Write For Us

From Sedans to SUVs: Ensuring Precision with Dynamic View Synthesis - NVIDIA DRIVE Labs Ep. 32

E-Commerce Solutions SEO Solutions Marketing Solutions
143 Views

  • Thanks! Share it with your friends!

    You disliked this video. Thanks for the feedback!

ava
Published
Car manufacturers are incorporating automated and autonomous features into their fleets of vehicles. Challenges emerge when extending this technology to different models. For instance, deploying a perception model like bird’s eye view segmentation, initially designed with data from a sedan fleet, may lead to reduced accuracy on an SUV due to variations in camera perspectives. In this edition of #NVIDIA #DRIVELabs, we delve into viewpoint robustness and explore how recent advancements in Dynamic View Synthesis provide a remedy for such issues.

00:00:30 - Viewpoint robustness and how recent advances offer a solution
00:01:18 - Dynamic View Synthesis eliminates viewpoint challenges
00:01:34 - Multi-view consistency between different viewpoints
00:02:06 - Neural Radiance Fields don’t work well for viewpoint robustness
00:02:16 - DNN trained to estimate scene depth from single image
00:03:09 - Deploy perception models at scale
00:03:19 - To learn more, visit our project page and GitHub

GitHub: https://nvda.ws/3uYJYih
Project page: https://nvda.ws/3NsoXmm
Tech blog: https://nvda.ws/41hROj3
Watch the full series here: https://nvda.ws/3LsSgnH
Learn more about DRIVE Labs: https://nvda.ws/36r5c6t

Follow us on social:
Twitter: https://nvda.ws/3LRdkSs
LinkedIn: https://nvda.ws/3wI4kue
#NVIDIADRIVE
Category
Hardware
Tags
NVIDIA, drive labs, autonomous vehicles
Sign in or sign up to post comments.
Be the first to comment

Up Next