Artificial intelligence (AI) is taking the automotive industry by storm. Market research projects that by 2025 the automotive AI market will be valued at $11 billion and the installation rate of AI-based systems in new vehicles will rise by 109%. One of the most prominent ways that AI is revolutionizing the industry is through autonomous vehicles. Self-driving cars use camera-based machine vision systems and radar- and lidar-based detection units to perceive, understand, and safely navigate a nearly infinite range of driving scenarios.
In this Deep Learning Institute (DLI) workshop, developers will learn how to optimize performance for self-driving car perception applications such as lane navigation and pedestrian detection. They’ll be able to build and train a semantic segmentation neural network to identify objects in videos such as roads, pedestrians, and other vehicles. Then they’ll deploy the neural network on the NVIDIA DRIVE™ platform to power autonomous navigation of a vehicle. At the end of the workshop, developers will have the skills needed to build AI applications for a variety of autonomous driving scenarios, including traffic navigation, obstacle avoidance, and robotic ridesharing.
All workshop attendees get access to fully configured, GPU-accelerated servers in the cloud, guidance from a DLIcertified instructor, and the opportunity to network with other attendees. Attendees can earn a certificate to prove subject matter competency and support professional growth.