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Quick answer

Hardware Accelerated Real-time Perception in 3D (HARP-3D) is an open source FPGA project from Hackster.io, indexed by ZouIC. End-to-end demonstration of 3D object detection in LiDAR point clouds using a deep neural network running on the ULTRA96V2.

Source
Hackster.io
Focus
FPGA
Author
sambit mohapatra
Published
2020-11-08

Common questions

What does Hardware Accelerated Real-time Perception in 3D (HARP-3D) do?

End-to-end demonstration of 3D object detection in LiDAR point clouds using a deep neural network running on the ULTRA96V2.

Where does Hardware Accelerated Real-time Perception in 3D (HARP-3D) come from?

ZouIC indexes it from Hackster.io, original page at https://www.hackster.io/sm_1991/hardware-accelerated-real-time-perception-in-3d-harp-3d-fde0c0.

What stack does Hardware Accelerated Real-time Perception in 3D (HARP-3D) use?

tags AMD Xilinx, tutorial, intermediate.

When was Hardware Accelerated Real-time Perception in 3D (HARP-3D) published?

The source page lists 2020-11-08.

Hardware Accelerated Real-time Perception in 3D (HARP-3D)
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.

Hardware Accelerated Real-time Perception in 3D (HARP-3D)

Published 2020-11-08

End-to-end demonstration of 3D object detection in LiDAR point clouds using a deep neural network running on the ULTRA96V2.

Technical Specifications

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

Related resources and purchase links

Statistics

respects
26
views
4447

Project Info

Source PlatformHackster.io
Categoryfpga
LicenseLicense per the original page
Views4447
Likes26
Discussions0

Author Info

sambit mohapatra
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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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