Sensing platform developer LeddarTech and AD testing specialist Cognata are to integrate Cognata’s simulation authoring software with LeddarTech’s sensor fusion and perception technology, LeddarVision, to accelerate the testing and validation of self-driving agricultural vehicles.
The companies state that the combined solution will deliver a new level of realism in training and validating ADAS and AV performance, along with highly accurate sensor simulation, bringing novel AI-powered traffic agents, based on real-world behavior, and highly realistic virtual worlds together on a cloud-based platform. The companies note that large-scale simulation is a time-to-market accelerator for AV and ADAS developers, as they continue to harness its capabilities in more phases of development to provide better product quality and safety and reduce testing time and costs.
The Cognata platform leverages artificial intelligence, deep learning and computer vision to create a realistic automotive simulation environment where virtual cars travel virtual roads in virtual cities – all remarkably accurate to real-world conditions, including weather conditions and an AI-based traffic model.
“LeddarTech and Cognata share the vision of using large-scale, cloud-based simulation to thoroughly and safely train and test self-driving cars under endless challenging situations,” noted Ronny Cohen, senior director, Israel operations and engineering, LeddarTech. “This is a joining of the market’s leading solutions to a unique best-of-breed offering that will accelerate the safe deployment of ADAS and AV technology.”
