Michael D Horton

6421622, Jul 16, 2002

Jun 4, 1999

09/326738

Michael A. Horton - Los Gatos CA
Jose A. Rios - Oakland CA
Jin Song - Saratoga CA

Crossbow Technology, Inc. - San Jose CA

G01P 2100

702 95, 702151, 702155, 701 11, 701220

A method and system senses the attitude of an accelerating object. Attitude sensing is accomplished by measuring acceleration in three orthogonal axes and measuring angular rate about each such axis to compute attitude accurately relative to a vertical axis. The system includes accelerometers and angular rate sensors for sensing the acceleration and the angular rate, respectively, of the object. A processor updates a quarternion representation of attitude based upon the angular rate of the object and a corrective rate signal to obtain the attitude of the object. Temperature compensation and frequency compensation may also be performed to update the quarternion.

6647352, Nov 11, 2003

May 1, 2002

10/136955

Michael A. Horton - Los Gatos CA

Crossbow Technology - San Jose CA

G01C 1700

702151

A method and system attitude of an accelerating object by measuring acceleration with accelerometers in three orthogonal axes and measuring angular rate with angular rate sensors disposed about each such axis to compute attitude of the object accurately relative to a vertical axis. A processor updates a quaternion representation of attitude based upon the angular rate of the object, and a corrective rate signal is determined from level frame acceleration as a reference for a Kalman filter in calculating the attitude of the object.

6853947, Feb 8, 2005

Oct 13, 2003

10/684950

Michael A. Horton - Los Gatos CA, US

Crossbow Technology - San Jose CA

G06F015/00

702151, 702150

A method and system senses the attitude of an accelerating object by measuring acceleration with accelerometers in three orthogonal axes and measuring angular rate with angular rate sensors disposed about each such axis to compute attitude of the object accurately relative to a vertical axis. A processor updates a quaternion representation of attitude based upon the angular rate of the object, and a corrective rate signal is determined from level frame acceleration as a reference for a Kalman filter in calculating the attitude of the object.

7176808, Feb 13, 2007

Nov 11, 2003

10/706225

Alan S. Broad - Palo Alto CA, US
Matt Miller - Grass Valley CA, US
Michael A. Horton - Los Gatos CA, US

Crossbow Technology, Inc. - San Jose CA

G08B 23/00

34087007, 707100, 370331

A method and system updates a network of sensors remotely through the use of a communication link. The sensors to be updated as well as data files to perform the updating are selected at a base station. The selected sensors are notified of the upcoming update by the base station and may accept or reject the update. The sensors that approve the update then receive data files through the communication link. The sensors notify the base station of any missing data files, which are then retransmitted to all sensors that may be missing data files from the first transmission. After the sensors receive all data files, the update is initiated.

7216055, May 8, 2007

Dec 30, 2004

11/026256

Michael A. Horton - Santa Clara CA, US
Jose Rios - Lafayette CA, US

Crossbow Technology, Inc. - San Jose CA

G06F 15/00

702153, 702150

A method and system senses the attitude of an accelerating object by measuring acceleration with accelerometers in three orthogonal axes and measuring angular rate with angular rate sensors disposed about each such axis to compute attitude of the object accurately relative to a vertical axis. A processor updates a quaternion representation of attitude based upon the angular rate of the object, and a corrective rate signal is determined from level frame acceleration as a reference for a Kalman filter in calculating the attitude of the object. When velocity or airspeed is available from an external source, an aiding algorithm is employed to provide accurate attitude representations throughout all flight regimes.

7369047, May 6, 2008

Mar 30, 2005

11/096098

Alan S. Broad - Palo Alto CA, US
Michael A. Horton - Santa Clara CA, US

Crossbow Technology, Inc. - San Jose CA

G08B 13/14

3405721, 3405731, 340 101, 705 22, 235385, 370254, 370310

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of radio-frequency identification signals, and indicative of proximity sensing at the module. A central computer accumulates the data produced or received and relayed by each module for analyzing inventory, pricing and customer responses to transmit through the adaptive network signals representative of information to be displayed at selectively-addresses modules in response to computer analyses of the data accumulated from modules forming an adaptive network.

7418364, Aug 26, 2008

Jun 1, 2006

11/446063

Michael A. Horton - Santa Clara CA, US
Jose Rios - Lafayette CA, US

Crossbow Technology, Inc. - San Jose CA

G06F 15/00

702153, 702151

A method and system senses the attitude of an accelerating object by measuring acceleration with accelerometers in three orthogonal axes and measuring angular rate with angular rate sensors disposed about each such axis to compute attitude of the object accurately relative to a vertical axis. A processor updates a quaternion representation of attitude based upon the angular rate of the object, and a corrective rate signal is determined from level frame acceleration as a reference for a Kalman filter in calculating the attitude of the object. When velocity or airspeed is available from an external source, an aiding algorithm is employed to provide accurate attitude representations throughout all flight regimes.

7705729, Apr 27, 2010

Mar 30, 2005

11/095640

Alan S. Broad - Palo Alto CA, US
Michael A. Horton - Santa Clara CA, US

MEMSIC, Inc. - Andover MA

G08B 13/00

340541, 3405391, 3405721, 3405731

A plurality of modules interact to form an adaptive network in which each module transmits and receives data signals indicative of proximity of objects. A central computer accumulates the data produced or received and relayed by each module for analyzing proximity responses to transmit through the adaptive network control signals to a selectively-addressed module to respond to computer analyses of the data accumulated from modules forming the adaptive network.