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Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro jazzy showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro kilted showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro rolling showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro galactic showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro iron showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro melodic showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code
Wiki

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange

No version for distro noetic showing github. Known supported distros are highlighted in the buttons above.
Package symbol

ssa_estimation_cpp package from 3dvehicledynamicsstateestimation repo

msgs param_manager_cpp robot_state_publisher ros2_watchdog_cpp ros_debug_helpers_cpp ros_param_helpers_cpp tum_helpers_cpp tum_type_conversions_ros_cpp tum_types_cpp classical_filter imu_handler ssa_estimation_base state_estimation_base ssa_estimation_constants state_estimation_constants ssa_estimation_cpp state_estimation_cpp ssa_estimation_node_cpp state_estimation_node_cpp state_publisher

ROS Distro
github

API Docs
Browse Code
Wiki

Package Summary

Tags No category tags.
Version 0.0.1
License LGPLv3
Build type AMENT_CMAKE
Use RECOMMENDED

Repository Summary

Description 3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
Checkout URI https://github.com/tumftm/3dvehicledynamicsstateestimation.git
VCS Type git
VCS Version main
Last Updated 2024-08-28
Dev Status UNKNOWN
Released UNRELEASED
Tags racing autonomous-driving unscented-kalman-filter state-estimation kalman-filter extended-kalman-filter vehicle-dynamics side-slip angle-estimation
Contributing Help Wanted (-)
Good First Issues (-)
Pull Requests to Review (-)

Package Description

ssa estimation cpp class

Additional Links

No additional links.

Maintainers

  • Sven Goblirsch

Authors

No additional authors.
lib_cpp/ssa_estimation_cpp/README.md

Side Slip Angle Estimation C++

This directory contains a modular implementation of a side slip angle estimation which can be used with different input and filter configurations.

The class incorporates multiple subclasses:

  • State Machine: Monitors the states of the input modalities and handles which modalities should be fused. This class also returns the overall side slip angle estimation status.
  • UKF: Unscented Kalman filter implementation, can be exchanged for flexible usage within the state estimation class.

Side Slip Angle Estimation

The side slip angle estimation predicts the following state vector utilizing inputs from a steering angle sensor, wheelspeed encoders, brake pressure, drive troque, orientation measurement and N IMUs (N is defined here):

\[x = \left[\begin{array}{c} {V_COG} \\ {\beta_COG} \end{array}\right]\]

State Machine

The following state transitions are defined, necessitating a software reset to exit the ERROR and STALE states:

  • OK WARN ERROR
  • any valid_imu_x x x  
  • valid_steering x x  
  • valid_wheelspeed x x  
  • valid_drivetrain_torque x    
  • valid_brake_pressure x    
  • valid_orientation      
CHANGELOG
No CHANGELOG found.

Launch files

No launch files found

Messages

No message files found.

Services

No service files found

Plugins

No plugins found.

Recent questions tagged ssa_estimation_cpp at Robotics Stack Exchange