@inproceedings{RaiynWeidl2023, author = {Raiyn, Jamal and Weidl, Galia}, title = {Improving Autonomous Vehicle Reasoning with Non-Monotonic Logic: Advancing Safety and Performance in Complex Environments}, series = {IEEE International Smart Cities Conference (ISC2)}, booktitle = {IEEE International Smart Cities Conference (ISC2)}, doi = {10.1109/ISC257844.2023.10293463}, year = {2023}, subject = {K{\"u}nstliche Intelligenz}, language = {en} } @inproceedings{ValenciaNormannSapsaietal.2023, author = {Valencia, Yeimy and Normann, Marc and Sapsai, Iryna and Abke, J{\"o}rg and Madsen, Anders L. and Weidl, Galia}, title = {Learning Style Classification by Using Bayesian Networks Based on the Index of Learning Style}, series = {ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education, June 2023}, booktitle = {ECSEE '23: Proceedings of the 5th European Conference on Software Engineering Education, June 2023}, doi = {10.1145/3593663.3593685}, pages = {73 -- 82}, year = {2023}, subject = {Lernstil}, language = {en} } @inproceedings{WeidlRaiynBerres2023, author = {Weidl, Galia and Raiyn, Jamal and Berres, Stefan}, title = {Does a livable city profit from a shared CCAM Shuttle Bus on demand?}, series = {International Symposium on Transportation Data \& Modelling (ISTDM2023), June 2023}, booktitle = {International Symposium on Transportation Data \& Modelling (ISTDM2023), June 2023}, year = {2023}, abstract = {Livable cities measure quality-of-life factors such as transportation, convenience of daily life, education, and a safe and stable built and natural environment. Livability of a city includes also some social and psychological factors, like emotion and perception. How do we realize the advantages of new technology under mixed traffic conditions, while observing all daily requirements on safety, convenience and high education needs?}, subject = {Stadtentwicklung}, language = {en} } @inproceedings{ChaarWeidlRaiyn2023, author = {Chaar, Mohamad Mofeed and Weidl, Galia and Raiyn, Jamal}, title = {Analyse the effect of fog on the perception}, series = {Conference: International Symposium on Transportation Data \& Modelling (ISTDM 2023)}, booktitle = {Conference: International Symposium on Transportation Data \& Modelling (ISTDM 2023)}, year = {2023}, subject = {Autonomes Fahrzeug}, language = {en} } @inproceedings{RaiynWeidl2023, author = {Raiyn, Jamal and Weidl, Galia}, title = {Naturalistic Driving Studies Data Analysis Based on a Convolutional Neural Network}, series = {VEHITS 2023: 9th International Conference on Vehicle Technology and Intelligent Transport Systems}, booktitle = {VEHITS 2023: 9th International Conference on Vehicle Technology and Intelligent Transport Systems}, doi = {10.5220/0011839600003479}, year = {2023}, abstract = {The new generation of autonomous vehicles (AVs) are being designed to act autonomously and collect travel data based on various smart devices and sensors. The goal is to enable AVs to operate under their own power. Naturalistic driving studies (NDSs) collect data continuously from real traffic activities, in order not to miss any safety-critical event. In NDSs of AVs, however, the data they collect is influenced by various sources that degrade their forecasting accuracy. A convolutional neural network (CNN) is proposed to process a large amount of traffic data in different formats. A CNN can detect anomalies in traffic data that negatively affect traffic efficiency and identify the source of data anomalies, which can help reduce traffic congestion and vehicular queuing.}, subject = {Autonomes Fahrzeug}, language = {en} }