Expected time of arrival with uncertainty

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The discussion focuses on calculating the expected time of arrival (ETA) for a vehicle moving towards a target location with uncertainties in both position and velocity, represented by covariance matrices. The uncertainties are modeled using Gaussian distributions, and the user seeks guidance on relevant research papers or books to understand this problem better. A suggestion is made to express ETA as a function of the given parameters and apply standard error propagation techniques. The user expresses gratitude for the advice and plans to explore the provided resources. This inquiry highlights the complexities of ETA calculations in uncertain environments.
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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