# @nvidia on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=KEn8oklzyvo
- **Gondola URL:** https://gondola.cc/posts/8346419-nvidia-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/thumbnails/e191618198.jpg
- **Posted:** 2023-08-24T18:01:42.000+00:00
- **Account Owner:** NVIDIA (@nvidia) — https://gondola.cc/nvidia

## Caption

Humans naturally perceive the 3D geometry of objects and scenes in order to make decisions. Likewise, in the world of #autonomousdriving, the concept of “3D occupancy prediction” is critical to the development of safe and robust self-driving systems. In this episode of #DRIVELabs, we go beyond the traditional bird’s eye view approach and showcase NVIDIA’s 3D perception technology, which recently won the 3D Occupancy Prediction Challenge at CVPR 2023.

Timestamps:
00:00:00 - 3D occupancy prediction is a critical piece of the perception stack
00:01:00 - VoxFormer: camera based solution for 3D occupancy prediction
00:01:27 - FB-OCC uses multiple cameras as input
00:02:20 - CVPR 2023 Leaderboard (winner out of 400 entries)
00:03:09 - How do transformer models exploit different hardware engines?
00:03:33 - To learn more, visit our project pages and blog

Read the blog: https://nvda.ws/3qJSKPg
Watch the full series here: https://nvda.ws/3lHQP7H
Learn more about DRIVE Labs: https://nvda.ws/36r5c6t
Follow us on social:
Twitter: https://nvda.ws/3LRdkSs
LinkedIn: https://nvda.ws/3wI4kue

## Stats

- **Views:** 10,748
- **Likes:** 241
- **Shares:** 0
- **Comments:** 0

## Tags

drivelabs, autonomousdriving

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