Systems and methods for cooperative sensor fusion by parameterized covariance generation in connected autonomous vehicles
OwnerEdward Andert, Aviral Shrivastavainventors
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OwnerEdward Andert, Aviral Shrivastavainventors
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A system disclosed herein applies a parameterized sensing and localization error model for use by connected devices to improve cooperative sensor fusion by estimating errors using key prediction factors (e.g., distance and velocity) at different tiers. The parameterized sensing and localization error model implements a local sensor fusion process for fusing measurements from sensors of a connected device and a global sensor fusion process for fusing measurements from many connected devices. The local sensor fusion process generates a covariance matrix that incorporates a measured distance and the global sensor fusion process generates a covariance matrix that incorporates a measured velocity combined with the local sensor fusion result. Results show an average improvement of 1.42× in RMSE vs. a typical fixed error model on a 1/10 scale test-bed.
A system, comprising:
A method, comprising:
One or more non-transitory computer-readable media including instructions executable by one or more processors to:
Dependencies are inferred from the claim text.