ROS IndexNo version for distro humble showing github. Known supported distros are highlighted in the buttons above.
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro jazzy showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro kilted showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro rolling showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro galactic showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro iron showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro melodic showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.
Recent questions tagged cuUKF at Robotics Stack Exchange
No version for distro noetic showing github. Known supported distros are highlighted in the buttons above.
|
|
cuUKF package from cuda-accelerated-visual-inertial-odometry-fusion repocuUKF |
ROS Distro
|
Package Summary
| Tags | No category tags. |
| Version | 0.0.0 |
| License | BSD-3-Clause |
| Build type | AMENT_CMAKE |
| Use | RECOMMENDED |
Repository Summary
| Description | 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. |
| Checkout URI | https://github.com/jagennath-hari/cuda-accelerated-visual-inertial-odometry-fusion.git |
| VCS Type | git |
| VCS Version | main |
| Last Updated | 2024-03-21 |
| Dev Status | UNKNOWN |
| Released | UNRELEASED |
| Tags | robotics cuda cublas unscented-kalman-filter sensor-fusion state-estimation kalman-filter visual-inertial-odometry ros2 visual-odometry cusolver imu-sensor |
| Contributing |
Help Wanted (-)
Good First Issues (-) Pull Requests to Review (-) |
Package Description
TODO: Package description
Additional Links
No additional links.
Maintainers
- Hari
Authors
No additional authors.
README
No README found.
See repository README.
CHANGELOG
No CHANGELOG found.
Package Dependencies
| Deps | Name |
|---|---|
| ament_cmake | |
| ament_lint_auto | |
| ament_lint_common | |
| rclcpp | |
| sensor_msgs | |
| std_msgs | |
| message_filters | |
| geometry_msgs | |
| nav_msgs |
System Dependencies
No direct system dependencies.
Dependant Packages
No known dependants.
Launch files
No launch files found
Messages
No message files found.
Services
No service files found
Plugins
No plugins found.