Back to List

Quick answer

Accelerated Visual Sense using RealSense Lidar is an open source FPGA project from Hackster.io, indexed by ZouIC. Creating spacially aware AI using a RealSense Camera and the Ultra96v2.

Source
Hackster.io
Focus
FPGA
Author
Ben Lovell
Published
2020-12-06

Common questions

What does Accelerated Visual Sense using RealSense Lidar do?

Creating spacially aware AI using a RealSense Camera and the Ultra96v2.

Where does Accelerated Visual Sense using RealSense Lidar come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/377753/accelerated-visual-sense-using-realsense-lidar-f31d48.

What stack does Accelerated Visual Sense using RealSense Lidar use?

tags AMD Xilinx, Intel, tutorial, beginner.

When was Accelerated Visual Sense using RealSense Lidar published?

The source page lists 2020-12-06.

Accelerated Visual Sense using RealSense Lidar
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.

Accelerated Visual Sense using RealSense Lidar

Published 2020-12-06

Creating spacially aware AI using a RealSense Camera and the Ultra96v2.

Technical Specifications

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

Related resources and purchase links

Statistics

respects
7
views
1322

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views1322
Likes7
Discussions0

Author Info

Ben Lovell
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
Created by GeekWaedon @GeekWaedon
Hardware maker and AI practitioner. This entire website was built hands-on with AI tools.
Join my Knowledge PlanetWeChat: search "GeekWaedon"