The Israel Ministry of Defense has selected Cognata’s simulation authoring software to support the testing and training of military Autonomous Vehicles (AVs) in challenging terrains.
As per the contract, Cognata will integrate its software into Israeli Defense Force (IDF) technology to further accelerate algorithm safety and readiness.
Cognata offers a highly realistic simulation and testing platform for AVs and Advanced Driver Assistance Systems (ADAS) that combines the market’s leading AV perception training and unique challenges presented by an unfamiliar terrain environment.
The company’s AV off-road simulation is designed to test, train and validate perception and control challenges for difficult terrains where there is no clear path.
The testing solution can help in reducing the lengthy verification and validation process, and compress the AI/ML training time to months.
Cognata’s simulation platform can create multiple use cases with limited visibility by other objects, bypassing a lengthy Artificial Intelligence (AI) learning process by creating simulated environments for quick learning, allowing AI to evaluate sensor-generated large-scale situations, complex multi-source data sets, and generate automatic analysis, compressing the AI / Machine Learning (ML) training time to months.
“Cognata is proud to be chosen and work with The Ministry of Defense, supporting and accelerating the IDF development needs,” said Cognata CEO, Danny Atsmon. “Highly accurate and scalable simulation technology is essential to validate autonomous vehicles in general, and algorithm safety and readiness specifically, within the nearly infinite combinations of real-world scenarios. Cognata’s technology rapidly creates novel visualization and synthetic environment approaches to enable improved AI/ML training that increases reliability, reduces human error in critical mission tasks, and positively impacts trust in human-machine teaming.”
“We carefully inspected several simulation providers, and were impressed with Cognata’s high-quality standards,” said Vladimir Vakulin, Major, Robotics Systems Knowledge Leader, IDF. “We are looking forward to a productive algorithm development process, towards IDF excellency.”
