https://github.com/charlotte-visionlab/uncc_rgbd_odom
This package performs odometry estimation for an RGBD sensor.
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (6.0%) to scientific vocabulary
Repository
This package performs odometry estimation for an RGBD sensor.
Basic Info
- Host: GitHub
- Owner: charlotte-visionlab
- License: gpl-3.0
- Language: C++
- Default Branch: master
- Size: 158 KB
Statistics
- Stars: 3
- Watchers: 6
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
unccrgbdodom
This package performs odometry estimation for an RGBD sensor.
Non-ROS Build
You can build the base odometry library (libunccrgbdodom_core.so) by using cmake from inside the "core" folder.
The base classes for odometry depend upon the following libraries:
OpenCV PCL Eigen
An example build session is below:
$> cd core $> mkdir build $> cd build $> cmake .. $> make
The product is the library file: libunccrgbdodom_core.a
You can then link against this file to use core UNCC odometry code. The odometry algorithm API can be found in include/rgbdodometry/rgbdodometry.h.
ROS Build
You can also include the parent unccrgbdodom folder as a standard ROS package. In this case, the package.xml and CMakeLists.txt in the source root folder control the build process for the ROS package. The dependencies are listed in the CMakeLists.txt file.
Owner
- Name: UNC Charlotte VisionLab
- Login: charlotte-visionlab
- Kind: organization
- Website: http://visionlab.charlotte.edu
- Repositories: 7
- Profile: https://github.com/charlotte-visionlab