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Python based Machine Learning with Automotive Applications
Simulation of Automated Vehicles - MODULE B: Sensors
Material Models of Composites for Crash Simulation 
16th Graz Symposium Virtual Vehicle; September 13 - 14, 2023; Graz, AustriaThe GSVF 2023 serves as a platform to discuss challenges and strengths of recent advances in virtual-enriched system development and operation. Industry currently moves away from strictly vertical to broadly horizontal vehicle system development approaches. The call for papers is looking for the most innovative and disruptive ideas and ends May 24, 2023. >>14th European LS-DYNA Conference; October 18 - 19, 2023; Baden-Baden, GermanyWith about 200 technical presentations, top-class keynotes, an accompanying exhibition and numerous international participants from industry and research, the conference is the central event around LS-DYNA in Europe. The deadline for submitting presentations has been extended to June 16, 2023. >>COMSOL Conference 2023; October 25 - 27; Munich, GermanyThe COMSOL Conference brings together detail-oriented, creative thinkers who come from a wide range of technical backgrounds and industries but all share a common interest in multi-physics simulation. At the 2023 conference, you will see real-world examples of how multi-physics simulation is enabling engineers and scientists designing innovative products and perform cutting-edge research. >>
Version 12.0 of the CarMaker Product Family Shines with New FeaturesThe new release offers high compatibility with ASAM simulation standards. In addition to support for the latest OpenDRIVE version, scenarios defined in OpenSCENARIO format can now be imported directly and simulated in CarMaker using the OpenSCENARIO Converter, which is now available as an add-on. >>VOLTA and modeFRONTIER 2023R1 Available NowmodeFRONTIER comes with a new Python Scheduler bridge. VOLTA adds support for Single sign-on (SSO) authentication as an option for centralized management of user accounts across multiple applications. >>ANSA Articulation Tool Metadata Available for THUMS TUC ModelUpon request, BETA CAE Systems has created metadata for the THUMS TUC model that will be used for the ANSA Articulation Tool. Where possible, the reference points of the joints defined by the TUC project were used for this purpose. >>
ASAM e. V. Awards Honorary Membership to Dr. Klaus EstenfeldAt the ASAM General Assembly 2023, Dr. Klaus Estenfeld has been awarded honorary membership of ASAM e.V. With this award, ASAM honors its former Managing Director for his dedication and achievements in promoting ASAM and its standards. >>Austrian Chancellor Karl Nehammer Visits AVLWhat are the future trends and where are the technological developments in the Austrian mobility sector heading? These and other exciting questions were addressed by Chancellor Karl Nehammer during his visit to AVL headquarters in Graz as part of the "Automobilwoche". At the top of the agenda was the exchange on the topic of sustainable and new drive systems on the way to decarbonization of the automotive sector. >>Change in IAV's Top Management - Matthias Kratzsch Leaves IAVThe Supervisory Board of IAV GmbH announced that Matthias Kratzsch, Chairman of the Executive Board, will not be available for a further contract extension at his own request. His mandate will thus end on June 30, 2023, with Uwe Horn becoming the new CEO. Karsten Gierke will become COO. >> |
 Successful automotive CAE Grand Challenge 2023!On April 25th and 26th, the 15th automotive CAE Grand Challenge took place in Hanau and on the Internet. In 7 sessions, speakers from industry, research and software development reported on their efforts to overcome the current, critical challenges of automotive CAE. In addition, attendees gained valuable information at workshops hosted by our partners Altair, ASC(S, BETA CAE Systems and Oasys LS-DYNA Environment and from the 16 exhibitors. The next automotive CAE Grand Challenge will take place on April 16th and 17th, 2024! read more ...
Seminar: Python Based Machine Learning with Automotive Applications
read more ... AIMM Project Systematization of Load Case Definition in Component Tests
read more ... Altair Announces Global Student Contest on Topology Optimization
read more ... Synthetic Sensor Data from Validated Simulation Models
read more ... RC Cars, VR, and Haptic Feedback Transform Automotive Engineering
read more ... Autonomous Driving Validation Library - A New Way to Test and Validate Autonomous Vehicles
read more ... Altair Releases Altair SimSolid Cloud for Split-second Structural Simulation
read more ... What is Multibody Dynamics?
read more ... Artificial Intelligence and Mobility: VIRTUAL VEHICLE Researches on Major International Projects
read more ... Order the automotive CAECompanion 2023/24 now!
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read more ... Seminars and EventsRegister now! carhs.training seminars and events for automotive safety. All seminars are available as in-house trainings in both German and English!
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www.carhs.de | trainingcenter@carhs.de carhs.training gmbh | Siemensstrasse 12 | 63755 Alzenau, GermanyManaging Director: Constantin Hoffmann, Rainer Hoffmann Register Court: Aschaffenburg HRB 9961 | VAT Identification Number: DE 811 763 176 |
30.05.2023 - 02.06.2023 in Online
The topic of Artificial Intelligence (AI) is currently becoming more and more dominant, especially in areas where processes are automated and lots of data are processed. Especially in the automotive environment, numerous applications are conceivable, both in virtual development and in testing. The seminar is aimed at interested parties in the CAE or test environment who want to take the first steps in machine learning based on their Python knowledge. 
Component tests are complex and expensive. Therefore, it is necessary to perform them in such a way that maximum benefit can be derived from the data obtained. In the currently running AIMM project (Artificial Intelligence for Material Models), novel material models based on Machine Learning (ML) are being developed. Component tests are used to validate such models. With their help, the model should ideally be validated at all theoretically possible strain states. Therefore, in a suitable test, as many of these states as possible must occur in the component during loading.
The contest is designed to raise awareness on lightweight design through topology optimization, introduce students to the capabilities of this technology, help them improve their skills and, most importantly, make the technology fun. Students are asked to optimize a design of their choice that demonstrates significant weight reduction while maintaining structural integrity using Altair Inspire or other Altair software solutions.
Validated sensor models make it possible to generate realistic sensor data for different scenarios and environmental conditions. Based on these synthetic sensor data, the amount of real measurement data for the development and testing of ADAS/AD perception functions can be significantly reduced, enabling a faster and more cost-effective development process.
Engineering students test their algorithms on scaled vehicles: Classroom experience only gets you so far when studying automotive engineering. But testing full-sized cars requires a lot of space for a test track and lots of money for vehicles. As a result, many engineering programs are unable to provide students with the level of hands-on experience they need to work in the industry. Hamburg University of Applied Sciences (HAW Hamburg) found a creative way for students to gain this hands-on experience.
As the world moves towards a future of autonomous vehicles (AVs), it becomes increasingly important to ensure that these vehicles are safe and efficient. To achieve this, commercial companies and researchers worldwide are developing new technologies and methods to test and validate AVs. One such solution is Cognata s Autonomous Driving Validation Library (ADVL), a combination of a scenario-based simulation engine and a comprehensive library of scenarios aimed at testing and validating AVs through standard packages of different driving scenarios.
A branch of structural dynamics, multibody dynamics simulation is an engineering method used to digitally model systems with many interconnected parts. Because these systems can be extremely complex - involving hundreds of bodies in constantly changing states of motion - multibody dynamics simulation is essential to predict a system s complete behavior and structural worthiness.
At VIRTUAL VEHICLE, research is currently being conducted in more than ten major international projects with a focus on AI in mobility. AI can be found in many areas: automotive, autonomous rail transport, electromobility as well as network optimization up to autonomous systems in medical robotics. With its expertise, VIRTUAL VEHICLE is active at the European level in projects with a total volume of over 150 million euros. AI is an innovation driver that makes many things possible but also has limitations.
The new 
carhs.training offers all seminars as in-house and as online seminars at attractive conditions. Talk to us!
