http://hdl.handle.net/20.500.14044/33865 Tue, 21 Jul 2026 07:26:05 GMT 2026-07-21T07:26:05Z http://hdl.handle.net/20.500.14044/33120 Investigating the Energetics of Electric Vehicles, based on Real Measurements Tollner, Dávid; Zöldy, Máté Electric vehicles can offer a real alternative for mobility in the 21 st Century, but the extent of their long-term wear and degradation is unknown. Obviously, both traffic and users have to adapt to the new types of drivetrains, as these cars can be driven optimally in a completely different style. A new measurement and evaluation methodology has been developed, and various tests have been defined to investigate the key questions of electric cars. We showed that energy consumption can be reduced by more than 1/3 at optimum ambient temperatures, compared to 0 °C. We examined the correlation between speed and energy consumption on highway, and found that reducing the average speed from 105 km/h to 85 km/h can increase the range by up to 40%. Finally, we calculated that at 50,000 km of mileage, the battery only degrades by 11%. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/33120 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33119 Investigating Safety Effects of PKI Authentication, in Automotive Systems Pethő, Zsombor; Kazár, Tamás Márton; Kraudy, Roland; Szalay, Zsolt; Török, Árpád Our study analyses the safety effects of Public Key Infrastructure (PKI), based authentication mated, related to certain wireless communication based automotive functions. The first part of the article focuses on quantifying the safety effect of quality of service (QoS) parameters in the case of wireless communication based automotive functions. Based on this concept, the paper discusses two scenarios: in the first case, there is no authentication process applied during the communication, and in the second case, the communication is secured by PKI authentication. This concept allows us to evaluate the safety effect of the security overhead caused by the additional computation demand related to the authentication process. Considering the results of our research, it becomes possible to define the requirements and expected conditions, regarding the operational circumstances Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/33119 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33116 Neural Network-based Multi-Class Traffic-Sign Classification with the German Traffic Sign Recognition Benchmark Ferencz, Csanád; Zöldy, Máté Traffic-sign detection has an essential role in the field of computer vision, having many real-world applications more and more object recognition and classification task is being solved by using Convolutional Neural Networks (CNNs or ConvNets), especially in the field of intelligent transportation. In the present article, we offer an implementation chosen from several CNN-based traffic-sign recognition and classification algorithm architectures, using a ConvNet classifying 43 different types of road traffic signs in the TensorFlow framework, as part of the German Traffic Sign Recognition Benchmark (GTSRB) competition. A Deep ConvNet was trained end-to-end, aiming to improve the prediction performance of a DCNN-based autonomous driving system equipped with a front-facing digital camera, with as input a sequence of images, as output directly the prediction results. The results obtained on held-out data demonstrated the high accuracy of the model, matching the state-of-the-art multi-class recognition and classification accuracies, as well as related human-level recognition performances. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/33116 2024-01-01T00:00:00Z http://hdl.handle.net/20.500.14044/33114 Trends in Cognitive Mobility in 2022 Zöldy, Máté; Baranyi, Péter; Török, Ádám Cognitive mobility framework has developed in the year 2022. The first international scientific congress (1st IEEE Cognitive Mobility at Bosch Budapest Innovation Center – CogMob Conference) was organised to create a space for sharing thoughts and starting conversations about the topic. This paper aims to summarise and evaluate the main tendencies of cognitive mobility. After reviewing the presented papers, there were evaluated according to essential elements of cognitive mobility, and statistical analysis was carried out to evaluate the papers. In our work, the five core topics of cognitive mobility in 2022 were defined and evaluated according to the essential elements. The similarity measure and proximity index-based evaluation of the abstracts and the keywords show that sustainability-related topics, energy sources, and their utilisation area are the most frequented. The tendency is expected to continue, but the international military situation could influence the weight of the topics. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/20.500.14044/33114 2024-01-01T00:00:00Z