French innovative SME with over 25 years of expertise in real-time software development.
Intempora aims to provide advanced and innovative software solutions to ease and accelerate the development process of engineering teams all around the world who are working daily on complex real-time systems and breakthrough innovations.
In a constant technological evolution we think that people can make difference.
C0-FOUNDER
Co-Founder of Intempora, he was director of the center of Robotics of Mines Paris until 2008. Claude continues to give conferences in robotics and autonomous driving in universities and research centers all around the world in Europe and China. Considered as a famous “roboticist”. He has been awarded in 2004 by the most pretigious robotics honor: The Joseph F. Engelberger award.
Intempora was founded in 2000 on works performed at Center of Robotics of Mines Paris (one of the most prestigious and famous engineering school in France), by Claude Laurgeau, former director of the Centern, Pierre Coulombeau and Bruno Steux, two brillant PhD students in robotics which created the premices and the very first version of the RTMaps software.
The startup worked on many research projects in France and Europe with INRIA – National Institute for Research in Digital Science and Technology and participated to some of the most famous worldwide projects in autonomous driving as DARPA Grand Challenge in 2005 with Blue Froggy then 2007 (DotMobil Team) and ITS 2008 (Urban City Challenge with SWRI – Southwest Research of Institute) in New York.
Due to its narrow relationship with world-renowned research institutes such as INRIA, Intempora quickly gained a few customers in the automotive industry, particularly French OEMs such as Renault and Tier 1 suppliers such as Valeo.
In 1999, co-founders of Intempora, Claude Laurgeau former director of CAOR (Center of Robotics of Mines Paris) Bruno Steux and Pierre Coloumbeaun PhD students in robotics were interviewed by french National TV (France 2) in Mines Paris Tech to explain which software features will appear in “intelligent cars” around 2030-2040..
Let’s discover what they said..
In 2015, dSPACE and Intempora announced an exclusive cooperation that aims at providing a superior tool chain for developing ADAS and highly automated driving functions. In line with this agreement, dSPACE globally and exclusively distribute RTMaps (Real-Time Multisensor applications) from Intempora, an innovative and unparallelled software environment for multisensor applications. RTMaps is tightly integrated into the dSPACE tool chain for rapid prototyping, software-in-the-loop and hardware-in-the-loop testing. This collaboration reinforce the dSPACE portofolio of tools for development, test and validation.
20 years after the beginning of the company and after a 5-year long standing partnership, dSPACE has announced the acquisition of Intempora. The Intempora software rounds off the functional scope of the dSPACE range of products for data-driven development, bridging the gap between data recording, data management, and software validation. This acquisition enables dSPACE to offer customers a unique, comprehensive, and reliable end-to-end solution toolchain as well as optimized support for their innovative development projects.
In 2019, dSPACE acquired understand.ai, further extending the dSPACE product portfolio for autonomous driving to include AI-based options, such as automated data analysis, data annotation, and simulation scenarios extraction.
understand.ai from Karlsruhe, DE has four years of worldwide AD/ ADAS project experience and 50+ associates with AI, automotive & cloud background we make machine learning accessible for real-world applications.develops algorithms that drive efficiencies in training and testing of functions for autonomous driving. By creating a powerful automation engine for perception data annotation, understand.ai enables the its users to cut costs and accelerate the training and testing of assisted & autonomous driving technology.
Enriched sensor data can be extracted and turned into simulable scenarios.
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