Uatc, LLC

Carnegie Mellon University

Uber Technologies, Inc.

Michael Knoll Sergi-Curfman

Gehua Yang

James Andrew Bagnell

Nicholas G Letwin

David LaRose

Morgan D Jones

Christopher Chandler Fromme

L Douglas Baker

David Jonathan Stager

Elliot Allen Cuzzillo

David Arthur Larose

Aspects of the present disclosure involve a vehicle computer system comprising a computer-readable storage medium storing a set of instructions, and a method for light detection and ranging (Lidar) intensity calibration. The method includes collecting a data set comprising a plurality of raw intensity values output by a channel of a Lidar unit at a particular power level from among multiple power levels at which the channel is capable of operating. The method further includes using a linear model to compute a calibration multiplier and a bias value for the particular power level of the channel. During operation of the vehicle, calibrated intensity values are determined by applying the linear model to subsequent raw intensity values output by the channel at the particular power using the determined calibration multiplier and bias value.

Lidar intensity calibration

An autonomous-capable vehicle which can be operated in a transitional state from manual vehicle operation to autonomous vehicle operation. In the transitional state, the vehicle operates autonomously and overrides manual interaction of the user. To maintain the transitional state, the driver performs a continuous action, such as providing a continuous interaction with a switching mechanism.

Control system for autonomous-capable vehicles

The present invention encompasses software that brings together computer vision and machine learning algorithms that can evaluate and sort plants into desired categories. While one embodiment of the present invention is directed toward strawberry plants, the software engine described is not specifically designed for strawberry plants but can be used for many different types of plants that require sophisticated quality sorting. The present invention is a sequence of software operations that can be applied to various crops (or other objects besides plants) in a re-usable fashion.

Computer vision and machine learning software for grading and sorting plants

Growing community of inventors

Pittsburgh, PA, United States of America

Michael Knoll Sergi-Curfman