AImotive's aiSim is the 2018 Vision Product of the Year Award Winner in the Developer Tools category. In self-driving car development, testing hazardous or dangerous traffic situations is almost impossible and extremely costly without simulation technology. For AI-based technologies, this virtual environment provides a platform for training and testing, accelerating their development. aiSim offers a complete, integrated simulation environment, fine-tuned for a vision-first approach to autonomous driving through photorealistic rendering, sensor modeling with importable calibration parameters, dataflow simulation and software-in-the-loop/hardware-in-the-loop testing. This allows for the reliable assessment of image processing algorithms. These capabilities are extended with the integration of various virtual sensors, standardized map data, importable scenarios and procedural evaluation.
AImotive (formerly AdasWorks) develops artificial intelligence-based software for self-driving cars to make automated driving safe and affordable. Our dedicated team of experts has hands-on experience in artificial intelligence, computer vision and navigation technologies, providing solutions optimized for embedded platforms and GPUs. We work closely with automotive and technology companies to revolutionize the architecture of cars and bring intelligent and reliable self-driving technologies to future vehicles. AImotive's Intelligent Surround View System is capable of processing images in real-time, coming from multiple cameras and other sensors around the car, and using only a single processor chip. This AI-based low-level fusion of information enables the software to reliably detect, understand and predict vehicles' environments. AImotive's SDK supports a wide range of processing hardware, including SoCs, FPGAs and DSPs, giving our customers the freedom of choice to select the most suitable platform. To learn more about AImotive, please visit www.aimotive.com.
Applications for the 2019 Vision Product of the Year Awards are now being accepted, until March 8, 2019. If you're an employee of an Embedded Vision Alliance member company, please see here for an online application form. If you're interested in becoming a member of the Embedded Vision Alliance, please see here for more information!