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Sitting on the backseat of your car while it swerves right. There is no one in the driving seat yet this technology-powered marvel drives you safely to your destination. This sort of visual can be a reality soon on our roads.
Autonomous vehicles are transforming the way we live, work, and play—creating safer and more efficient roads. These revolutionary benefits require massive computational horsepower and large-scale production software expertise. This week our spotlight has set its sights on NVIDIA’s self-driving car technology
What is NVIDIA’s ‘Software-Defined Autonomy’?
NVIDIA has built a software-defined, end-to-end platform for the transportation industry that enables continuous improvement and continuous deployment through over-the-air updates. It delivers everything needed to develop autonomous vehicles at scale.
The fundamentals of autonomous vehicle development
DRIVE OS: NVIDIA DRIVE™ OS is the reference operating system and associated software stack explicitly designed for developing and deploying autonomous vehicle applications. It delivers a safe and secure execution environment for safety-critical applications.
DriveWorks: It enables developers to implement autonomous vehicle (AV) solutions by providing a comprehensive library of modules, developer tools, and reference applications. It is designed to achieve the full throughput limits of the computer, enabling real-time self-driving applications.
The continuing evolution of automotive technology aims to deliver even greater safety benefits and automated driving systems (ADS) that — one day — can handle the whole task of driving when we don’t want to or can’t do it ourselves
The NVIDIA DRIVE AV
It powers the functions necessary for fully autonomous driving, including the ability to perceive, map, and plan.
DRIVE Perception consists of all the deep neural networks (DNN) necessary to detect driving paths, wait for conditions, and other objects in the vehicle’s environment. These redundant and diverse DNNs leverage data from cameras, radar, and LIDAR sensors on the vehicle to perform 360-degree perception
DRIVE Mapping allows vehicles to navigate anywhere in the world. It uses maps from partners such as Baidu, HERE, TomTom, NavInfo, and Zenrin to localize vehicles to high-definition maps with unprecedented breadth and accuracy
DRIVE Planning uses the data from the perception and mapping modules to determine which route and lane to drive, taking into account both safety and passenger comfort metrics. The mathematically verifiable Safety Force Field (SFF) driving policy in the planning layer monitors all other actors on the road and ensures the vehicle won’t cause or contribute to a collision
Conclusion
Advanced sensor technology, smart control systems, and intelligent actuators: For everything from automated to autonomous driving, complex technology is in demand. However, it is not just a question of automated vehicles being able to set themselves in motion. In the future, safety will continue to be the top priority, and passenger comfort will become even more important. NVIDIA showcases that technology is capable of achieving this feat and sooner than later, we will be able to witness autonomous driving in full glory!
What is the Product spotlight?
Product spotlight is our effort to bring unique and innovative AI products that can help businesses and their customers deliver quality and exceptional service. It is a bi-weekly blog that focuses on a single product and how that can help create value.
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