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Quick answer

Self-driving Car Based on Learning from Vision Demonstration is an open source FPGA project from Hackster.io, indexed by ZouIC. A model car driven by KV260 and a USB camera mounted on the front.

Source
Hackster.io
Focus
FPGA
Author
Yankui Wang
Published
2022-03-30

Common questions

What does Self-driving Car Based on Learning from Vision Demonstration do?

A model car driven by KV260 and a USB camera mounted on the front.

Where does Self-driving Car Based on Learning from Vision Demonstration come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/gch981213/self-driving-car-based-on-learning-from-vision-demonstration-1ef30d.

What stack does Self-driving Car Based on Learning from Vision Demonstration use?

tags AMD Xilinx, tutorial, advanced.

When was Self-driving Car Based on Learning from Vision Demonstration published?

The source page lists 2022-03-30.

Self-driving Car Based on Learning from Vision Demonstration
Hackster.io All from this source License per the original page fpga

Indexed by ZouIC from the source platform public page, for developer reference only. Copyright and licensing stay with the author; get code and files from the original platform.

Self-driving Car Based on Learning from Vision Demonstration

Published 2022-03-30

A model car driven by KV260 and a USB camera mounted on the front.

Technical Specifications

Source platform
Hackster.io
Listing note
Metadata fetched from the public platform page; copyright belongs to the original author.
Difficulty
advanced
content type
tutorial

Related resources and purchase links

Statistics

respects
4
views
1804

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views1804
Likes4
Discussions0

Author Info

Yankui Wang
View Profile

Citation Note

This content is sourced from Hackster.io Platform,All rights reserved by the original author. This platform only provides indexing and summaries. For detailed content, please visit the original link.

License per the original page
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