This repo is divided into two parts, one is the basic algorithm, in the library folder. The other is the actual multi-sensor fusion algorithm (e.g. SLAM), in the app folder.
Detailed derivations can be found in: https://www.zhihu.com/column/slamTech
opencv, ceres, Eigen
chmod +x build.sh
./build.sh
An odometry algorithm by fusing visual and wheel information in an Extended Kalman Filter.
For details, please refer to: https://zhuanlan.zhihu.com/p/270670373
We used the KAIST dataset to test our method. https://irap.kaist.ac.kr/dataset/
For examples, please refer to the Example folder.
./RunKAISTData ${REPO_PATH}/TinyGrapeKit/app/VWO_MSCKF/params/KAIST.yaml ${KAIST_PATH}
For any issues, please feel free to contact Dongsheng Yang: ydsf16@buaa.edu.cn, ydsf16@163.com