Updated 6 months ago
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.
Updated 6 months ago
https://github.com/momsfriendlyrobotcompany/wernstrom
Python tools for working with KITTI data.
Updated 6 months ago
rgbd-3dgs-slam
RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks, it estimates depth and camera intrinsics from RGB images alone, with optional support for additional camera information and depth maps.