Particle filter for Pedestrian Dead Reckoning

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The discussion focuses on implementing a particle filter for Pedestrian Dead Reckoning using MATLAB, emphasizing the use of mobile accelerometer sensors to track steps and stride length for distance calculation. The main challenge is developing a motion model and integrating accelerometer and orientation readings to enhance accuracy. Participants express interest in sharing progress and insights on the implementation process. There is a call for collaboration and updates on ongoing work in this area. Overall, the thread highlights the need for practical guidance in applying particle filtering techniques to improve pedestrian tracking accuracy.
ravishah
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Hi,
I am working on Pedestrian dead Reckoning using Particle filtering in matlab, I am using mobile accelrometer sensor to detect number of steps and stride length and calculating the total distance travelled. I want to use particle filter to enhance accuracy in my results. I have read the theory of particle filter but stuck at the point that how to implement it in matlab, How I can develop motion model, ,I have accelerometer and orientation reading as measurement. The output can be position of the object, anyody have some idea. And how to integrate it with map.
regards
ravi
 
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i am also doing work in this area, but this thread is old: are you still working on this? did you make any progress?
 

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