jagennath-hari / CUDA-Accelerated-Visual-Inertial-Odometry-Fusion

Harness the power of GPU acceleration for fusing visual odometry and IMU data with an advanced Unscented Kalman Filter (UKF) implementation. Developed in C++ and utilizing CUDA, cuBLAS, and cuSOLVER, this system offers unparalleled real-time performance in state and covariance estimation for robotics and autonomous system applications.

jagennath-hari
jagennath-hari
Date Created 2024-02-28 (about a year ago)
Commits 18 (last one about a year ago)
Stargazers 25 (0 this week)
Watchers 2 (0 this week)
Forks 2
License bsd-3-clause
Ranking

RepositoryStats indexes 631,885 repositories, of these jagennath-hari/CUDA-Accelerated-Visual-Inertial-Odometry-Fusion is ranked #623,707 (1st percentile) for total stargazers, and #481,103 for total watchers. Github reports the primary language for this repository as Cuda, for repositories using this language it is ranked #387/394.

jagennath-hari/CUDA-Accelerated-Visual-Inertial-Odometry-Fusion is also tagged with popular topics, for these it's ranked: robotics (#1,382/1393),  cuda (#681/687),  ros2 (#416/419)

Other Information

There have been 1 release, the latest one was published on 2024-02-28 (about a year ago) with the name ros2_humble.

Homepage URL: https://github.com/jagennath-hari/CUDA-Accelerated-Visual-Inertial-Odometry-Fusion

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Recent Commit History

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Languages

The primary language is Cuda but there's also others...

CudaCudaC++C++CMakeCMakePythonPython

updated: 2025-03-18 @ 07:22pm, id: 764851574 / R_kgDOLZa1dg