Other

Waymo LLC

Aditya Narendra Joshi

Lo Po Tsui

Ingrid Fiedler

Aspects of the disclosure relate to training a labeling model to automatically generate labels for objects detected in a vehicle's environment. In this regard, one or more computing devices may receive sensor data corresponding to a series of frames perceived by the vehicle, each frame being captured at a different time point during a trip of the vehicle. The computing devices may also receive bounding boxes generated by a first labeling model for objects detected in the series of frames. The computing devices may receive user inputs including an adjustment to at least one of the bounding boxes, the adjustment corrects a displacement of the at least one of the bounding boxes caused by a sensing inaccuracy. The computing devices may train a second labeling model using the sensor data, the bounding boxes, and the adjustment to increase accuracy of the second labeling model when automatically generating bounding boxes.

Auto labeler

The invention uses optically active dyes or other optically active materials to perform digital data processing and logic functions on optical data. The data is carried in pulses of photons of wavelengths appropriate to interact with the optically active materials to excite or de-excite them. The use of the invention in performing various optical processing functions is described.

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Niskayuna, NY, United States of America

Aditya Narendra Joshi