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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.

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.

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.

This course is offered in China only and presented in Mandarin Chinese. Driving simulator is a key component of automotive interactive design, which can provide objective data to support both the effectiveness of design and user experience. On the other hand, driving simulator and the design of its experiments are major challenges, as improper experiment design will lead to consequences such as failure in identifying designing errors of the interactive design itself.

This course is verified by Probitas as meeting the AS9104/3A requirements for Continuing Professional Development. This course serves a dual purpose: it delves into fundamental DFMEA principles and their practical applications while also offering guidance on leading DFMEA teams. Participants will be introduced to crucial FMEA concepts, along with the theoretical foundations before exploring how to implement these concepts in their DFMEA endeavors. Often, the FMEA process can become a mere replication of past efforts, which poses risks for both organizations developing the products under scrutiny and the end-users.

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 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.

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.

This course will introduce participants to industry best practices for real-world aviation cyber-security risk-assessment, development & assurance. Participants will learn the information necessary to help minimize DO-326/ED-202-set compliance risks and costs, while also optimizing cyber-security levels for the development, deployment and in-service phases Topics such as aircraft security aspects of safety, systems-approach to security, security planning, the airworthiness security process, and security effectiveness assurance will be covered.

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.

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.

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.

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 document defines an Aircraft Data Interface Function (ADIF) developed for aircraft installations that incorporate network components based on commercially available technologies. This document defines a set of protocols and services for the exchange of aircraft avionics data across aircraft networks. A common set of services that may be used to access specific avionics parameters are described. The ADIF may be implemented as a generic network service, or it may be implemented as a dedicated service within an ARINC 759 Aircraft Interface Devices (AID) such as those used with an Electronic Flight Bag (EFB). Supplement 8 includes improvements in the Aviation Data Broadcast Protocol (ADBP), adds support for the Media Independent Aircraft Messaging (MIAM) protocol, and contains data security enhancements. It also includes notification and deprecation of the Generic Aircraft Parameter Service (GAPS) protocol that will be deleted in a future supplement.

The purpose of this document is to provide an overview of data networking standards recommended for use in commercial aircraft installations. These standards provide a means to adapt commercially defined networking standards to an aircraft environment. It refers to devices such as bridges, switches, routers and hubs and their use in an aircraft environment. This equipment, when installed in a network topology, can optimize data transfer and overall avionics performance.

This document defines a standard implementation for strong client authentication and encryption of Wi-Fi-based client connections to onboard Wireless LAN (WLAN) networks. WLAN networks may consist of multi-purpose inflight entertainment system networks operating in the Passenger Information and Entertainment System (PIES) domain, dedicated aircraft cabin wireless networks or localized Aircraft Integrated Data (AID) devices operating in the Aircraft Information Services (AIS) domain. The purpose of this document is to focus on the client devices requiring connections to these networks such as electronic flight bags, flight attendant mobile devices, onboard Internet of Things (IoT) devices, AID devices (acting as clients) and mobile maintenance devices. Passenger devices are not within the focus of this document.

ARINC 814 defines an XML encoding and compression standard for aviation. It is based on the Open Geospatial Consortium (OGC) Binary XML document. Binary XML encoding is extended in a way that is both flexible and robust. Compression is added on top of the binary encoding. ARINC 814 is expected to be used with Aeronautical Databases, in particular, ARINC Specification 813: Embedded Interchange Format for Terrain Databases, ARINC Specification 815: Embedded Interchange Format for Obstacle Databases, and ARINC Specification 816: Embedded Interchange Format for Airport Mapping Database.

This document is based upon the SAE ARP5602 document, A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education. ARINC Report 807: Fiber Optic Training Requirements is a subset of the SAE ARP5602 document designed to meet the requirements of the commercial air transport industry. Certification to the SAE ARP5602 document fulfills the requirements of ARINC Report 807. This document defines recommended general practices for training requirements of aerospace fiber optic systems. It is the intention of this document to outline proven training practices and general standards of workmanship for technicians engaged in aerospace fiber optic manufacturing, installation, maintenance, and repair for the air transport industry. It is also recommended that management and purchasing personnel receive fundamental training to familiarize themselves with the requirements of aerospace fiber optics.

This Digital Annex (DA) contains the current, full-PDF version of ARP5149B, Training Program Guidelines for Deicing/Anti-Icing of Aircraft on Ground, as well as .jpeg format files of Appendix D, Application Guidelines Configuration, Critical Component, and Spray Area Diagrams for Aircraft. The .jpeg diagram files may be used by purchasers in accordance with the terms of the included license agreement.

"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.