Claytex

Seasons Greetings from all of us at Claytex 🎄🥳🎉 We would like to thank our colleagues, partners, and customers for their continued support. Wishing you joy, peace, and success in the coming year. #SeasonsGreetings #HappyHolidays

New Blog 💡 Wait, Dymola variable length array parameters at run-time!? - Claytex Tech Blog - By: Nathan Horn, Vice President Claytex USA Variable length array parameters are here defining parameter array sizes at run-time; an incredible improvement over all Dymola versions prior to 2025x! Find out more in our blog ↯ https://hubs.ly/Q02_Mdzk0 #ClaytexTechBlog #Dymola #Dymola2025x #variable #simulation

Dymola 2025x is Here! 🎉 Dassault Systèmes have released the latest version of Dymola. The key highlights of 🌟 Dymola 2025x 🌟 include: ✔️ Additions and enhancements in Dymola ✔️ Exciting new libraries ✔️ Libraries in controlled availability ✔️ Updates to existing libraries ✔️ Claytex Libraries For more details on the new features, visit: https://hubs.la/Q02_r97T0 #Dymola #Dymola2025x #simulation #systemsengineering #DassaultSystèmes #3DEXPERIENCE

We’re excited to announce that Claytex, in collaboration with our partners in the Sim4CAMSense project, will present the latest findings from this Innovate UK initiative at IEEE ITSS Chapter's Inaugural Event in January 2025. Mike Dempsey, Claytex Matt Daley, rFpro Dr Alan Walker, Syselek Dr Imran Mohamed, National Physical Laboratory (NPL) Dr Gerardo E Villarreal-Garcia, Compound Semiconductor Applications (CSA) Catapult Dr Kashif Siddiq, Oxford RF Gunwant Dhadyalla, AESIN Professor Valentina Donzella, WMG, University of Warwick Learn more about the Sim4CAMSens project 👉 https://sim4camsens.org/ Visit the registration page to view the latest agenda and see the list of confirmed speakers 👉 https://lnkd.in/evXucuTi #automotive #sensing #ADAS #autonomy #Sim4CAMSens #autonomousvehicles #sensors

What Does an Autonomous Racecar See While Driving? This is what happened during the longest and fastest head-to-head race in the history of autonomous racing. As shown in this video, the vehicle's perception system operates using a set of sensors that provide 360° coverage, each gathering different types of information: - 6 cameras monitor the surroundings of the vehicle. - 3 LiDAR sensors detect obstacles, including other vehicles. - Radar sensors track the position and velocity of opposing vehicles. These sensors operate independently, and their outputs are processed by a neural network that, in real time, identifies the presence of other vehicles. The data is then combined using a late-fusion approach. This design ensures the system remains reliable even if a sensor malfunctions. For instance, during this race, the front-left camera failed at the beginning, yet the car successfully completed the race and overtook the opponent at more than 270kmh. Perception is critical for the vehicle to understand its position relative to opponents and to decide how to act in different scenarios. The car can forecast the movements and trajectories of opposing vehicles up to 8 seconds ahead, allowing it to avoid collisions and plan overtaking maneuvers effectively. In the video, the green line represents the ideal trajectory for completing the lap in the shortest time. However, it is not always possible to follow this path. The red lines indicate movement restrictions, which constrain the vehicle to a narrower space. When an opponent is detected ahead, the vehicle adjusts its course to maintain a safe distance and avoid collisions. Indy Autonomous Challenge Università degli Studi di Modena e Reggio Emilia Hipert HiPeRT-Lab Claytex MegaRide - applied vehicle research #autonomousracing #autonomousdriving

Today, our Engineering Director, Alessandro Picarelli, is at Cranfield University delivering a lecture to motorsports and mechatronics students. He is joined by Kadir Ertugrul Sahin, our Thermo-Fluid System Development Engineer at Claytex. It’s always inspiring to meet future engineers and share insights into our work in motorsport and the many other industries we’re involved in. #motorsport #simulation #Modelica #Dymola #systemsengineering

Many Congratulations to Team McMurtry Automotive Limited 🎉🎉🎉 It’s truly inspiring to see our customers grow, succeed, and push boundaries! #TopGear #Award #F1 #suspension #steering #simulation #systemsengineering #automotive

💡 Claytex Tech Blog 💡 Help Shape Our Next Blog Topics! Claytex takes pride in helping provide a knowledge base for new and experienced Dymola and Modelica users. 📄 Is there a topic you’d like us to explore or something you’d like to learn more about? 📢 Simply share your topic in the 💬 comments, ✉️ email us, or click on the 🔗 link below to send your ideas for future blog posts. Email us 👉 [email protected] Submit your topic here 👉 https://lnkd.in/etg3TAew 🌟 Your input will guide us as we create valuable content tailored to your interests and needs! 🌟 #claytextechblog #dymola #simulation #modelica #systemsengineering #MBSE Modelica Association

New Blog 💡 Setting up the Dymola Runtime concept - Claytex Tech Blog - By: Garron Fish, Chief Engineer This blog explores the Dymola Runtime concept, which applies to scenarios where a Dymola license is used to run an exported model. Find out more in our blog ↯ https://hubs.la/Q02XHLVJ0 #ClaytexTechBlog #Dymola #Runtime #Exported #Model

Did you miss our live webinar last week on removing one of the biggest barriers to autonomous vehicle development? No problem, we have good news – it’s now available to watch on-demand here: https://lnkd.in/eFB9_MD5 In the webinar our very own Matt Daley, Technical Director at rFpro, explains how synthetic data from simulations can be used to tune, train and test autonomous vehicle systems, reducing the industry’s reliance on collecting real-world data. Key takeaways: - Discover how to use simulation to tune a sensor system. - Find out how to train AV perception systems in simulation and the importance of 100% accurate ground truth. - Learn how full AV technology stack testing can be massively and cost-effectively scaled. - Understand how to validate simulation and sensors to create credible synthetic data. - Gain insight into AV elevate, rFpro’s fully integrated simulation solution for autonomous vehicle development.