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Your search keyword '"Marchthaler, Reiner"' showing total 45 results
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45 results on '"Marchthaler, Reiner"'

10. Gütemasse

Author

Marchthaler, Reiner, Dingler, Sebastian, Marchthaler, Reiner, and Dingler, Sebastian

Published
2024
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15. Signaltheorie

Author

Marchthaler, Reiner, Dingler, Sebastian, Marchthaler, Reiner, and Dingler, Sebastian

Published
2024
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19. Semantic Segmentation for Autonomous Driving: Model Evaluation, Dataset Generation, Perspective Comparison, and Real-Time Capability

Author

Cakir, Senay, Gauß, Marcel, Häppeler, Kai, Ounajjar, Yassine, Heinle, Fabian, and Marchthaler, Reiner

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Robotics
Abstract

Environmental perception is an important aspect within the field of autonomous vehicles that provides crucial information about the driving domain, including but not limited to identifying clear driving areas and surrounding obstacles. Semantic segmentation is a widely used perception method for self-driving cars that associates each pixel of an image with a predefined class. In this context, several segmentation models are evaluated regarding accuracy and efficiency. Experimental results on the generated dataset confirm that the segmentation model FasterSeg is fast enough to be used in realtime on lowpower computational (embedded) devices in self-driving cars. A simple method is also introduced to generate synthetic training data for the model. Moreover, the accuracy of the first-person perspective and the bird's eye view perspective are compared. For a $320 \times 256$ input in the first-person perspective, FasterSeg achieves $65.44\,\%$ mean Intersection over Union (mIoU), and for a $320 \times 256$ input from the bird's eye view perspective, FasterSeg achieves $64.08\,\%$ mIoU. Both perspectives achieve a frame rate of $247.11$ Frames per Second (FPS) on the NVIDIA Jetson AGX Xavier. Lastly, the frame rate and the accuracy with respect to the arithmetic 16-bit Floating Point (FP16) and 32-bit Floating Point (FP32) of both perspectives are measured and compared on the target hardware., Comment: 8 pages, 7 figures, 9 tables

Published
2022

20. Adaptive Extended Kalman Filter (ROSE-Filter) for Positioning System

Author

Marchthaler, Reiner

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This paper illustrates the way for estimating position and orientation of a vehicle with an Extended Kalman Filter (EKF). For this purpose a non-linear model is designed and an adaptive calculation of measurement noise covariance matrix is used, a so called ROSE-Filter (Rapid Ongoing Stochastic covariance Estimation-Filter). Input of the system is the measured position from a two dimensional position system. Estimated is the pose (position and orientation) and the velocity of the vehicle.

Published
2021

29. Systemrauschen

Author

Marchthaler, Reiner, Dingler, Sebastian, Marchthaler, Reiner, and Dingler, Sebastian

Published
2017
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36. Künstliche Intelligenz verhindert Verkehrsunfälle

Author

Braun, Hans, Gerke, Michael, and Marchthaler, Reiner

Subjects
Collision Avoidance, Künstliche Intelligenz, Entropieoptimierung, Verkehrssicherheit, Stochastische Modellierung, Autonomes Fahren, 621.3
Abstract

The safety assessment of driving situations is of central importance for collision warning systems, driver assistance systems or autonomous driving vehicles. This article introduces a new method for safely evaluating complex driving situations. Some of the correlations about vehicle movements are described by stochastic models. The missing knowledge is generated by an artificial intelligence method, so that a complete stochastic model is available for safety assessment. This model provides information about cur-rent driving situations such as the probability of a collision with a front vehicle or the proba-bility of a serious collision. From these determined quantities, hazard warnings can be gener-ated, or braking maneuvers can be initiated, but also new driving functions can be analyzed already in the development phase. The application of the method is demonstrated by means of recorded vehicle movement data from a traffic simulation. A direct safety assessment in the vehicle is also possible while driving.

Published
2021
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40. A matter of reality

Author

Hartung, Julia, Kuhn, Nico, Quell, Patrick, Wacker, Konstantin, and Marchthaler, Reiner

Subjects
004 Informatik
Abstract

Due to the increasing relevance of data, more and more data from various sources is accumulated for a variety of purposes. At the same time, however, there is a shortage of data in areas where it is urgently needed. Particularly in the field of machine learning, there is a lack of good and usable training data. Therefore, this research paper is concerned with the virtual data acquisition for the training of neural networks. For this purpose, first an application was developed that aims to generate virtual, automatically labeled data. Subsequently, a neural network was trained on the generated virtual data and tested on real data.

Published
2019
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