Apple Inc.

Evan C Cull

Lucian Ion

Micah P Kalscheur

Richard E Bills

Ryan A Gibbs

Daniel E Potter

Xiaofeng Tang

Budhadipta Dan

Jack E Graves

Christy Fernandez Cull

Matisse J Milovich

Filip Ilievski

James J Reuther

Mira S Misra

Irene Perali

Ashwin Wagadarikar

Christopher M Miller

Sheila P Nabanja

Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Nighttime sensing

A method includes determining temperature values for roadway areas ahead of a vehicle, determining lubricant state values for the roadway areas, and determining lubricant thickness values for the roadway areas. The method also includes determining a tire-road friction estimate for each of the roadway areas using the temperature values, the lubricant state values, and the lubricant thickness values, and defining a friction map that relates the tire-road friction estimates to the roadway areas. The method also includes determining a motion plan based at least in part on the friction map, and controlling the vehicle based on the motion plan.

Tire-road friction estimation and mapping

Aspects of the present disclosure involve example systems and methods for remote sensing of objects. In one example, a system includes a light source, a camera, a light source timing circuit, an exposure window timing circuit, and a range determination circuit. The light source timing circuit is to generate light pulses using the light source. The exposure window timing circuit generates multiple exposure windows for the light pulses for the camera, each of the multiple exposure windows representing a corresponding first range of distance from the camera. The range determination circuit processes an indication of an amount of light captured at the camera during an opening of each of the multiple exposure windows for one of the light pulses to determine a presence of an object within a second range of distance from the camera, the second range having a lower uncertainty than the first range.

Remote sensing for detection and ranging of objects

Aspects of the present disclosure involve example systems and methods for remote sensing of objects. In one example, a system includes a light source, a camera, a light radar (lidar) system, a region of interest identification circuit, and a range refining circuit. The region of interest identification circuit identifies a region of interest corresponding to an object and a first range of distance to the region of interest using the camera and the light source. The range refining circuit probes the region of interest to refine the first range to a second range of distance to the region of interest using the lidar system, the second range having a lower uncertainty than the first range.

A system includes a memory storing computer-readable instructions and a processor to execute the instructions to perform operations including generating multiple exposure windows for light pulses for a camera, the multiple exposure windows having a sequence comprising a first exposure window having an opening for a duration of time and each other exposure window of the multiple exposure windows having an opening for the duration of time except for a closing for a subset of the duration of time corresponding to a distance from one of a light source and the camera, wherein none of the closings of the multiple exposure windows overlaps another closing of the multiple exposure windows and determining a difference between an indication of an amount of light captured at the camera during the first exposure window and each other exposure window of the multiple exposure windows.

Systems and methods for determining object range

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Sunnyvale, CA, United States of America

Evan C Cull