Saturday, February 28, 2015

Kalman Sensor Fusion + Location Fusion - oDesk

Implement and validate location and orientation fusion algos in Matlab/Octave. If you feel brave help implement them in C++/Java.



We're an automotive start-up looking for very smart, creative individuals with hands-on experience of sensor fusion to help us create cutting-edge mathematical driving models.



Specifically we're looking for people with strong maths and statistics and a background perhaps in robotics or drones who have experience with location and orientation fusion techniques, including:



> 9-axis IMU fusion, automated calibration routines and techniques.



> Implementing Kalman filters possibly EKF, UKF or particle filters as orientation/location estimators



> In particular we're looking to handle both sensors with gaussian-like (e.g. MEMS sensors) and fat-tail noise (e.g. GPS sensors).



It's anticipated the models will be written/validated in Matlab/Octave and and later implemented in C++/Java. We're primarily looking for the former skill-set, though the latter will be a bonus.



Kindly reply with relevant experience and I'll send over more information on the project.



Cheers,

Mark



Posted On: February 28, 2015 08:04 UTC

ID: 205207303

Category: Software Development > Other - Software Development

Skills: Array, Array, Array, Array

Country:

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