Robot Operating System (ROS).

The ever-increasing networking and automation of vehicles make cybersecurity a core requirement for future vehicles and their components. Automobile manufacturers and suppliers are confronted with new requirements that address the cybersecurity of vehicle IT/OT. This certification, created in partnership between SAE International and TÜV SÜD, provides the necessary basic knowledge for people who work in the field of automotive cybersecurity, management, engineering, and auditing. Course participants will gain an understanding of the current challenges in the automotive industry and the relevance and importance of cybersecurity.

"Spotlight on Design" features video interviews and case study segments, focusing on the latest technology breakthroughs. Viewers are virtually taken to labs and research centers to learn how design engineers are enhancing product performance/reliability, reducing cost, improving quality, safety or environmental impact, and achieving regulatory compliance. Fuel efficiency, or simply put, how to get more mileage out of the same amount of fuel has become one of the main goals to be achieved by new automotive technologies in the future, thanks in part to new government regulations. In the episode "Fuel Efficiency: Racing toward CAFE 2025" (21:24) AVL engineers show simulation and testing being used to design more fuel efficient vehicles, including the equipment that actually analyzes fuel economy.