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Quick answer

Stereo Vision and LiDAR Powered Donkey Car is an open source FPGA project from Hackster.io, indexed by ZouIC. Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.

Source
Hackster.io
Focus
FPGA
Author
Attila Tőkés
Published
2019-01-06

Common questions

What does Stereo Vision and LiDAR Powered Donkey Car do?

Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.

Where does Stereo Vision and LiDAR Powered Donkey Car come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/bluetiger9/stereo-vision-and-lidar-powered-donkey-car-575769.

What stack does Stereo Vision and LiDAR Powered Donkey Car use?

tags AMD Xilinx, tutorial, advanced.

When was Stereo Vision and LiDAR Powered Donkey Car published?

The source page lists 2019-01-06.

Stereo Vision and LiDAR Powered Donkey Car
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.

Stereo Vision and LiDAR Powered Donkey Car

Published 2019-01-06

Donkey Car featuring the Ultra96 board, a Raspberry Pi, FPGA accelerated stereo vision, MIPI CSI-2 image acquisition, a LiDAR sensor and AI.

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
166
views
28019

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views28019
Likes166
Discussions0

Author Info

Attila Tőkés
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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