Expected time of arrival with uncertainty

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SUMMARY

The discussion focuses on calculating the expected time of arrival (ETA) for a vehicle moving towards a target location with uncertainties represented by covariance matrices. The vehicle's position uncertainty is described by covariance matrix P2, while its velocity uncertainty is represented by covariance matrix P3. The uncertainties are modeled using Gaussian distributions, specifically in the form of covariance matrices. The participant seeks research papers or books to better understand this problem, and a suggestion is made to utilize the standard propagation of errors technique to express ETA as a function of the relevant variables.

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  • Understanding of covariance matrices and their applications in uncertainty modeling
  • Familiarity with Gaussian distributions and their properties
  • Knowledge of error propagation techniques in mathematical modeling
  • Basic concepts of vehicle dynamics and motion equations
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username27
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Hi,
This is actually related to my research work. Let say a location (x1,y1) is given with uncertainty in location is given by co-variance matrix P1. A vehicle is moving towards (x1,y1) from a location (x2,y2) with velocity (x2dot, y2dot). The uncertainty of the vehicle location is given by co-variance matrix P2 and uncertainty of the vehicle velocity is given by co-variance matrix P3. How can I calculate the expected time of arrival for the vehicle for this scenario?

The uncertainty is given by Gaussian distribution. For e.g., location based covariance will be in the following form P = [ σ(xx) σ(xy); σ(yx) σ(yy)]

I am pretty sure, there are no closed answers for this. What I want is what kind of research papers or books I have to read to get the idea for this problem? I could not able to find anything for the above problem until now.

Thanks
 
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Thanks DaleSpam. I will take a look and come back.
 

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