Arduino Kalman Filter
I have an Arduino Mega acting as a low level controller, forwarding motor encoder, IMU and other sensor data to the host computer.
However, since it's already processing encoder and IMU data, and because my host is a little underpowered processing other sensor data, I'd like the Arduino to use a Kalman filter to produce improved odometry data directly. Is there anything in ROS for this that would run on an Arduino?
I'm aware of a few projects, like robot_pose_efk, but they only seem to run on traditional ARM or x86 architectures.
Not Kalman, but Direction Cosine Matrix: Razor AHRS
Be aware that AVRs can not to floating point in hardware, they have to emulate this feature in software, which is slow.
About ROS-package: Most ROS packages need a complete operating system, low level stuff is handled elsewhere.