SAFETYNEWS 23/09/2024

SAFETYNEWS 23/09/2024

Check out the latest safety advancements in SAFETYNEWS! Let's look at two important updates to get you started:

  • Kistler acquires Crash Test Analysis Software from IAT
  • Automated Driving: ZF and Infineon use AI Algorithms to optimize Software and Control Units for Driving Dynamics


KISTLER ACQUIRES CRASH TEST ANALYSIS SOFTWARE FROM IAT

In August 2024, the Kistler Group, a leader in dynamic measurement technology, acquired software products for crash test analysis from Ingenieurgesellschaft für Automobiltechnik mbH (IAT). The new products, including EVAluation PC/NCAP, ISOVerter, EVA-Calib, CrashView and Load Cell Wall View, will significantly expand Kistler's analysis capabilities in the field of vehicle safety testing.

Strategic strengthening of measurement technology for vehicle safety tests through targeted software integration

With this step, Kistler is strengthening its market position in the field of vehicle safety and expanding its existing portfolio. "The acquisition of the IAT software products is perfectly in line with our strategy to offer comprehensive solutions in the field of vehicle safety testing. Thanks to the integration into our portfolio, we can offer our customers a seamless, efficient and comprehensive suite of tools for crash test analysis," explains Thomas Warkentin, Head of Business Unit Passive Safety at Kistler Group.

Orientation for the future: integrated measurement technology solutions and continuous innovation

Kistler customers will benefit from a comprehensive, integrated solution that covers all aspects of vehicle safety testing. Dirk Vetter, Product General Manager at IAT, emphasizes: "The further development of our software solutions by Kistler also guarantees the highest standards and excellent customer service in the future." Optimized system integration and improved data management lead to cost savings and efficiency gains. Kistler aims to continuously develop its measurement technology in the field of vehicle safety and crash testing. This initiative strengthens the cooperation with leading manufacturers in the automotive industry and Kistler's position as an innovation leader in the field of vehicle safety.

More Information: kistler.com

Author/Source: Kistler

The text, images, graphics, sound files, animation files, video files and their arrangement on the news sites are all subject to Copyright and other intellectual property protection. The author resp. the authors can be find on the more information link.


AUTOMATED DRIVING: ZF AND INFINEON USE AI ALGORITHMS TO OPTIMIZE SOFTWARE AND CONTROL UNITS FOR DRIVING DYNAMICS

AI algorithms from ZF accelerate development and bring AI into ZF products

  • AURIXTM?TC4x microcontroller from Infineon enables AI algorithms thanks to Parallel Processing Unit (PPU)?
  • EEmotion: Project co-funded by the German Federal Ministry for Economic Affairs and Climate Action

Trucks automatically driving behind one another on the highway, 'platooning', or cars automatically changing lanes: Here vehicle movements have to be calculated and executed precisely and quickly without a human driver. Software and AI algorithms safely control the drive, brakes, front and rear wheel steering and damping systems. The more efficient the AI algorithms are, the better the available computing power can be used.

The ZF Group and Infineon Technologies AG have jointly developed and implemented AI algorithms for the development and control of vehicle software as part of the EEmotion project. The project was co-funded by the German Federal Ministry for Economic Affairs and Climate Action. The AI algorithms developed in the project, proven in a test vehicle, control and optimize all actuators during automated driving according to the specified driving trajectory.?

ZF has added AI algorithms to its two existing software solutions cubiX and Eco Control 4 ACC, which have been implemented on Infineon’s AURIXTM?TC4x microcontroller (MCU) with integrated Parallel Processing Unit (PPU). The result: More efficient artificial intelligence algorithms and better utilization of computing power. This in turn leads to better driving performance and increased driving safety. Compared to conventional approaches without AI, the two companies have now proven that their solution can for example carry out automated lane changes much more accurately. The energy efficiency of driver assistance systems such as Adaptive Cruise Control has also been increased. The improved driving performance combined with lower computing power demands paves the way for cost-efficient Level 2+ assistance systems.

"The EEmotion funding project shows that our artificial intelligence-based algorithms provide our customers with new advantages: AI makes it possible for products to be equipped with new functions and to be developed faster and more efficiently," said Torsten Gollewski, Head of Research and Development at ZF.

“With our world-leading semiconductor products, software and services, Infineon enables customers to develop their own AI applications,” said Peter Schiefer, President of Infineon’s Automotive Division. “Our AURIX TC4x is ideally suited for in-car AI applications because its Parallel Processing Unit enables the fast and parallel processing of data that is essential for artificial intelligence, heralding the next stages of automated and ultimately autonomous driving."

"The EEmotion project successfully integrated artificial intelligence into the safety-critical functions of the vehicle control system; this was validated on the software side, making further progress towards highly automated driving possible," said Ernst Stoeckl-Pukall, Head of the Digitization and Industry 4.0 department at the Federal Ministry for Economic Affairs and Climate Action. "The project has thus provided important impetus that has strengthened the innovative power and competitiveness of the German automotive industry."

Software-based chassis control optimized with AI

ZF's cubiX software makes it possible to control all chassis components in passenger cars and commercial vehicles. This includes longitudinal and lateral dynamics as well as the vehicle's vertical dynamics. In addition, the Eco Control 4 ACC predictive cruise control system is being further developed using a computationally intensive optimization algorithm and model-predictive control to achieve as much as 8 percent more range under real driving conditions. The EEmotion project has also developed AI algorithms which are applied as early as during the development phase. This allows more efficient design of vehicle software which can then be made available to customers more quickly. The accelerated and AI-supported application of vehicle software offers vehicle manufacturers clear advantages when adapting to different vehicle models.

Microcontroller from Infineon enables use of AI algorithms

Lean, AI-based algorithms require a lot of computing power, which makes it advisable to integrate them into high-performance microcontrollers such as the AURIX TC4x. Infineon's AURIX TC4x microcontrollers offer high real-time and implement the latest trends in AI modelling, virtualization, functional safety, cybersecurity and networking functions. They pave the way for new E/E architectures and the next generation of Software-Defined Vehicles (SDV). An important part of the AURIX TC4x is the Parallel Processing Unit, which supports powerful AI applications thanks to fast and parallel data processing.?

About the EEmotion project

The EEmotion project's objective was to develop an AI algorithm-based control system for automated driving that ensures more precise trajectory control in various driving situations. The implementation of the project included the definition of the requirements for the AI-based functions, the development of an overall concept and corresponding hardware as well as developing the integration of AI in control architectures for safety-critical applications. It also took aspects such as the development of secure AI-monitored communication and the investigation of the simulative development and validation of vehicle dynamics systems into account. Infineon Technologies AG acted as the consortium coordinator for the project, with a total volume of 10.4 million euros, 59 percent of which was funded by the German Federal Ministry for Economic Affairs and Climate Action. The project ran from September 2021 to August 2024 and included partnerships with ZF Friedrichshafen AG, b-plus technologies GmbH, samoconsult GmbH, RWTH Aachen University and the Universit?t zu Lübeck.?

More Information: press.zf.com

Author/Source: ZF

The text, images, graphics, sound files, animation files, video files and their arrangement on the news sites are all subject to Copyright and other intellectual property protection. The author resp. the authors can be find on the more information link.


These two topics offer a sneak peek into our latest SAFETYNEWS edition.

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