Developers of autonomous systems in the aerospace and defense industry are challenged by high R&D costs and complexity in creating cutting-edge technologies. They aim to deliver systems that operate safely and reliably in uncertain operational environments.
We empower customers to predict and improve the performance of autonomous, software-defined vehicles in a virtual environment. This model-based approach enables continuous verification and validation in all development phases, accelerating the next generation of intelligent and connected systems.
Explore the current landscape and upcoming potential of autonomous technology in the Aerospace & Defense (A&D) industry. Here, you’ll discover everything from the driving concepts, and core challenges faced by innovators to insights into the development process and future market for autonomous systems.
Delve into the current state of perception and sensing technology in Aerospace & Defense. Learn about the key technologies shaping autonomous designs, the core challenges engineers face when optimizing these systems, and what the future holds for situational awareness and data interpretation in autonomous vehicles.
In a virtual 3D environment, design, explore, integrate, and optimize various camera system modules (lens, sensor, image processing algorithm).
Design and validate the performance of real-time radar (RTR) sensors to help accurately sense and provide trustable information to the vehicle’s perception algorithms.
Explore various design iterations virtually to zero in and optimize the Lidar sensor, which collects precise information about objects’ shape, size, and location.
Simulate thermal camera models with high fidelity to enhance the safety of autonomous vehicles in low-light conditions. Accurate thermal camera models can help generate detailed images even in dark or inclement weather conditions.
