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images

 
 

1. Robot Moving and Sensing.html

1. Robot Moving and Sensing.html

 
 

1. Robot Moving and Sensing.ipynb

1. Robot Moving and Sensing.ipynb

 
 

2. Omega and Xi, Constraints.ipynb

2. Omega and Xi, Constraints.ipynb

 
 

3. Landmark Detection and Tracking.html

3. Landmark Detection and Tracking.html

 
 

3. Landmark Detection and Tracking.ipynb

3. Landmark Detection and Tracking.ipynb

 
 

4. Zip Your Project Files and Submit.ipynb

4. Zip Your Project Files and Submit.ipynb

 
 

README.md

README.md

 
 

filelist.txt

filelist.txt

 
 

helpers.py

helpers.py

 
 

project3.zip

project3.zip

 
 

robot_class.py

robot_class.py

 
 

README.md

Landmark Detection

In this project, I implement SLAM (Simultaneous Localization and Mapping) for a 2-dimensional world. Sensor and motion data gathered by a simulated robot is used to create a map of an environment. SLAM gives us a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, etc.

The Udacity repository for this project: Project_Landmark Detection