DENZA, the luxury EV brand joint venture between BYD and Mercedes-Benz, has collaborated with marketing and communications giant WPP and NVIDIA Omniverse Cloud to build and deploy its next generation of car configurators, NVIDIA founder and CEO Jensen Huang announced at SIGGRAPH. WPP is using Omniverse Cloud — a platform for developing, deploying and managing Read article >
Understanding speed limit signs may seem like a straightforward task, but it can quickly become more complex in situations in which different restrictions apply to different lanes (for example, a highway exit) or when driving in a new country.
The post Performing Live: How AI-Based Perception Helps AVs Better Detect Speed Limits appeared first on The Official NVIDIA Blog.
Autonomous vehicles don’t just need to detect the moving traffic that surrounds them — they must also be able to tell what isn’t in motion.
The post Perceiving with Confidence: How AI Improves Radar Perception for Autonomous Vehicles appeared first on The Official NVIDIA Blog.
NVIDIA DRIVE IX is an open, scalable cockpit software platform that provides AI functions to enable a full range of in-cabin experiences, including intelligent visualization with augmented reality and virtual reality, conversational AI and interior sensing.
The post A Trusted Companion: AI Software Keeps Drivers Safe and Focused on the Road Ahead appeared first on The Official NVIDIA Blog.
Driving requires the ability to predict the future. Every time a car suddenly cuts into a lane or multiple cars arrive at the same intersection, drivers must make predictions as to how others will act to safely proceed. While humans rely on driver cues and personal experience to read these situations, self-driving cars can use Read article >
The post All the Right Moves: How PredictionNet Helps Self-Driving Cars Anticipate Future Traffic Trajectories appeared first on The Official NVIDIA Blog.
The NVIDIA DRIVE Labs video series provides an inside look at how self-driving software is developed. One year and 20 episodes later, it’s clear there’s nearly endless ground to cover. The series dives into topics ranging from 360-degree perception to panoptic segmentation, and even predicting the future. Autonomous vehicles are one of the great computing Read article >
The post Checking the Rearview Mirror: NVIDIA DRIVE Labs Looks Back at Year of Self-Driving Software Development appeared first on The Official NVIDIA Blog.
Handling intersections autonomously presents a complex set of challenges for self-driving cars. This includes the ability to stop accurately at an intersection wait line or crosswalk, correctly process and interpret right of way traffic rules in various scenarios, and determine and execute the correct path for a variety of maneuvers, such as proceeding straight through the intersection and unprotected intersection turns.
The post At a Crossroads: How AI Helps Autonomous Vehicles Understand Intersections appeared first on The Official NVIDIA Blog.
Lidar can give autonomous vehicles laser focus.
By bouncing laser signals off the surrounding environment, these sensors can enable a self-driving car to construct a detailed and accurate 3D picture of what’s around it.
The post Laser Focused: How Multi-View LidarNet Presents Rich Perspective for Self-Driving Cars appeared first on The Official NVIDIA Blog.