GitHub - ybv/tracking_analysis: Comparing Kalman filtering with Particle filtering as ways to localize and track the location of a robot in a known planar environment. The position and orientation of the robot is state. The only observation available to the robot is a single laser beam that measures range between the robot and an obstacle directly in front of it.

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finalprojectreport.pdf		finalprojectreport.pdf
kalman_rob_pro.py		kalman_rob_pro.py
particlefilter_rob_pro.py		particlefilter_rob_pro.py

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Comparing Kalman filtering with Particle filtering as ways to localize and track the location of a robot in a known planar environment. The position and orientation of the robot is state. The only observation available to the robot is a single laser beam that measures range between the robot and an obstacle directly in front of it.