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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.

The emergence of connected vehicles is driven by increasing customer and regulatory demands. To meet these, more complex software applications, some of which require service-based cloud and edge backends, are developed. Due to the short lifespan of software, it becomes necessary to keep these cloud environments and their applications up to date with security updates and new features. However, as new behavior is introduced to the system, the high complexity and interdependencies between components can lead to unforeseen side effects in other system parts. As such, it becomes more challenging to recognize whether deviations to the intended system behavior are occurring, ultimately resulting in higher monitoring efforts and slower responses to errors. To overcome this problem, a simulation of the cloud environment running in parallel to the system is proposed. This approach enables the live comparison between simulated and real cloud behavior.

This paper proposes a novel approach to the design of a Hardware Abstraction Layer (HAL) specifically tailored to embedded systems, placing a significant emphasis on time-controlled hardware access. The general concept and utilization of a HAL in industrial projects are widespread, serving as a well-established method in embedded systems development. HALs enhance application software portability, simplify underlying hardware usage by abstracting its inherent complexity and reduce overall development costs through software reusability. Beyond these established advantages, this paper introduces a conceptual framework that addresses critical challenges related to debugging and mitigates input-related problems often encountered in embedded systems. This becomes particularly pertinent in the automotive context, where the intricate operational environment of embedded systems demands robust solutions. The HAL design presented in this paper mitigates these issues.

The use of lightweight complex heterogeneous structures increased during the last years principally in the transportation sector (i.e., aviation and trains). This sector's technology enhancement pursues reducing long-term CO2 emissions and increasing efficiency. Lightweight structures may have poor vibro-acoustic behavior and in designs with complex shapes and material heterogeneities, its vibro-acoustic modeling brings new challenges in terms of accuracy and computational cost. Techniques such as model order reduction, homogenization, mesh and meshless methods (with and without periodicity conditions) and energy methods are typically employed to tackle this problem. Within homogenization techniques, an equivalent properties strategy can be utilized to equivalently represent complex structures into more simple ones (for example, a single layer panel).

Forge connections, strengthen relationships, and create opportunities by exhibiting or sponoring at the 2024 On-Board Diagnostics Symposium-Europe.

Contact a member of the 2024 SAE On-Board Diagnostics Symposium-Europe sales team about exhibiting or sponsoring.

Learn more about how you can exhibit or sponsor at the 2022 Thermal Management Systems Symposium.

Contact a member of the 2024 SAE On-Board Diagnostics Symposium-Europe team for any questions regarding the event.

Contact a member of the 2022 Thermal Management Systems Symposium team.

September 17-19, 2019 │ Garden Grove, CA, USA

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

Explore the exhibit and sponsor opportunities at the Urban Ground Mobility Digital Summit.

Plan your trip for the 2023 Thermal Management Systems Symposium.

If you’re working to balance the implementation of today’s urban ground mobility (UGM) vehicles with tomorrow’s biggest challenges and opportunities, then you belong at the premier of SAE’s Urban Ground Mobility Digital Summit.

Thermal Management Systems Symposium technical program is created for engineers by engineers with topics such as climate, thermal management, battery, cabin, thermal systems and more.