US 12,259,694 B2
Systems and methods for sensor data processing and object detection and motion prediction for robotic platforms
Abhishek Mohta, San Mateo, CA (US); Fang-Chieh Chou, Redwood City, CA (US); Carlos Vallespi-Gonzalez, Wexford, PA (US); Brian C. Becker, Pittsburgh, PA (US); and Nemanja Djuric, Pittsburgh, PA (US)
Assigned to AURORA OPERATIONS, INC., Pittsburgh, PA (US)
Filed by Aurora Operations, Inc., Pittsburgh, PA (US)
Filed on May 6, 2024, as Appl. No. 18/656,210.
Application 18/656,210 is a continuation of application No. 17/501,614, filed on Oct. 14, 2021, granted, now 12,007,728.
Claims priority of provisional application 63/091,401, filed on Oct. 14, 2020.
Prior Publication US 2024/0369977 A1, Nov. 7, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 13/02 (2006.01); B60W 50/00 (2006.01); B60W 60/00 (2020.01)
CPC G05B 13/0265 (2013.01) [B60W 60/001 (2020.02); B60W 50/00 (2013.01); B60W 2050/0052 (2013.01); B60W 2050/0083 (2013.01); B60W 2420/403 (2013.01); B60W 2420/408 (2024.01); B60W 2556/35 (2020.02)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
(a) obtaining sensor data from a plurality of sensors comprising at least two different sensor modalities;
(b) applying independent sensor dropout to the at least two different sensor modalities;
(c) fusing the sensor data from the at least two different sensor modalities with sensor dropout independently applied thereto to generate a fused sensor sample;
(d) generating a training data set comprising the fused sensor sample; and
(e) training a machine-learned model for object detection using the training data set, wherein the trained machine-learned model is employed by a robotic platform operating within an environment.