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.
☆20Updated 9 months ago
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