Matthew B Campbell

US Patent:

20080128015, Jun 5, 2008

Filed:

Apr 20, 2007

Appl. No.:

11/738079

Inventors:

Daniel S. Shugar - San Bruno CA, US
John Peurach - San Francisco CA, US
Matthew P. Campbell - Berkeley CA, US

Assignee:

PowerLight Corporation - Berkeley CA

International Classification:

H01L 31/052

US Classification:

136246

Abstract:

A PV assembly comprises a support assembly and first and second PV elements mounted to the support assembly with a gap separating the PV elements. The PV elements are bifacial PV elements having upper and lower active, energy-producing PV surfaces. The gap is a light-transmitting gap. The assembly also includes a light-reflecting surface carried by the support assembly beneath the PV elements and spaced apart from the PV elements so that light passing through the gap can be reflected back onto the lower PV surface of at least one of the PV elements.

US Patent:

20100139649, Jun 10, 2010

Filed:

Feb 13, 2009

Appl. No.:

12/370997

Inventors:

Charles B. ALMY - Berkeley CA, US
Matthew P. CAMPBELL - Berkeley CA, US
Reuben SANDLER - Berkeley CA, US
Brian S. WARES - Sacramento CA, US
Elizabeth N. WAYMAN - Emeryville CA, US
Yin ZHOU - Fremont CA, US

International Classification:

F24J 2/46
E02D 5/74
E02D 5/80

US Classification:

126704, 52160

Abstract:

One embodiment relates to an earth-penetrating apparatus. The apparatus includes a pole with a hollow portion therein and a bottom end which is configured to be driven into ground. Anchoring parts are configured to be radially extendable from the pole. In addition, an expansion mechanism is configured to apply a force to the anchoring parts so as to radially extend the anchoring parts from the pole after the pole has been driven into the ground. Another embodiment relates to a solar collector arrangement that includes a plurality of earth-penetrating anchors. Other embodiments, aspects and features are also disclosed.

US Patent:

20110277743, Nov 17, 2011

Filed:

Jul 20, 2011

Appl. No.:

13/187018

Inventors:

Charles B. ALMY - Berkeley CA, US
Matthew P. CAMPBELL - Berkeley CA, US
Reuben SANDLER - Berkeley CA, US
Brian S. WARES - Sacramento CA, US
Elizabeth N. WAYMAN - Richmond CA, US
Yin ZHOU - Fremont CA, US

International Classification:

E02D 5/80
F24J 2/00

US Classification:

126569, 52158

Abstract:

One embodiment relates to an earth-penetrating apparatus. The apparatus includes a pole with a hollow portion therein and a bottom end which is configured to be driven into ground. Anchoring parts are configured to be radially extendable from the pole. In addition, an expansion mechanism is configured to apply a force to the anchoring parts so as to radially extend the anchoring parts from the pole after the pole has been driven into the ground. Another embodiment relates to a solar collector arrangement that includes a plurality of earth-penetrating anchors. Other embodiments, aspects and features are also disclosed.

US Patent:

20230004801, Jan 5, 2023

Filed:

Aug 30, 2022

Appl. No.:

17/898887

Inventors:

- Santa Clara CA, US
John Zedlewski - San Francisco CA, US
Zachary Taylor - Santa Cruz CA, US
Greg Heinrich - Nice, FR
Claire Delaunay - Menlo Park CA, US
Mark Daly - Eagle ID, US
Matthew Campbell - Surf City NC, US
Curtis Beeson - Irwin PA, US
Gary Hicok - Mesa CA, US
Michael Cox - Menlo Park CA, US
Rev Lebaredian - Los Gatos CA, US
Tony Tamasi - Portola Valley CA, US
David Auld - Saratoga CA, US

International Classification:

G06N 3/08
G06N 20/00
G06F 9/455
G06N 3/063
G06K 9/62
G06N 3/04
G06V 10/44
G06V 20/56

Abstract:

In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

US Patent:

20190303759, Oct 3, 2019

Filed:

Mar 27, 2019

Appl. No.:

16/366875

Inventors:

- San Jose CA, US
John Zedlewski - San Francisco CA, US
Zachary Taylor - Santa Cruz CA, US
Greg Heinrich - Nice, FR
Claire Delaunay - Menlo Park CA, US
Mark Daly - Eagle ID, US
Matthew Campbell - Surf City NC, US
Curtis Beeson - Irwin PA, US
Gary Hicok - Mesa AZ, US
Michael Cox - Menlo Park CA, US
Rev Lebaredian - Los Gatos CA, US
Tony Tamasi - Portola Valley CA, US
David Auld - Saratoga CA, US

International Classification:

G06N 3/08
G06F 9/455
G06N 20/00

Abstract:

In various examples, physical sensor data may be generated by a vehicle in a real-world environment. The physical sensor data may be used to train deep neural networks (DNNs). The DNNs may then be tested in a simulated environment—in some examples using hardware configured for installation in a vehicle to execute an autonomous driving software stack—to control a virtual vehicle in the simulated environment or to otherwise test, verify, or validate the outputs of the DNNs. Prior to use by the DNNs, virtual sensor data generated by virtual sensors within the simulated environment may be encoded to a format consistent with the format of the physical sensor data generated by the vehicle.

Author:

Matthew Campbell

ISBN #:

0521012457

Author:

Matthew Campbell

ISBN #:

0521604222

Author:

Matthew Campbell

ISBN #:

0521642957

Author:

Matthew Campbell

ISBN #:

0521813018