| Patent application number | Description | Published |
|---|
| 20080291014 | SYSTEM AND METHOD FOR REMOTE DIAGNOSIS AND REPAIR OF A PLANT MALFUNCTION WITH SOFTWARE AGENTS - A system and method for the remote diagnosis and repair of a plant malfunction in an automotive vehicle. The method includes the step of sending a plant malfunction diagnostic request to the remote station. Thereafter, the remote station transmits a software agent selected as a function of the nature of the malfunction from the remote station and to the vehicle. Upon execution, the software agent collects plant data relevant to the malfunction and transmits that collected data from the vehicle and to the remote station. The remote station analyzes the data to diagnose the cause of the plant malfunction and, if necessary, transmits additional diagnostic software agents to the vehicle to complete the diagnosis and then generates an output signal as a result of that analysis. If the malfunction is repairable at the plant, such as a software malfunction, the remote station transmits a software agent to the vehicle to perform the repair. | 11-27-2008 |
| 20080291032 | SYSTEM AND METHOD FOR REDUCING BOREDOM WHILE DRIVING - Embodiments of the present invention include systems and methods for reducing driver boredom for the driver of a vehicle particularly for vehicle environments such as straight roads and lack of traffic that are likely to induce boredom. An example system includes an electronic circuit such as a computer, a vehicle environment monitor, a driver interface, and a driver stimulation device such as a semitransparent display. | 11-27-2008 |
| 20090112395 | SYSTEM FOR DETECTING A BATTERY MALFUNCTION AND PERFORMING BATTERY MITIGATION FOR AN HEV - A system for detecting malfunction of a battery in a hybrid electric vehicle and optionally mitigating the battery fault. A neural network forms a diagnostic circuit which receives signals representative of the required driveshaft torque and speed over a diagnostic period and a prior state of charge of the battery at the beginning of the diagnostic period as input signals. The diagnostic circuit generates an output signal representing a difference between an estimated state of charge of the battery at the end of the diagnostic period and the actual state of charge of the battery. In the event that the difference exceeds a predetermined threshold, a battery fault signal is generated. The battery fault signal may be employed to vary the engine speed and/or torque to perform battery fault mitigation by increasing the state of charge of the battery. | 04-30-2009 |
| 20090224896 | METHOD AND SYSTEM FOR INTRUSION DETECTION - Provided is a system and method for detecting the presence of an intruder in a vehicle using sensors to measure the change in distance between a portion of the vehicle and the ground. Distance sensors may be placed in a plurality of locations along the vehicle, preferably under the hood where the sensors have a clear line of sight to the ground. A computer is provided to receive the measurements from the sensors to compute a base distance which represents the weight of the vehicle with no intruder. The sensors continue to measure the distance to the ground and the computer subsequently computes a present distance and compares said present distance to said base distance. The computer activates an alarm when the present distance is lesser than the base distance by a predetermined value. | 09-10-2009 |
| 20090322871 | METHOD AND SYSTEM OF SPARSE CODE BASED OBJECT CLASSIFICATION WITH SENSOR FUSION - A system and method for object classification based upon the fusion of a radar system and a natural imaging device using sparse code representation. The radar system provides a means of detecting the presence of an object within a predetermined path of a vehicle. Detected objects are then fused with the image gathered by the camera and then isolated in an attention window. The attention window is then transformed into a sparse code representation of the object. The sparse code representation is then compared with known sparse code representation of various objects. Each known sparse code representation is given a predetermined variance and subsequent sparse code represented objects falling within said variance will be classified as such. The system and method also includes an associative learning algorithm wherein classified sparse code representations are stored and used to help classifying subsequent sparse code representation. | 12-31-2009 |
| 20090326796 | METHOD AND SYSTEM TO ESTIMATE DRIVING RISK BASED ON A HEIRARCHICAL INDEX OF DRIVING - A system and method for providing driving risk assessment for a host vehicle equipped with on-board sensors or vehicle-to-vehicle or infrastructure-to-vehicle systems. The system includes a hierarchical index of passive driving conditions, a means of collecting active driving conditions and a processor whereby the sum of passive driving conditions may be further refined by the active driving conditions The method incorporates a hierarchical index of risks associated with passive driving conditions, and refining said risks with active driving conditions of the vehicle to generating a driving risk assessment for current vehicle operation. | 12-31-2009 |
| 20100092073 | SYSTEM AND METHOD FOR OBJECT RECOGNITION AND CLASSIFICATION USING A THREE-DIMENSIONAL SYSTEM WITH ADAPTIVE FEATURE DETECTORS - A method including imaging an object in three-dimensions; binning data of the imaged object into three-dimensional regions having a predetermined size; determining a density value p of the data in each bin; inputting the p density values of the bins into a first layer of a computational system including a corresponding processing element for each of the bins; calculating an output O of the processing elements of the computational system while restricting the processing elements to have weights Wc | 04-15-2010 |
| 20100128975 | METHOD AND SYSTEM FOR OBJECT RECOGNITION BASED ON A TRAINABLE DYNAMIC SYSTEM - A system for object recognition in which a multi-dimensional scanner generates a temporal sequence of multi-dimensional output data of a scanned object. That data is then coupled as an input signal to a trainable dynamic system. The system exemplified by a general-purpose recurrent neural network is previously trained to generate an output signal representative of the class of the object in response to a temporal sequence of multi-dimensional data. | 05-27-2010 |
| 20100215254 | Self-Learning Object Detection and Classification Systems and Methods - A method of object classification based upon fusion of a remote sensing system and a natural imaging system is provided. The method includes detecting an object using the remote sensing system. An angle of view of a video camera of the natural imaging system is varied. An image including the object is generated using the natural imaging system. The natural imaging system may zoom in on the object. The image represented in either pixel or transformed space is compared to a plurality of templates via a competition based neural network learning algorithm. Each template has an associated label determined statistically. The template with a closest match to the image is determined. The image may be assigned the label associated with the relative location of the object, the relative speed of the object, and the label of the template determined statistically to be the closest match to the image. | 08-26-2010 |
| 20100222897 | DISTRIBUTED FAULT DIAGNOSIS - A distributed diagnosis algorithm based on a multi-signal digraph model of an overall system is provided. In addition, a model enables the generation of a fault-test dependency matrix (D-matrix), which summarizes the detection capabilities of tests designed for faults associated with each node. Each row represents a fault state and each column represents a test. | 09-02-2010 |
| 20100222939 | Methods and Systems for Remotely Managing A Vehicle - A method for managing a vehicle is disclosed wherein the method includes receiving an identification (ID) code associated with at least one user. The method further includes corresponding the ID code to at least one user profile following verification of the ID code and executing a vehicle setting associated with the at least one user profile. An apparatus for remotely managing a vehicle setting is further disclosed. The apparatus includes memory for storing at least one user profile. The apparatus further includes a processor coupled to the memory, the processor configured to receive an identification (ID) code corresponding to the at least one user profile. Furthermore, the processor is in communication with a vehicle processing system operable to execute a vehicle setting associated with the at least one user profile. | 09-02-2010 |
| 20100274433 | SYSTEM FOR DETERMINING MOST PROBABLE CAUSE OF A PROBLEM IN A PLANT - A system for determining a most probable cause or causes of a problem in a plant is disclosed. The system includes a plant, the plant having a plurality of subsystems that contribute to the operation of the plant, the plurality of subsystems having operating functions that produce operational signals. A plurality of sensors that are operable to detect the operational signals from the plurality of subsystems and transmit data related to the signals is also provided. An advisory system is disclosed that receives an input, the input being in the form of data from the plurality of sensors, possible input root causes of the problem, possible input symptoms of the problem and/or combinations thereof. The advisory system has an autoencoder in the form of a recurrent neural network. The recurrent neural network has sparse connectivity in a plurality of nodes, and the autoencoder is also operable to receive the input and perform multiple iterations of computations at each of the plurality of nodes as a function of the input and provide an output. The output can be in the form of possible output causes of the problem, possible output symptoms of the problem and/or combinations thereof. | 10-28-2010 |
| 20100312744 | SYSTEM FOR BATTERY PROGNOSTICS - A battery prognosis system for estimating the remaining useful life of a battery includes a sensor input, a conversion module, and a mapping module. The sensor input is capable of receiving a measurement signal from a sensor measuring properties of the battery. The conversion module is in electronic communication with the sensor input to receive the measurement signal and processes the measurement signal into an output signal of internal parameters of the battery. A mapping model trained on actual battery performance data in the mapping module maps the output signal and time variant parameters related to the output signal to generate a battery life signal corresponding to an estimate of the remaining useful life of the battery. | 12-09-2010 |
| 20110046846 | PROCESS AND SYSTEM FOR CONTROLLING AIR QUALITY WITHIN AN INTERIOR OF A MOTOR VEHICLE - The present invention discloses a process for controlling air quality within an interior of a motor vehicle. The process can include providing a motor vehicle with a heating-venting-air conditioning (HVAC) system, the HVAC system having an internal air supply option and an external air supply option. The process can also include providing a reinforcement learning system that can increase the air quality within the motor vehicle as a function of user preferences with respect to choosing the external air supply or the internal air supply. | 02-24-2011 |
