Skip to content

Sensor fusion using bayesian probabilistic methods such as the IMM-PDAF, ESKF and EKF-SLAM. Assignment in the TTK4250 sensor fusion course.

License

Notifications You must be signed in to change notification settings

HaavardM/ttk4250-sensor-fusion

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ttk4250-sensor-fusion-IMM-PDAF

Assignment in the TTK4250 sensor fusion course. The repo contains three projects:

  1. Interactive Multiple Model Probability Data Association Filter (IMM-PDAF) for tracking a moving boat using radar.
  2. Error State Kalman Filter (ESKF) for intertial navigation of a UAV using IMU and GPS.
  3. EKF-SLAM for positioning using range-bearing measurements of landmarks and odometry for robot velocity.

About

Sensor fusion using bayesian probabilistic methods such as the IMM-PDAF, ESKF and EKF-SLAM. Assignment in the TTK4250 sensor fusion course.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published