Dassault Systèmes, Cognata Join Hands for Safer Autonomous Vehicles

Dassault Systèmes, Cognata Join Hands for Safer Autonomous Vehicles

Dassault Systèmes and Cognata Ltd have partnered to make the autonomous vehicles more safer. As per the agreement, Cognata’s Autonomous Vehicle Simulation Suite will be embedded into Dassault Systèmes’ 3DEXPERIENCE platform to test and experience autonomous driving throughout the development cycle within the 3DEXPERIENCE platform. The partnership will make a fully integrated autonomous vehicle development process resulting in faster, more accurate and safer autonomous vehicles on the road, stated the company.

Dassault Systèmes’ 3DEXPERIENCE platform provides solutions for safe, smart and connected solutions meant for future mobility. Cognata’s full product simulation solution leverages deep learning to enable autonomous vehicle manufacturers to run thousands of different scenarios based on various geographic locations, traffic patterns, and weather conditions. The two companies join hands to deliver as a one-stop-shop, outstanding environment to engineers for accelerated autonomous vehicle design, engineering, simulation and program management, the company noted.

Philippe Laufer, CATIA CEO, said integrating Cognata’s accurate and comprehensive offering into the 3DEXPERIENCE platform creates a unique solution to help our customers greatly reduce the time to market of safe autonomous vehicles. Simulation is key at all stages of cyber systems engineering and billions of miles must be virtually run before a car can be considered safe. AI-powered experiences that combines vehicle behavior, sensors and traffic models allow alternative designs to be tested in the concept phase to identify the optimal engineering solution.

Danny Atsmon, CEO and Founder of Cognata, the earlier simulation is utilised, the easier it is for engineers to modify each component of the autonomous vehicle and test it through a virtual environment, to see how it works once incorporated in the vehicle and confronted with unexpected edge cases.