Development and Experimental Validation of an Intelligent Camera Model for Automated Driving

Article Transportation

Performance evaluation of a state-of-the-art automotive radar and corresponding modeling approaches based on a large labeled dataset

Stefan Muckenhuber et al.

Summary: This article thoroughly analyzes radar data, investigates radar properties and detection probabilities under different parameters, and presents radar models of varying complexity. Feature importance analysis using machine learning algorithms reveals that object class, size, and visibility are the most important parameters for the presented radar models.

JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2022)

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Article Chemistry, Analytical

Motorway Measurement Campaign to Support R&D Activities in the Field of Automated Driving Technologies

Viktor Tihanyi et al.

Summary: A significant measurement campaign was conducted on a real-world motorway stretch in Hungary, resulting in vehicle and infrastructure sensor data that will be valuable for future automotive R&D activities. The campaign aimed to create an Ultra High Definition map of the test road and collect detailed data through special test scenarios and different sensors. This data set with ground truth labeling can support a wide range of solutions for testing and validating various approaches and techniques.

SENSORS (2021)

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Article Chemistry, Analytical

Configurable Sensor Model Architecture for the Development of Automated Driving Systems

Simon Schmidt et al.

Summary: This article introduces a configurable sensor model architecture that supports flexible and continuous use of sensor models, improving reusability and adaptability. A practical application of this architecture is demonstrated using two exemplary sensor effects, showcasing its utility in real-world scenarios.

SENSORS (2021)

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Article Computer Science, Artificial Intelligence