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state-estimation

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

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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.

robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor
  • Updated Mar 21, 2024
  • Cuda

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