Awesome
RxLIVE_handheld
1. Introduction
This repository provides the CAD files of our handheld device, which is used for sampling data for R2LIVE, R3LIVE and r3live dataset. In this repo, all of the modules are capable of FDM (Fused Deposition Modeling) printable.
We release the all of our schematic files with STL files format (under the “release” directory), which can be imported and printed directly. Moreover, we also release the CAD source files (with suffix “*.SLDPRT and *.SLDASM”), which can be opened and edited with Solidworks.
Designer: Jiarong Lin and Xiyuan Liu
<div align="center"> <img src="./pics/introduction_alpha.png" width="100.0%" /> </div>2. Guide to installation
1.1 Assembly instruction
The assembly instructions are shown in the following figure, where we mark each module correspondingly with the name of each STL files.
<div align="center"> <img src="./pics/assembly_instruction.png" width="100.0%" /> </div>1.2 Electronic connection
The guide of electronic connection is shown as follow:
<div align="center"> <img src="./pics/Guide_to_ee_connection.png" width=100% > </div>3. Open and edit the source files
If you have installed Solidworks on your computer, we strongly recommand you to see more details by openning the assembly file ("RxLIVE_handheld.SLDASM").
4. Material lists (only for reference)
| Item | Pics | Purchasing list <br> (available is <br> not guaranteed) |
|---|---|---|
| Livox Avia LiDAR | <img src="./pics/livox_avia.png" width=40% /> | Livox tech; DJI store |
| Phantom 4 Intelligent <br> Flight Battery | <img src="./pics/P4_battery.png" width=40% /> | DJI |
| FLIR camera <br> Blackfly BFS-u3-13y3c | <img src="./pics/blackflys-cmount-usb.png" width=40% /> | FLIR |
| Camera lens | <img src="./pics/camera_lens.png" width=40% /> | TaoBao |
| Battery power <br> management unit | <img src="./pics/ee_board.png" width=40% /> | TaoBao |
| DJI D-GPS RTK <br> (Optional) | <img src="./pics/dji_rtk2.png" width=40% /> | DJI |
5. License
The source code is released under GPLv2 license.
If you use any code of this repo in your academic research, it will be very very appreciated if you can cite any of our following papers:
[1] Lin, Jiarong, and Fu Zhang. "R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package."
[2] Lin, Jiarong, et al. "R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping."
For any technical issues, please contact me via email Jiarong Lin < ziv.lin.ljr@gmail.com >
For commercial use, please contact Dr. Fu Zhang < fuzhang@hku.hk > and me < ziv.lin.ljr@gmail.com >.