We'll cover how to use NVIDIA DRIVE PX to power a self-driving vehicle. This will include insights into how DRIVE PX is used to acquire data, which in turn is used to train different types of Neural Networks. And, finally how DRIVE PX is used as the brain of the autonomous vehicle to run AV applications utilizing these neural networks in real-time. We will also focus on the types of sensors required to perceive the driving environment and various tools necessary to build an AV application.
We'll introduce NVIDIA DriveWorks, a software development kit for autonomous driving and processing sensor data through perception, mapping, localization, and path planning steps. DriveWorks provides a rich set of functionalities: sensor abstraction layer, algorithm modules, DNNs, applications, UI and tools for sensor setup and management. The SDK is modular, optimized for GPUs, and runs on top of OS, CUDA/cuDNN, TensorRT, and VPI. This is the foundation for developers working on autonomous vehicle applications, and the session will highlight how to leverage it.