Gm Global Technolgoy Operations, Inc.

The Boeing Company

Vikas Kukshya

Peter Petre

Hyok Jae Song

Hariharan Krishnan

David Roderick Gerwe

Carroll C Kellum

Roy M Matic

Richard W Wiese

Jayendra S Parikh

Max H Chiz

Jose Cruz-Albrecht

Hui-Pin Hsu

Hui Pin Hsu

Mark W Wolboldt

A tire pressure monitoring system where the position and orientation of a receiver antenna associated with the tire pressure monitoring system is at a location that is proximate the tire pressure monitoring system. In one embodiment, the receiver antenna is positioned beneath a vehicle chassis. The location of the receiver antenna can be determined by system performance prediction tools that include mean-time-to-warning verses packet error rate curves for a desired packet error rate and packet error rate verses signal-to-noise ratio curves for various operational scenarios and different classes of vehicle that provides a necessary signal-to-noise ratio for a wireless link, and operational scenarios that established desired levels of performance and reliability.

Schemes and algorithms to reduce the energy and hardware costs of tire pressure monitoring systems

A system, circuit, and methods for increasing speed of an asynchronous pulse processing based hyperspectral target detection algorithm are disclosed. Stored optimized filter coefficients are used to provide initial filter coefficients. The initial filter coefficients are optimized using an asynchronous pulse processor based hyperspectral detection algorithm to provide optimized filter coefficients, and the optimized filter coefficients are stored.

Technique to increase speed of asynchronous pulse processing based hyperspectral target detection algorithm

A method for determining relative spatial information between a first vehicle and a second vehicle, the method including monitoring a communication channel at the first vehicle and receiving a current communication signal sent by the second vehicle on the communication channel. The current communication signal is received at a received power level. A relative position between the first vehicle and the second vehicle is calculated. Input to the calculating includes an actual or estimated transmitted power level, and the received power level.

Determining relative spatial information between vehicles

A system, circuit and methods for target detection from hyper-spectral image data are disclosed. Filter coefficients are determined using a modified constrained energy minimization (CEM) method. The modified CEM method can operate on a circuit operable to perform constrained linear programming optimization. A filter comprising the filter coefficients is applied to a plurality of pixels of the hyper-spectral image data to form CEM values for the pixels, and one or more target pixels are identified from the CEM values. The process may be repeated to enhance target recognition by using filter coefficients determined by excluding the identified target pixels from the hyper-spectral image data.

Advanced background estimation technique and circuit for a hyper-spectral target detection method

There is provided an exemplary tire pressure monitoring (TPM) system that can use a half-duplex wireless link to communicate between one or more wheel-mounted sensor units and a vehicle-mounted transceiver unit. The half-duplex wireless link enables the sensor units to report sensor readings to the transceiver unit, and it enables the transceiver unit to make configuration changes to the sensor units for improved communication. Some examples of wireless settings that can be modified include modulation settings, data encoding/decoding settings, error correction settings, and transmission power settings.

Tire pressure monitoring (TPM) system and method of operating the same

Growing community of inventors

Oak Park, CA, United States of America

Vikas Kukshya