3126 results about "Multi sensor" patented technology

A sensor system for use in a vehicle that integrates sensor data from more than one sensor in an effort to facilitate collision avoidance and other types of sensor-related processing. The system include external sensors for capturing sensor data external to the vehicle. External sensors can include sensors of a wide variety of different sensor types, including radar, image processing, ultrasonic, infrared, and other sensor types. Each external sensor can be configured to focus on a particular sensor zone external to the vehicle. Each external sensor can also be configured to focus primarily on particular types of potential obstacles and obstructions based on the particular characteristics of the sensor zone and sensor type. All sensor data can be integrated in a comprehensive manner by a threat assessment subsystem within the sensor system. The system is not limited to sensor data from external sensors. Internal sensors can be used to capture internal sensor data, such a vehicle characteristics, user attributes, and other types of interior information. Moreover, the sensor system can also include an information sharing subsystem of exchanging information with other vehicle sensor systems or for exchanging information with non-vehicle systems such as a non-movable highway sensor system configured to transmit and receive information relating to traffic, weather, construction, and other conditions. The sensor system can potentially integrate data from all different sources in a comprehensive and integrated manner. The system can integrate information by assigning particular weights to particular determinations by particular sensors.

A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser / owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and / or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and / or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.

Portable locators are disclosed for finding and mapping buried objects such as utilities. A articulatable antenna node configuration and the use of Doppler radar and GPS navigation are also disclosed.

Portable locators are disclosed for finding and mapping buried objects such as utilities. A articulatable antenna node configuration and the use of Doppler radar and GPS navigation are also disclosed.

The system and method for standoff detection of human carried explosives (HCE) is a portable system that automatically detects HCE up to a range of 200 meters and within seconds alerts an operator to HCE threats. The system has radar only, or both radar and video sensors, a multi-sensor processor, an operator console, handheld displays, and a wideband wireless communications link. The processor receives radar and video feeds and automatically tracks and detects all humans in the field of view. Track data continuously cues the narrow beam radar to a subject of interest, the radar repeatedly interrogating cued objects, producing a multi-polarity radar range profile for each interrogation event. Range profiles and associated features are automatically fused over time until sufficient evidence is accrued to support a threat / non-threat declaration hypothesis. Once a determination is made, the system alerts operators through a handheld display and mitigates the threat if desired.

A multi-sensor system can be attached to a high voltage power line, draw power from the power line inductively, and convert the power to lower voltages and direct currents for operating cameras, sensors, a processor, and communications equipment that provide persistent intelligence, surveillance, and reconnaissance capabilities. The multi-sensor system can detect and track targets in detection regions and transmit such detection data and other data from the camera and sensors to a remote operator who can initiate response actions and send control instructions to the multi-sensor system from the remote location.

An apparatus and method for gesture detection and recognition. The apparatus includes a processing element, a radar sensor, a depth sensor, and an optical sensor. The radar sensor, the depth sensor, and the optical sensor are coupled to the processing element, and the radar sensor, the depth sensor, and the optical sensor are configured for short range gesture detection and recognition. The processing element is further configured to detect and recognize a hand gesture based on data acquired with the radar sensor, the depth sensor, and the optical sensor.

An autonomous computer based method and system is described for personalized production of videos such as team sport videos such as basketball videos from multi-sensored data under limited display resolution. Embodiments of the present invention relate to the selection of a view to display from among the multiple video streams captured by the camera network. Technical solutions are provided to provide perceptual comfort as well as an efficient integration of contextual information, which is implemented, for example, by smoothing generated viewpoint / camera sequences to alleviate flickering visual artefacts and discontinuous story-telling artefacts. A design and implementation of the viewpoint selection process is disclosed that has been verified by experiments, which shows that the method and system of the present invention efficiently distribute the processing load across cameras, and effectively selects viewpoints that cover the team action at hand while avoiding major perceptual artefacts.

A system and methods for autonomously tracking and simultaneously providing surveillance of a target from air vehicles. In one embodiment the system receives inputs from outside sources, creates tracks, identifies the targets and generates flight plans for unmanned air vehicles (UAVs) and camera controls for surveillance of the targets. The system uses predictive algorithms and aircraft control laws. The system comprises a plurality of modules configured to accomplish these tasks. One embodiment comprises an automatic target recognition (ATR) module configured to receive video information, process the video information, and produce ATR information including target information. The embodiment further comprises a multi-sensor integrator (MSI) module configured to receive the ATR information, an air vehicle state input and a target state input, process the inputs and produce track information for the target. The embodiment further comprises a target module configured to receive the track information, process the track information, and produce predicted future state target information. The embodiment further comprises an ownship module configured to receive the track information, process the track information, and produce predicted future state air vehicle information. The embodiment further comprises a planner module configured to receive the predicted future state target information and the predicted future state air vehicle information and generate travel path information including flight and camera steering commands for the air vehicle.

The invention discloses a multi-sensor information fusion-based forward collision and lane departure pre-warning device, which comprises a millimeter-wave radar, a communication interface module, a video camera, an image acquisition module, a display module, a warning module and a vehicle-mounted processing unit, wherein the vehicle-mounted processing unit can perform fusion processing of radar signals and machine visual information from the communication interface module and the image acquisition module. The pre-warning device is used for warning of forward collision and lane departure of a vehicle, and a pre-warning method comprises the steps of: driving devices; receiving and processing radar data and image data; fusing information; and finally displaying the fused information. According to the multi-sensor information fusion-based forward collision and lane departure pre-warning device disclosed by the invention, potential risk of collision during running of the vehicle can be found through the radar and the video camera so as to provide warning information for a driver. According to the pre-warning method disclosed by the invention, since a method of visible sensation combined with the radar is adopted, the accuracy rate of prevention of collision and lane departure of the vehicle is fundamentally improved, and the degree of accuracy can be increased by 5-20 percent as proved by experiments.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

The subject matter discloses a multi-sensor endoscope having a dynamic field of view comprising an elongated shaft terminating with a tip section; a maneuvering section connected to the elongated shaft; at least two sensors, wherein at least one sensor is placed behind the tip section, on the maneuvering section; and one or more illuminators located on external surface of the shaft. In some cases, the sensors include a camera. The subject matter also discloses a multi-sensor endoscopy system comprising an endoscope comprising a handle and a controller, such that the maneuvering section is controlled by the controller.

A six degree-of-freedom micro-machined multi-sensor that provides 3-axes of acceleration sensing, and 3-axes of angular rate sensing, in a single multi-sensor device. The six degree-of-freedom multi-sensor device includes a first multi-sensor substructure providing 2-axes of acceleration sensing and 1-axis of angular rate sensing, and a second multi-sensor substructure providing a third axis of acceleration sensing, and second and third axes of angular rate sensing. The first and second multi-sensor substructures are implemented on respective substrates within the six degree-of-freedom multi-sensor device.

Systems and methods are disclosed for establishing a mobile network in which each mobile unit, such as a car, becomes a node able to receive and transmit a wide variety of information, including for example, traffic conditions, vehicle mechanical / electrical status, interactive game playing information, streaming audio and video, email, and voice mail. In one aspect, multi-sensor fusion technology is used to determine the best value of a monitored variable, for example, the real time locations of each mobile unit, that may be communicated to others via the network. In addition, a new method of traffic control using real time traffic positioning and density data is disclosed. Further, methods and systems for enhancing driver safety are disclosed. In another aspect, the system may use a unique secure dynamic link allocation system to improve the information transfer from one node (mobile unit) to another and to other networks, such as the Internet.

The invention provides a multi-sensor system that uses an algorithm based on adaptive filtering to monitor a patient's respiratory rate. The system features a first sensor selected from the following group: i) an impedance pneumography sensor featuring at least two electrodes and a processing circuit configured to measure an impedance pneumography signal; ii) an ECG sensor featuring at least two electrodes and an ECG processing circuit configured to measure an ECG signal; and iii) a PPG sensor featuring a light source, photodetector, and PPG processing circuit configured to measure a PPG signal. Each of these sensors measures a time-dependent signal which is sensitive to respiratory rate and, during operation, is processed to determine an initial respiratory rate value. An adaptive digital filter is determined from the initial respiratory rate. The system features a second sensor (e.g. a digital 3-axis accelerometer) that attaches to the patient's torso and measures an ACC signal indicating movement of the chest or abdomen that is also sensitive to respiratory rate. This second signal is processed with the adaptive filter to determine a final value for respiratory rate.

Portable locators are disclosed for finding and mapping buried objects such as utilities. A articulatable antenna node configuration and the use of Doppler radar and GPS navigation are also disclosed.

A system for counting and identifying a plurality of gaming chips having a programmable RFID device embedded therein. The programmable RFID device having unique authentication data disposed therein. The system includes a tray structure defining a plurality of predetermined chip positions within a multi-dimensional grid. The tray structure is configured to carry the plurality of gaming chips such that each of the plurality of gaming chips are substantially disposed in a corresponding one of the plurality of predetermined chip positions within the multi-dimensional grid. An optical sensing assembly is configured to optically scan each of the plurality of predetermined chip positions to detect the presence of a gaming chip in each of the plurality of predetermined chip positions if present therein and generate a count corresponding to a number of detected gaming chips. An RFID reader assembly is configured to interrogate the plurality of gaming chips disposed in the tray structure and generate a list of authenticated gaming chips, the RFID reader assembly further generating a system status based on a comparison of the list of authenticated gaming chips relative to the number of detected gaming chips counted by the optical sensing assembly.

This invention teaches a quality assurance system for additive manufacturing. This invention teaches a multi-sensor, real-time quality system including sensors, affiliated hardware, and data processing algorithms that are Lagrangian-Eulerian with respect to the reference frames of its associated input measurements. The quality system for Additive Manufacturing is capable of measuring true in-process state variables associated with an additive manufacturing process, i.e. those in-process variables that define a feasible process space within which the process is deemed nominal. The in-process state variables can also be correlated to the part structure or microstructure and can then be useful in identifying particular locations within the part likely to include defects.

A sensor event detection system including a motion capture element with a memory, sensor, microprocessor, first communication interface and another sensor. The sensor captures values associated with an orientation, position, velocity and acceleration of the motion capture element. The first communication interface receives other values associated with a temperature, humidity, wind and elevation, and the other sensor locally captures the other values. The microprocessor collects data that includes sensor values from the sensor, stores the data in the memory, and recognizes an event within the data to determine event data. The microprocessor correlates the data or event data with the other values to determine a false positive event or a type of equipment the motion capture element is coupled with, or a type of activity indicated by the data or event data, and transmits the data or event data associated with the event via the first communication interface.

The invention provides a multi-sensor integrated synchronous control method and a multi-sensor integrated synchronous control system for high-precision time-space data acquisition. The method comprises the following steps of: establishing a time-space reference circuit which provides time reference and space reference; establishing a linear reference coordinate system through the time reference and the space reference, and implementing conversion between the linear reference coordinate system and a geodetic coordinate system; sending an analog control signal to an active synchronous sensor according to the preset parameters to realize synchronous control of the active synchronous sensor; and receiving an external event pulse signal, and responding to the interruption generated by the external event pulse signal to realize synchronous control of a passive synchronous sensor. An active synchronous control circuit and a passive synchronous control circuit are provided; and based on the time and space references provided by the time-space reference circuit, the circuits can expand random multiple sensor synchronous control cases aiming at different sensors and control requirements, and have extremely strong expansion and flexible functions.

The invention discloses a long-distance automatic parking system and method based on multi-sensor fusion. The system comprises a central data processing module, a path planning module, a mapping module, a parking module, a communication module and a control unit. The sensor comprises but is not limited to an IMU, a vehicle-mounted all-round looking camera, an ultrasonic wave radar and a binocular camera. According to the embodiment of the invention, through planning paths for the obtained parking lot map, obstacle information, parking place information and road information within a vehicle running range are judged according to a disparity map obtained by the binocular camera and are fed back to the central data processing module in real time; and after calculation, the central data processing module gives an instruction to the control unit so as to realize long-distance automatic parking of vehicles from entering the parking lot to parking in the parking place.

This invention teaches a multi-sensor quality inference system for additive manufacturing. This invention still further teaches a quality system that is capable of discerning and addressing three quality issues: i) process anomalies, or extreme unpredictable events uncorrelated to process inputs; ii) process variations, or difference between desired process parameters and actual operating conditions; and iii) material structure and properties, or the quality of the resultant material created by the Additive Manufacturing process. This invention further teaches experimental observations of the Additive Manufacturing process made only in a Lagrangian frame of reference. This invention even further teaches the use of the gathered sensor data to evaluate and control additive manufacturing operations in real time.

Athletic performance monitoring systems and methods, many of which utilize, in some manner, global positioning satellite (“GPS”) data, provide data and information to athletes and / or to equipment used by athletes during an athletic event. Such systems and methods may provide route information to athletes and / or their trainers, e.g. for pre-event planning, goal setting, and calibration purposes. Such systems and methods optionally may provide real time information to the athlete while the event takes place, e.g., to assist in reaching the pre-set goals. Additionally, data and information collected by such systems and methods may assist in post-event analysis for athletes and their trainers, e.g., to evaluate past performances and to assist in improving future performances.

Provided a system and method for detecting an event while discriminating against false alarms in a monitored space using at least one sensor suite to acquire signals, transmitting the signals to a sensor system device where the signal is processed into data packets, transmitting the data packets to a data fusion device, where the data packets are aggregated and algorithmic data fusion analysis is performed to generate threat level information. The threat level information is distributed to a supervisory control system where an alarm level can be generated when predetermined criteria are met to indicate the occurrence of an event in the monitored space.

A system and methods for autonomously tracking and simultaneously providing surveillance of a target from air vehicles. In one embodiment the system receives inputs from outside sources, creates tracks, identifies the targets and generates flight plans for unmanned air vehicles (UAVs) and camera controls for surveillance of the targets. The system uses predictive algorithms and aircraft control laws. The system comprises a plurality of modules configured to accomplish these tasks. One embodiment comprises an automatic target recognition (ATR) module configured to receive video information, process the video information, and produce ATR information including target information. The embodiment further comprises a multi-sensor integrator (MSI) module configured to receive the ATR information, an air vehicle state input and a target state input, process the inputs and produce track information for the target. The embodiment further comprises a target module configured to receive the track information, process the track information, and produce predicted future state target information. The embodiment further comprises an ownship module configured to receive the track information, process the track information, and produce predicted future state air vehicle information. The embodiment further comprises a planner module configured to receive the predicted future state target information and the predicted future state air vehicle information and generate travel path information including flight and camera steering commands for the air vehicle.

The invention discloses an automatic driving system based on enhanced learning and multi-sensor fusion. The system comprises a perception system, a control system and an execution system. The perception system high-efficiently processes a laser radar, a camera and a GPS navigator through a deep learning network so as to realize real time identification and understanding of vehicles, pedestrians, lane lines, traffic signs and signal lamps surrounding a running vehicle. Through an enhanced learning technology, the laser radar and a panorama image are matched and fused so as to form a real-time three-dimensional streetscape map and determination of a driving area. The GPS navigator is combined to realize real-time navigation. The control system adopts an enhanced learning network to process information collected by the perception system, and the people, vehicles and objects of the surrounding vehicles are predicted. According to vehicle body state data, the records of driver actions are paired, a current optimal action selection is made, and the execution system is used to complete execution motion. In the invention, laser radar data and a video are fused, and driving area identification and destination path optimal programming are performed.

An approach for multi-sensor multi-factor identity verification. An identity verification platform determines biometric data associated with a user from one or more sources. The one or more sources are associated with one or more respective network sessions. The platform generates one or more respective trust scores for the one or more sources, the one or more respective network sessions, or a combination thereof based on one or more contextual parameters associated with the user, the one or more sources, the one or more respective network sessions, or a combination thereof. Then the platform verifies an identity of the user based on the biometric data and the one or more respective trust scores.