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Transform Open-Source Self-Driving Cars Data to Analyze and Visualize Locally with Streetscape.gl

Prodramp via YouTube

Overview

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Learn to visualize and analyze open-source self-driving car datasets locally using streetscape.gl in this step-by-step tutorial. Download XVIZ protocol transformed data from KITTI and NuScenes datasets, then use the streetscape.gl open-source project to analyze and visualize the information on your local machine. Follow along as the instructor demonstrates the get-started sample demo, reviews code, and guides you through downloading and using the transformed data. Explore multiple dataset views, understand the sample code, and discover what's next in self-driving car data analysis. Access the GitHub repository for complete instructions and code samples to enhance your skills in autonomous driving technology.

Syllabus

- Tutorial Introduction
- Tutorial #1 recap
- Tutorial Starts
- Streetscape.gl Quick Intro
- Streetscape.gl - get-started sample demo
- Streetscape.gl - get-started Code Review
- XVIZ Protocol transformed data download
- Using DeepWorks get-started sample code
- Launching Sample app
- Multiple dataset views
- Sample Code Review
- Recap
- GitHub repo for code and tutorial
- What is next?
- Credits

Taught by

Prodramp

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