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The optimization and further development of automated driving functions offers great potential to relieve the driver in various driving situations and increase road safety. Simulative testing in particular is an indispensable tool in this process, allowing conclusions to be drawn about the design of automated driving functions at a very early stage of development. In this context, the use of driving simulators provides support so that the driving functions of tomorrow can be experienced in a very safe and reproducible environment. The focus of the acceptance and optimization of automated driving functions is particularly on vehicle lateral control functions. As part of this paper, a test person study was carried out regarding manual vehicle lateral control on the dynamic vehicle road simulator at the Institute of Automotive Engineering.

Investigating human driver behavior enhances the acceptance of the autonomous driving and increases road safety in heterogeneous environments with human-operated and autonomous vehicles. The previously established driver fingerprint model, focuses on the classification of driving style based on CAN bus signals. However, driving styles are inherently complex and influenced by multiple factors, including changing driving environments and driver states. To comprehensively create a driver profile, an in-car measurement system based on the Driver-Driven vehicle-Driving environment (3D) framework is developed. The measurement system records emotional and physiological signals from the driver, including ECG signal and heart rate. A Raspberry Pi camera is utilized on the dashboard to capture the driver's facial expressions and a trained convolutional neural network (CNN) recognizes emotion. To conduct unobtrusive ECG measurements, an ECG sensor is integrated into the steering wheel.

As part of the safety validation of advanced driver assistance systems (ADAS) and automated driving (AD) functions, it is necessary to demonstrate that the frequency at which the system exhibits hazardous behavior (HB) in the field is below an acceptable threshold. This is typically tested by observation of the system behavior in a field operational test (FOT). For situations in which the system under test (SUT) actively intervenes in the dynamic driving behavior of the vehicle, it is assessed whether the SUT exhibits HB. Since the accepted threshold values are generally small, the amount of data required for this strategy is usually very large. This publication proposes an approach to reduce the amount of data required for the evaluation of emergency intervention systems with a state machine based intervention logic by including the time periods between intervention events in the validation process.

Cameras, radars, sensors, displays autonomous driving. car must support all these devices safe, secure, reliable. address challenges in-vehicle connectivity, multi-gigabit bandwidth, safetu, resilience data links, connectivity.

The 2024 On-Board Diagnostics Symposium-Europe (OBD-EU) continues to serve as the industry’s trusted event, providing regulatory and standards updates geared towards meeting European Commission and the California Air Resources Board ground vehicle emissions regulations.

The On-Board Diagnostics Symposium-Europe (OBD-EU) is the industry’s relied-upon resource for regulatory updates and standards reviews for light- and heavy-duty emissions controls.

A FREE networking event for ground mobility executives, startups and tech companies, UGM brings together leaders in development, software, design, quality assurance and urban planning for a productive and powerful summit that solves challenges — and secures long-term strategies for success in urban ground mobility.

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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.

When you exhibit or sponsor at the 2023 On-Board Diagnostics Symposium-Europe (OBD-EU) it is your greatest chance to get in front of the industry’s preeminent decision makers in 2022.

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