Apple Inc.

YoungWoo Seo

Matthew Emanuel Last

Randol W Aikin

Kshitiz Garg

Matisse J Milovich

Aspects of the present disclosure involve systems and methods for obtaining real-time road friction coefficient estimations. In one embodiment, a regression function is learned using a training data set which correlates input data measurements arriving from onboard system sensors and coefficient estimations arriving from an extension system. In another embodiment, the learned regression function can be retrieved to obtain real-time road friction coefficient estimations while the system is in motion.

System and method for road friction coefficient estimation

Aspects of the present disclosure involve systems, methods, computer program products, and the like, for creating a database of pull-off areas for a vehicle based on aggregated pull-off information received from a plurality of vehicles and other sources. In one embodiment, the aggregated, crowd-sourced pull-off information may be available to a mobile device (such as an autonomous vehicle or mobile communication device) for reference by the device to understand the condition, location, and availability of potential pull-off areas near a roadway.

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Pleasanton, CA, United States of America

YoungWoo Seo