Nvidia
Nvidia
@nvidia·2.2M subscribers·2.7K videos

How AI Helps Autonomous Vehicles Perceive Intersection Structure - NVIDIA DRIVE Labs Ep. 20

Posted

May 27, 2020

Views

26,293

Likes

484

Comments

44

Engagement

2.01%

Search the Record

Indexed

Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.

Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.

Try a name, a topic, or a quoted line

YouTube Description

as posted by the channel

Handling intersections autonomously presents a complex set of challenges for self-driving cars. Earlier in the DRIVE Labs series, we demonstrated how we detect intersections, traffic lights and traffic signs with the WaitNet DNN. And how we classify traffic light state and traffic sign type with the LightNet and SignNet DNNs. In this episode, we go further to show how NVIDIA uses AI to perceive the variety of intersection structures that an autonomous vehicle could encounter on a daily drive.

Watch the full series here

Learn more about DRIVE Labs

Follow us on social

Guests & Subjects Covered

NVIDIA DRIVE Labs Ep. 20DRIVE LabsWaitNet DNN AndSignNet DNNs InDRIVE Labs FollowTwitter LinkedIn

Sentinel Indexing in Progress

Metadata and chapters are available. Claim extraction for this episode is pending.

All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.