/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.

Primary LanguageCudaBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

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