Zusammenfassung
Foreword
Start-up future
It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.
As usual, we have prepared an up-to-date program with the familiar mixture of technically demanding and strategic papers and are sure that the ELIV platform will once again be a trendsetter for the automotive industry.
The CASE megatrends (Connected, Autonomous, Shared, Electric) continue to disrupt the industry. In the Connect environment, there is still a struggle for user-friendly services and competition amongst digital ecosystems is in full swing. The entry of powerful central computers into electronic architectures poses major challenges for all parties involved.
On the way from Level 2 to Levels 3, 4 and 5 all manufacturers are cur...
Schlagworte
Automatisiertes Fahren automated driving smart sensor infrastructure-assisted perception hybrid collaborated positioning automated parking radar simulation trajectory tracking operational fleet data grapf-based vehicle diagnostics machine learning vehicle health management- Kapitel Ausklappen | EinklappenSeiten
- 1–4 Forword 1–4
- 5–104 Automated Driving 5–104
- 105–142 Data Analytics 105–142
- 187–214 Software Technologies 187–214
- 215–236 Software 215–236
- 237–308 Software Technologies 237–308
- 309–394 Electronics Innovation 309–394
- 395–458 End-2-End Architecture 395–458
- 459–522 E-Mobility 459–522
- 523–612 E-Vehicle 523–612
- 613–652 Security 613–652
20 Treffer gefunden
- „... Graph-based Vehicle Diagnostics using Machine Learning Potential of Graph Neural Networks for ...” „... . Machine learning on graphs is one way to achieve this by learning from experimental fault data located in ...” „... data from fault experiments to classify the fault cause through machine learning. This is generally ...”
- „... Machine learning approach towards remote diagnostics and repair of electric vehicle charging ...” „... during their usage. Therefore, this paper firstly suggests using machine learning to allow vehicles to ...” „... seen with other problems, Machine learning (ML) algorithms can help automating related processes ...”
- „... State of Health and State of Charge Estimation method – A Machine Learning based hybrid approach ...” „... methods but estimate battery parameters based on neural networks, support vector machines, and ...” „... successfully combined with a supervised learning neural network to predict the Remaining Useful Life (RUL) of ...”
- „... .2.2.15796.91521. [6] A. P. Sligar, "Machine Learning-Based Radar Perception for Autonomous Vehicles Using Full ...” „... Ansys Real Time Physics Based Radar Simulation An Enabler for Machine Learning in the Context of ...” „... valid and accurately labeled datasets is essential. By enabling Machine Learning (ML) in ...”
- „... of machine learning models in between different fleets (inter-fleet transfer learning). This enables ...” „... like in [26]. When launching new BEV fleets, reliable machine learning models suitable for the new ...” „... .: Edge Machine Learning for AI-Enabled IoT Devices: A Review. Sensors, 20, (2020), 9, S. 1–34 [20 ...”
- „... learned from the training cases, and most important 3.) what has not been learned. Machine Learning ...” „... . With AI, the result of a machine learning process is used. Fig. 1: Comparison of classic software ...” „... the reality. Machine Learning research relating to this topic is investigating the generalization ...”
- „... Based Radar Simulation – An Enabler for Machine Learning in the Context of Autonomous Driving ...” „... , Wolfsburg; T. Meisen, Bergische Universität Wuppertal Graph-based Vehicle Diagnostics using Machine Learning ...” „... 151 U. Bodenhausen, Vector Consulting Services GmbH, Stuttgart Machine learning approach towards ...”
- „... . Nonlinearities can be better described by Machine Learning (ML) models, where neural networks (NN) can be used ...” „... . Queiroz und K. Czarnecki, „An Analysis of ISO 26262: Using Machine Learning Safely in Automotive Software ...” „... ,“ 2017. [Online]. [13] J. Henriksson, M. Borg und C. Englund, „Automotive safety and machine learning ...”
- „... can be seen in Figure 9. Machine learning algorithms can be implemented into specific safety domains ...” „... suitable machine learning algorithms. As an outlook, the taken considerations for onboard components have ...” „... interacts with the virtual machines. These virtual machines, which are controlled and monitored by the ...”
- „... Learning approaches based on the usage of Multi-Layer Perceptron (MLP) or Support Vector Machine (SVM ...” „... , R., Kim, C., Elgharib, M., Durand, F. E., Freeman, W. T., & Matusik, W. (2018). Learning-based ...” „... driver's drowsiness through the use of Deep Learning have been analysed [10] - [11]. In [12] the authors ...”
- „... , artificial intelligence, machine learning etc. VDI-Berichte Nr. 2384, 2021 579 The electric vehicles (EV ...” „... Long Short-Term Memory (LSTM), a machine learning approach. Proposed Digital Twin Architecture ...” „... parameters. Also, a learning-based prediction technique is proposed to estimate the health status of battery ...”
- „... in combination with machine learning algorithms offers new approaches to vehicle health management ...” „... testing machine design. Whatever the reason, NTF causes inefficiencies and cost. But by combining ...” „... Reasoner in Fig. 16). By using additional information from a batch of time-series data, a machine ...”
- „... machine learning and for validation [2]. Also, the number of different scenarios that are required for ...” „... machine learning and validation, cannot be covered by real test drives any more. The extensive use of ...”
- „... . While driving this evolution of connected machines, it is also important to keep a high level of Car2X ...” „... communication to non-machine interfaces like human beings. Communication with pedestrians or human drivers is ...” „... intuitivity or learning rate [7, 11]. VDI-Berichte Nr. 2384, 2021340 Purpose of each communication ...”
- „... engineering, machine learning, cryptography/security, tool design, etc. This transfer is crucial for the ...” „... , Software-Defined Vehicles (SDVs) will be one of the most complex machines the world has ever seen, and if we look ...” „... at machines for mass deployment, then assuredly the most complex. This level of intricateness ...”
- „... Architecting for Secure, Safe and Agile Software Defined Vehicles Learnings from the Personal ...” „... large, new, set of challenges – and we shall examine each of these to see what learnings can accelerate ...” „... machine. Software agility was very low because few companies made software for the PCs. Software was ...”
- „... Architecting for Secure, Safe and Agile Software Defined Vehicles Learnings from the Personal ...” „... large, new, set of challenges – and we shall examine each of these to see what learnings can accelerate ...” „... machine. Software agility was very low because few companies made software for the PCs. Software was ...”
- „... being on the critical path. With large leaps in technology and emerging smart machine learning control ...” „... self-learning algorithms to maximize test coverage. Thousands of functional requirements are systematically ...”
- „... technology are progressively blurred, we are learning to look at technology as more than a convenience. We ...” „... and his machine. Summary Silentium's technology platform offers a unique solution relevant to ...”
- „... groups (SoCs) are integrated for specific sensor-, deep learning based data or high-definition graphics ...” „... — Advanced, Software- Defined Platform for Autonomous Machines”, NVIDIA Press Releases, 12/2019 [2] P. Oel ...”