| Patent application number | Description | Published |
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| 20080197526 | Process for Preparing Composites Using Epoxy Resin Formulations - Epoxy composites are prepared by separately preheating an epoxy resin and a hardener; mixing the preheated epoxy resin and preheated hardener to form a hot reaction mixture and curing the hot reaction mixture in the presence of a reinforcement until the mixture cures to form a composite having a polymer phase with a glass transition temperature of at least 150° C. | 08-21-2008 |
| 20100117394 | FLOOR MODULE INCLUDING SEATING - A fully contented floor module ( | 05-13-2010 |
| 20100133878 | FLOOR MODULE - A floor module ( | 06-03-2010 |
| 20100280187 | REACTION INJECTION MOLDED POLYURETHANES MADE USING HIGH LEVELS OF NATURAL OIL-BASED POLYOLS - Polyurethane and/or polyurea polymers are produced in a reaction injection molding process. The high equivalent weight isocyanate-reactive materials include a high proportion of a hydroxymethylated polyester which can be prepared using annually renewable starting materials. | 11-04-2010 |
| 20120259029 | METHOD FOR MAKING LOW DENSITY POLYURETHANE FOAM FOR SOUND AND VIBRATION ABSORPTION - Flexible polyurethane foams that function well in noise and vibration absorption applications are made from a mixture of polyether polyols oxides that each has a hydroxyl equivalent weight of from 1200 to 3000 and at least 70% primary hydroxyl groups. From 5 to 80% by weight of the ethylene oxide-capped polypropylene oxides are nominally difunctional, from 0.5 to 20% by weight of the ethylene oxide-capped polypropylene oxides have a nominal functionality of four or higher, and the balance of the ethylene oxide-capped polypropylene oxides, but not less than 1.5% by weight thereof, are nominally trifunctional. | 10-11-2012 |
| 20130136931 | ENVIRONMENTALLY FRIENDLY POLYURETHANE COMPOSITE PANEL - The present invention is a method to make an environmentally friendly polyurethane molded article ( | 05-30-2013 |
| 20130184368 | PROCESS FOR MAKING LOW DENSITY HIGH RESILIENCY FLEXIBLE POLYURETHANE FOAM - A process for producing resilient, flexible polyurethane foams that function well in noise and vibration absorption applications for vehicle applications that are made from a blend of polyols (i) and an isocyanate (ii), wherein the blend of polyols (i) comprises a mixture of polyether polyols (i.a) that each has a hydroxyl equivalent weight of from 1200 to 3000 and at least 70% primary hydroxyl groups, from 5 to 80% by weight of the ethylene oxide-capped polypropylene oxides are nominally difunctional, from 0.5 to 20% by weight of the ethylene oxide-capped polypropylene oxides have a nominal functionality of four or higher, and the balance of the ethylene oxide-capped polypropylene oxides, but not less than 1.5% by weight thereof, are nominally trifunctional; an autocatalytic polyol (i.b) having a functionality in the range of 2 to 8 and a hydroxyl number in the range of 15 to 200, wherein said autocatalytic polyol compound comprising at least one tertiary amine group; and a low unsaturation polyol (i.c) having a functionality equal to or greater than 2, a hydroxyl equivalent weight of from 1800 to 2800, and a total unsaturation value of equal to or less than 0.06 meq/g. | 07-18-2013 |
| Patent application number | Description | Published |
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| 20110188737 | SYSTEM AND METHOD FOR OBJECT RECOGNITION BASED ON THREE-DIMENSIONAL ADAPTIVE FEATURE DETECTORS - Method and system for imaging an object in three-dimensions, binning data of the imaged object into three dimensional bins, determining a density value p of the data in each bin, and creating receptive fields of three dimensional feature maps, including processing elements O, each processing element O of a same feature map having a same adjustable parameter, weight Wc | 08-04-2011 |
| 20140032012 | TRACKING ON-ROAD VEHICLES WITH SENSORS OF DIFFERENT MODALITIES - A vehicle system includes a first sensor and a second sensor, each having, respectively, different first and second modalities. A controller includes a processor configured to: receive a first sensor input from the first sensor and a second sensor input from the second sensor; detect, synchronously, first and second observations from, respectively, the first and second sensor inputs; project the detected first and second observations onto a graph network; associate the first and second observations with a target on the graph network, the target having a trajectory on the graph network; select either the first or the second observation as a best observation based on characteristics of the first and second sensors; and estimate a current position of the target by performing a prediction based on the best observation and a current timestamp. | 01-30-2014 |
| 20140152971 | METHOD AND APPARATUS FOR INTENSITY CALIBRATION OF MULTI-BEAM LIDAR SENSORS - A method of multi-beam Lidar intensity measurement calibration including determining, by a positioning device, position information of a moving platform within a global reference frame, collecting a plurality of data points, each data point including the position information and intensity information from a plurality of beams, segmenting the plurality of data points into a plurality of voxels, based on the position information associated with each data point, finding a subset of voxels in the plurality of voxels that include a point corresponding to a certain beam in the plurality of beams and an intensity value in a predetermined neighborhood of a certain intensity value, estimating a probability density based on the subset of voxels, and generating a calibration map that maps the certain intensity value of the certain beam to a calibrated intensity value for the certain beam, based on the probability density and a prior density. | 06-05-2014 |
| 20150117723 | METHOD FOR GENERATING ACCURATE LANE LEVEL MAPS - A method for generating accurate lane level maps based on course map information and Lidar data captured during the pass of a sensor carrying vehicle along a road. The method generates accurate lane estimates including the center of each lane, the number of lanes, and the presence of any bicycle paths and entrance and exit ramps using a computer-implemented method where the course map data and the Lidar data are subjected to particle filtering. | 04-30-2015 |
| Patent application number | Description | Published |
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| 20100034422 | OBJECT TRACKING USING LINEAR FEATURES - A method of tracking objects within an environment comprises acquiring sensor data related to the environment, identifying linear features within the sensor data, and determining a set of tracked linear features using the linear features identified within the sensor data and a previous set of tracked linear features, the set of tracked linear features being used to track objects within the environment. | 02-11-2010 |
| 20100223007 | METHOD AND SYSTEM FOR MAPPING ENVIRONMENTS CONTAINING DYNAMIC OBSTACLES - The present invention relates to a method and system for mapping environments containing dynamic obstacles. In one embodiment, the present invention is a method for mapping an environment containing dynamic obstacles using a processor including the steps of forming a current instantaneous map of the environment, determining cells which are free space within the current instantaneous map, determining cells which are occupied space within the current instantaneous map, and integrating the current instantaneous map with an old integrated map of the environment to form a new integrated map of the environment. | 09-02-2010 |
| 20110169625 | COMBINING DRIVER AND ENVIRONMENT SENSING FOR VEHICULAR SAFETY SYSTEMS - An apparatus for assisting safe operation of a vehicle includes an environment sensor system detecting hazards within the vehicle environment, a driver monitor providing driver awareness data (such as a gaze track), and an attention-evaluation module identifying hazards as sufficiently or insufficiently sensed by the driver by comparing the hazard data and the gaze track. An alert signal relating to the unperceived hazards can be provided. | 07-14-2011 |
| 20120101654 | METHOD FOR SAFELY PARKING VEHICLE NEAR OBSTACLES - Method, storage medium and system of optimizing a destination for a vehicle by obtaining a map corresponding to a desired destination of the vehicle and identifying objectives of the map based on multiple parameters including collision avoidance, driver time, legal constraints and social consensus. A cost function is constructed to determine an optimal destination based on a proximity to the desired destination and the identified objectives, and an optimal destination is identified by minimizing a value of the cost function. | 04-26-2012 |
| 20120233102 | APPARATUS AND ALGORITHMIC PROCESS FOR AN ADAPTIVE NAVIGATION POLICY IN PARTIALLY OBSERVABLE ENVIRONMENTS - An apparatus and method for automatic learning of high-level navigation in partially observable environments with landmarks uses full state information available at the landmark positions to determine navigation policy. Landmark Markov Decision Processes (MDPs) can be generated only for encountered parts of an environment when navigating from a starting state to a goal state within the environment, thereby reducing computational resources needed for a navigation solution that uses a fully modeled environment. An MDP policy is calculated using the SarsaLandmark algorithm, and the policy is transformed to a navigation solution based on the current position and connectivity information. | 09-13-2012 |
| 20120281907 | REAL-TIME 3D POINT CLOUD OBSTACLE DISCRIMINATOR APPARATUS AND ASSOCIATED METHODOLOGY FOR TRAINING A CLASSIFIER VIA BOOTSTRAPPING - Training a strong classifier by classifying point cloud data with a first classifier, inferring a first terrain map from the classified point cloud data, reclassifying the point cloud data with the first classifier based on the first terrain map, and training a second classifier based on the point cloud data reclassified with the first classifier based on the terrain map. The point cloud data is then classified with the second classifier, and the procedure followed with the first classifier is iteratively repeated until a strong classifier is determined. A strong classifier is determined when a probability of a terrain map matching a given terrain for the strong classifier is approximately equal to a probability of a terrain map matching the given terrain for a prior trained classifier. | 11-08-2012 |
| 20130031045 | METHOD AND SYSTEM FOR TRACKING OBJECTS - An object tracking system and method operable to minimize processing time for tracking objects is provided. The system includes a pair of filters operable to make associations between dynamic objects newly detected and previously detected. One of the pair of filters makes an association when the predicted location of the previously detected objects is within a predetermined distance of the newly detected object. The other of the pair of filters makes an association based upon the probability that a newly detected dynamic object is a previously detected dynamic object. The remaining unassociated dynamic objects are then localized so as to form discrete matrices for optimization filters. | 01-31-2013 |
| 20130238181 | ON-BOARD VEHICLE PATH PREDICTION USING PROCESSED SENSOR INFORMATION - A driven vehicle receives position data of a subject vehicle nearby the driven vehicle, and associates the position data of the subject vehicle with a driving model. The driving model is updated by incorporating latest position data of the subject vehicle, and a future position of the subject vehicle is predicted using the updated driving model. The predicted future position of the subject vehicle can be transmitted to other processing systems of the driven vehicle, including a collision avoidance or warning system, which provides a driver notification, and an autonomous driving system, which provides vehicle actuation. A determination is made as to whether the position data of the subject vehicle fits a currently stored and available driving model, and generates a new driving model no model fits. The new model is a multi-mode predictive state representation (MMPSR) which marginalizes unknown modes of history. | 09-12-2013 |
