Ford Global Technolgoies, LLC

Alexander George Shanku

David Michael Herman

Catherine M Amodeo

Venkatesh Krishnan

Yashanshu Jain

Aaron Lesky

Keith Van Gorder

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive lidar data from a lidar device, generate a point cloud from the lidar data, identify an object in the point cloud, and, upon identifying the object, delete a portion of the lidar data that is from a region encompassing the object. The object includes personally identifiable information.

Anonymizing personally identifiable information in sensor data

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive operation data generated by first components of a vehicle; determine that the vehicle is being operated autonomously by an on-board autonomous-operation module based on the operation data without using output from the on-board autonomous-operation module; and upon determining that the vehicle is being operated autonomously, actuate a second component of the vehicle.

Detection of autonomous operation of a vehicle

A computer includes a processor and a memory storing instructions executable by the processor to predict a quantity of misalignment of an optical sensor based on a projected motion of a vehicle, predict an error of the predicted quantity of misalignment, and actuate the vehicle based on the predicted quantity of misalignment and the predicted error. The vehicle includes the optical sensor.

Sensor misalignment correction

A computer includes a processor and a memory storing instructions executable by the processor to receive a first time series of positions of a vehicle sensor mounted on a vehicle from at least one calibration sensor spaced from the vehicle, measured while vibrations are applied to the vehicle; receive a second time series of motion of the vehicle sensor based on data from the vehicle sensor measured while the vibrations are applied to the vehicle; fuse the first and second time series; and determine at least one calibration value for an adjustment model based on the fusion of the first and second time series. The adjustment model is a model of motion of the vehicle sensor relative to the vehicle resulting from motion of the vehicle.

Growing community of inventors

Grosse Pointe Park, MI, United States of America

Alexander George Shanku