Skip to content

Unscented_Kalman_Filter, CTRV model, Sensor fusion of lidar and radar, multiobject detection

Notifications You must be signed in to change notification settings

williamhyin/SFND_Unscented_Kalman_Filter

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

SFND_Unscented_Kalman_Filter

Sensor Fusion UKF Highway Project Starter Code

In this project you will implement an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar measurements. Passing the project requires obtaining RMSE values that are lower that the tolerance outlined in the project rubric.

The main program can be built and ran by doing the following from the project top directory.

  1. mkdir build
  2. cd build
  3. cmake ..
  4. make
  5. ./ukf_highway

Note that the programs that need to be written to accomplish the project are src/ukf.cpp, and src/ukf.h

The program main.cpp has already been filled out, but feel free to modify it.

main.cpp is using highway.h to create a straight 3 lane highway environment with 3 traffic cars and the main ego car at the center. The viewer scene is centered around the ego car and the coordinate system is relative to the ego car as well. The ego car is green while the other traffic cars are blue. The traffic cars will be accelerating and altering their steering to change lanes. Each of the traffic car's has it's own UKF object generated for it, and will update each indidual one during every time step.

The red spheres above cars represent the (x,y) lidar detection and the purple lines show the radar measurements with the velocity magnitude along the detected angle. The Z axis is not taken into account for tracking, so you are only tracking along the X/Y axis.


Other Important Dependencies

Basic Build Instructions

  1. Clone this repo.
  2. Make a build directory: mkdir build && cd build
  3. Compile: cmake .. && make
  4. Run it: ./ukf_highway

Editor Settings

We've purposefully kept editor configuration files out of this repo in order to keep it as simple and environment agnostic as possible. However, we recommend using the following settings:

  • indent using spaces
  • set tab width to 2 spaces (keeps the matrices in source code aligned)

Code Style

Please stick to Google's C++ style guide as much as possible.

About

Unscented_Kalman_Filter, CTRV model, Sensor fusion of lidar and radar, multiobject detection

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published