Vehicles are becoming increasingly connected and autonomous. As mobility evolves, the need for safe, functionally correct, and secure systems is essential. Any failure could leave vehicles seriously impaired. To prevent this scenario, autonomous and connected features depend on multiple sensors, fusing their data, to ensure safety. Standards are beginning to emerge for Advanced Driver Assistance Systems (ADAS), Autonomous Driving (AD), and connectivity—but the industry is still being challenged to move faster.
We help customers around the world overcome key challenges associated with the implementation of connectivity and self-driving technologies.
Additionally, we work across multiple sectors to provide support. We offer solutions to close the gap between simulation, hardware-in-the-loop, and proving ground development. With our extensive knowledge of scenario-based development for vehicles, systems and sensors, to ensure efficient development with reliable and repeatable results.
We help customers to define, design, build, test and validate their connected and autonomous vehicles during the complete development life cycle. Thereby achieving high levels of performance through the use of simulated validation, sensor stimulation, physical testing and the application of the recognized systems engineering framework.
Case Study for Autonomous Driving/ADAS Sensor Evaluation (by The National Traffic Safety and Environment Laboratory)
Introducing a real-world environment simulation system for autonomous driving/ADAS sensor evaluation. The system can reproduce actual rainfall and fog environments and quantitatively and efficiently evaluate the effects on sensors.
Click here to read more: Real Environment (Rainfall) Simulation System
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