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Publikationen und Forschungsarbeit

Hier finden Sie einen Überblick über die Publikationen und Forschungsarbeit der Rhineland Mechatronics Academy.

Schematic working principle of a Lidar Sensor according to

Development of a lidar model for the analysis of borderline cases including vehicle dynamics in a virtual city environment in real time

Advanced driver assistance systems are an important step on the way towards the autonomous driving. However, there are new challenges in the release of increasingly complex systems. For the testing of those systems many test kilometers are necessary to represent sufficient diversity. Hence, the virtual testing of driver assistance systems brings new opportunities.

Methodical approach to the development of a radar sensor model for the detection of urban traffic participants using a virtual reality engine

New approaches for testing of autonomous driving functions are using Virtual Reality (VR) to analyze the behavior of automated vehicles in various scenarios. The real time simulation of the environment sensors is still a challenge. In this paper, the conception, development and validation of an automotive radar raw data sensor model is shown.

Virtual urban traffic infrastructure for testing highly auto-mated mobility systems

Recently, virtual realities and simulations play important roles in the development of urban traffic infrastructure. By an appropriate abstraction, they help to design, investigate and communicate inner-city development processes. Especially, to investigate interactions between infrastructure and future mobility participants, a valid virtual model is essential for functionality and reliability.

Integration of driving physical properties into the development of a virtual test field for highly automated vehicle systems

For many years now, models for representing reality have played a decisive role in the development of control systems. By appropriate abstraction they help to design an efficient development process. Especially in the development of Advanced Driver Assistance Systems (ADAS) a valid virtual development environment is crucial for functionality and reliability.

Schematically illustration of the overall model structure

CityInMotion – A virtual urban test environment for automated mobility

Efficient methodologies for the development and validation of highly-automated vehicle systems play an increasingly important role in urban mobility. In addition, the requirements for simulation and verification environments are highly increasing due to a wide range of automation functions to be integrated and validated in the near future.

Schematically illustration of the remapping method

Methodical approach to integrate human movement diversity in real-time into a virtual test field for highly automated vehicle systems

Recently, virtual realities and simulations play important roles in the development of automated driving functionalities. By an appropriate abstraction, they help to design, investigate and communicate real traffic scenario complexity. Especially, for edge cases investigations of interactions between vulnerable road users (VRU) and highly automated driving functions, valid virtual models are essential for the quality of results.

Processing steps for VRU-model implementation

Integration of vulnerable road users behavior into a virtual test environment for highly automated mobility systems

Human road users are the most vulnerable participants in urban traffic. This is due on the one hand to their spatial proximity to other road users, and on the other hand to the individuality of their behavior and decision-making processes. For this reason, they play a crucial key role for the development of highly automated vehicle systems – especially for urban environments.

Schematic representation of data expenditures in the urban virtual test field

Data flow management requirements for virtual testing of highly automated vehicles

Efficient simulation environments for the development, calibration and approval of highly automated vehicle systems are regarded as a decisive key to accelerating technological progress in this field. Especially urban environments with their high diversification of requirements pose a particular challenge.

Model-based approach to investigate the influences of different load states to the vehicle dynamics of light electric vehicles

The need to find alternative urban mobility solutions for delivery and transport has led mobility companies to devote enormous resources for researchbased solutions to increase vehicle safety. This paper documents a virtual approach to investigate the influences of different load states to the vehicle dynamic of light electric vehicle.

Overall system with driver, controller and drivetrain hardware

Approach on a model based current regulator design for an electric drive unit using a holistic system design with driver and driving cycle

Model based engineering is especially for the development of high performing control systems essentially. By means of suitable simplifications, they help to present technical relationships and express them mathematically. Thereby, active controllers to influence the system behavior could be developed in an efficient and reliable way.

Methodical data collection for light electric vehicles to validate simulation models and fit AI-based driver assistance systems

Electric bicycles and cargo bikes have become an indispensable part of today´s road traffic. This is caused by high diversity of applications and available products. Due to the growing interest, the demand of driver assistance systems (DAS) and safety concepts for light electric vehicles is increasing.

Markers setup -Doppler Analysis of Human Body Parts in Motion

Angular resolved RCS and doppler analysis of human body parts in motion

The backscattering models of complex traffic targets play a critical role in the current evolvement of over-the-air (OTA) validation test methods and, consequently, the validation and verification of advanced driver assistance systems (ADAS). Furthermore, stimulating the operational behavior of the automotive radar sensor in an OTA vehicle-in-the-loop (ViL) environment requires radar cross section (RCS) and Doppler signatures related to the movement of vulnerable road users (VRUs), especially pedestrians in traffic scenarios.

Interaktion mit verletzlichen VRU im urbanen Umfeld

Einsatz von Motion Capture zur Absicherung automatisierter Fahrfunktionen

Effiziente Methoden für die Entwicklung und Validierung von hochautomatisierten Fahrzeugsystemen spielen in der Mobilitätsindustrie eine immer wichtigere Rolle. Insbesondere die Einführung innovativer Assistenz- und Automatisierungsfunktionen erfordern neue Methoden in der Simulations- und Prüfstandstechnik.

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