Abstract: A system to augment the collected odometer data points with more precise location data which provides an indication of a location of a vehicle associated with the odometer at a given time, such as Global Positioning System (GPS) GPS data points. Additionally, the GPS data points may be collected at a higher sampling rate than the odometer data points, thus providing a more precise indication of a distance traveled by a vehicle at any given time.

Abstract: The present application discloses a geomagnetism-based launching method, a launching device and a dispenser, and relates to the technical field of unmanned aerial vehicle (UAV). The launching method includes the following steps: obtaining the geomagnetic triaxial data at the current time according to a preset heartbeat time; calculating the corrected geomagnetic triaxial data according to the geomagnetic triaxial data at the current moment; calculating an angle value based on the corrected geomagnetic triaxial data, and storing the angle value in the pre-established system data set; the system data set is a set of angle values stored in an iterative coverage method with a fixed length; obtaining the updated system data set by using the Fourier transform algorithm to perform dithering operation on all angle values in the system data set, calculating the accumulated angle difference value of the updated system data set in a preset time period.

Abstract: The present disclosure provides a vehicle positioning method, an apparatus and an autonomous driving vehicle, relating to autonomous driving in the technical field of artificial intelligence, which can be applied to high-definition positioning of the autonomous driving vehicle, the method including: if there is no high-definition map in a vehicle, acquiring intermediate pose information of the vehicle based on a global navigation satellite system and/or an inertial measurement unit in the vehicle, and determining the intermediate pose information as global positioning information; acquiring local positioning information; performing fusion processing to the global pose information and the local pose information to obtain fused pose information; performing compensation processing to the fused pose information according to the global attitude angle information and the local attitude angle information to obtain a position of the vehicle.

Abstract: Constructing an estimated orientation of the vehicle from a previous position and a previous orientation of the vehicle, then correcting this estimated orientation to obtain a first corrected orientation containing a corrected yaw angle of the vehicle, obtaining a measurement of the yaw angle of the vehicle, then replacing, in the first corrected orientation, the corrected yaw angle with the measured yaw angle, to obtain a second corrected orientation, then delivering the corrected second orientation by way of orientation determined for the vehicle and using, in the next execution of the constructing step, the corrected second orientation by way of previous orientation.

Abstract: Position enhancement for vehicle positioning is provided. Vehicle-to-everything (V2X) messages are received from a roadside unit (RSU) to an onboard unit (OBU) of a vehicle via a transceiver of the vehicle, the V2X messages indicating a location of the RSU. Image sensors of the vehicle are utilized to capture sensor data of the RSU. A current position of the vehicle is updated to a corrected current position of the vehicle based the RSU as shown in the sensor data and the location of the RSU indicated in the V2X messages.

Abstract: Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding road portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

Abstract: Aspects of the disclosure provide for determining a network configuration. For instance, a system may include a controller including one or more processors. The one or more processors may be configured to receive information from each of a plurality of available nodes within a network, the plurality of available nodes including at least one aerial vehicle; determine a plurality of constraints for a future point in time, each one of the plurality of constraints including one or more minimum service requirements for a geographic area; attempt to determine a first network configuration for each of the plurality of available nodes that satisfies all of the constraints; when unable to determine the first network configuration, determine a second network configuration for the plurality of available nodes and at least one additional ground-based node that satisfies all of the constraints; and send instructions in order to affect the second network configuration.

Abstract: Systems and methods for estimating attitude and heading are provided. The systems and methods utilize carrier phase single difference (CSD) measurements or carrier phase double difference (CDD) measurements and a validation test for CSD or CDD measurement residuals. The systems and methods include applying a wrapping function with limit of ±half of the GNSS carrier signal wavelength to CSD or CDD measurement residuals to generate refined CSD or CDD measurement residuals and validating the refined CSD or CDD measurement residuals variance to determine valid CSD or CDD measurements. By using the validated CSD and CDD measurements, the systems and methods enable low grade hybrid inertial navigation systems to estimate attitude and heading with integrity and without a magnetometer or the need for integer ambiguity resolution even during the static or steady phases of flight/operation.

Abstract: In some embodiments an apparatus includes a wireless sensor configured to be operatively coupled to a network gateway device that is configured to receive one of a first data packet or a second packet from the wireless sensor. The wireless sensor is configured to send the first data packet at a first time on a first frequency, the first data packet including a payload associated with a value of a measurement that was measured by the wireless sensor. The wireless sensor is configured to send the second data packet at a second time on a second frequency, the second data packet includes a payload associated with the value.

Abstract: A system and method that can automatically select a frequency of a magnetic field in a magnetic tracking system. A magnetic tracking system emits an alternating magnetic field using a set of three frequencies. In the present approach, a transmitter is capable of generating multiple sets of three frequencies. A processor selects a first set of frequencies to use and causes the receiver to measure the amplitude of the magnetic field at those frequencies. In one embodiment, the frequency set having the lowest energy is selected. The processor then compares an estimated jitter at those frequencies to the actual jitter experienced using the frequencies. If the actual jitter exceeds the estimated jitter by a predetermined amount, the processor switches to a different set of frequencies and causes the receiver to measure the magnetic field at the new set of frequencies. The process may repeat using the additional sets of frequencies.

Abstract: In another embodiment, a hip joint navigation jig is provided that includes an anatomical interface comprising a bone engagement portion. A registration jig is also provided that is coupled, e.g., removeably, with the anatomical interface. A rotatable member is provided for rotation about an axis that is not vertical when the jig is mounted to the bone adjacent to a hip joint and the registration jig is coupled with the anatomical interface. An anatomy engaging probe is coupled with the rotatable member for rotation about the axis and is translatable to enable the probe to be brought into contact with a plurality of anatomical landmarks during a procedure. An inertial sensor is coupled with the probe to indicate orientation related to the landmarks, the sensor being disposed in a different orientation relative to horizontal when the probe is in contact with the landmarks.

Abstract: Provided is a vehicle sensor mounting structure by which a GNSS antenna and at least one external sensor are mounted on a roof of a vehicle, the at least one external sensor being configured to detect an external state of the vehicle. The vehicle sensor mounting structure includes: a first wiring hole into which a sensor wiring line of the at least one external sensor is drawn to be placed under the roof, the first wiring hole being formed in the roof; and a second wiring hole into which an antenna wiring line of the GNSS antenna is drawn to be placed under the roof, the second wiring hole being formed in the roof.

Abstract: A validation device in a communication network is configured to communicate control information bidirectionally via a control plane of the network and access message data via a production plane of the network. The validation device receives key data via the control plane, and accesses a message received via the production plane by a message receiving device. The message includes a signature derived from the first key data. The validation device uses the first key data to check validity of the signature.

Abstract: The present invention relates to a method for calibrating a gyrometer equipping a vehicle. The method includes a step (a) of acquisition, by the gyrometer, of a measured angular velocity of the vehicle, and, by measuring measured values of at least one quantity representative of the angular velocity of the vehicle. It also includes a step (b) of determination, by a data processor, of values of at least one gyrometer calibration parameter minimising a difference between a first estimated angular velocity of the vehicle and a second estimated angular velocity of the vehicle, wherein the first estimated angular velocity is a function of the measured angular velocity and parameters for calibrating the gyrometer, and the second estimated angular velocity is a function of the measured values of said at least one quantity representative of the angular velocity of the vehicle.

Abstract: Methods, systems, and devices for wireless communications are described. A first device, such as a user equipment (UE) or base station, may receive, at a first antenna of a first antenna array, a first set of reference signals. The first device may measure the phase for each of the reference signals and estimate a linear offset between the first antenna array and a second antenna array of a second device that transmitted the reference signals. The first device may adjust an alignment of the first antenna array according to the estimated linear offset. The first device may receive a second set of reference signals, measure the phase for each of the reference signals, and estimate one or more rotational offsets between the first antenna array and the second antenna array. The first device may adjust the alignment of the first antenna array based on the one or more rotational offsets.

Abstract: Disclosed is a method for determining a position of a motor vehicle by means of a location device of the motor vehicle. First, a first position (x1) related to an installation point of the location device in the motor vehicle is determined. In order to determine a position suitable for controlling the motor vehicle, with reference to the said first position (x1) a second position (x2) related to a center of gravity of the vehicle is determined, in that the first position (x1) is offset by a distance (a) between the said installation point of the location device and the center of gravity of the vehicle.

Abstract: The disclosure relates to methods for a communication between a sensor and a satellite, and sensors for carrying out such a method. The sensor has a transmission unit for transmitting sensor data from the sensor to the satellite and a computing unit for calculating the position of the satellite at a specified point in time. The satellite is configured to receive and forward the sensor data. The method includes calculating a coverage duration using path parameters of the satellite and the position of the sensor, activating the transmission unit of the sensor during a transmission duration based on the calculated coverage duration, and transmitting the sensor data from the sensor to the satellite during the transmission duration.

Abstract: A satellite for implementing a protocol associated with a distributed satellite position verification system is provided. The satellite, on implementing the protocol, verifies records of positions of one or more other satellites in the distributed satellite position verification system. According to the protocol, the satellite performs, at different time instances, a first operation, a second operation, or a third operation to act as a first satellite, a second satellite, or a third satellite, respectively in the distributed satellite position verification system. When the first satellites performs the first operation, the first satellite verifies at least some positions in the records of positions of the second satellite such that the first satellite: determines a verified position of the second satellite; calculates a deviation between the verified position and a prior estimated position of the second satellite; and records the verified position into the records, based on the calculated deviation.

Abstract: A system for iteratively matching a plurality of spatiotemporal trajectories of a plurality of users is provided. The system comprises at least one processor, being configured for: receiving a plurality of first spatiotemporal trajectories and a plurality of second spatiotemporal trajectories each generated based on location data.

Abstract: Example systems and methods are disclosed for determining vehicle pose data for an autonomous vehicle. The vehicle computer system may receive pose data from multiple pose measurement systems of the autonomous vehicle. Each pose measurement system may include one or more corresponding sensors of the autonomous vehicle. The vehicle computer system may determine a pose data quality for the received pose data for each pose measurement system. The vehicle computer system may set the vehicle pose data to the pose data of the pose measurement system with the highest pose data quality. The vehicle computer system may control the autonomous vehicle based on the vehicle pose data.

Abstract: Techniques for integrating a travel control system and attitude and heading (AHR) system in a vehicle are disclosed. The integrated system includes interface circuitry that enables data communication between constituent travel control system and AHR system of the integrated system, and can further communicate data between the travel control system and/or the AHR system and other system(s) or device(s) in or on the vehicle. In some embodiments, the travel control system includes processing circuitry that is fault tolerant. Alternatively, or additionally, the AHR system may include processing circuitry that has a processing power greater than the travel control system processing circuitry.

Abstract: A system for providing manual guidance of a vehicle includes a first inertial measurement unit (IMU) attached to a steering wheel, a second IMU attached to a fixed part of the vehicle, a global navigation satellite systems (GNSS) receiver, a data storage device for storing a pre-planned path, and a feedback module. The feedback module is configured to determine a current angle of the steering wheel, determine a deviation of the current position of the vehicle from the pre-planned path, determine a current heading of the vehicle, determine a current velocity of the vehicle, and determine a desired angle of the steering wheel relative to the vehicle. The system further includes a user interface configured to provide a visual indication of the desired angle of the steering wheel or a deviation of the current angle of the steering wheel from the desired angle of the steering wheel.

Abstract: An system and/or method for detecting outliers in satellite observations can include: receiving satellite observations associated with one or more satellite constellations; receiving sensor data; determining a GNSS positioning solution using a filter to process the satellite observations; determining a fused positioning solution; detecting whether outliers are present in the satellite observations; and when outliers are detected, updating the GNSS positioning solution and/or the fused positioning solution using a set of outlier mitigated satellite observations.

Abstract: An approach is provided for detecting lane departure events based on map data and probe data. The approach, for example, involves map-matching probe data to a lane of a road segment. The probe data is collected from one or more sensors of at least one vehicle and/or at least one user device that traversed the road segment. The approach also involves processing the probe data to detect at least one lane departure event. The approach further involves categorizing the at least one lane departure event as an intentional lane departure event or an unintentional lane departure event. The approach further involves creating a lane departure warning message for the road segment based on the at least one categorized lane departure event, and/or road segments associated with multiple lane departure warning messages within a certain time period. The approach further involves providing the lane departure warning message as an output.

Abstract: A non-transitory computer-readable medium and apparatus for restoring navigational performance for a navigational system. The apparatus including a receiver for receiving by a first navigational system and a second navigational system a collection of data points to establish a real-time navigational route for the aircraft, and a computer for comparing navigational performance values or drift ranges. The computer capable of establishing a new navigational route based on the collection of data points.

Abstract: A method of automatically moving, by an automatic location placement system, a marine vessel includes receiving, by a central processing unit, from a vision ranging photography system, at least one optical feed including data providing a mapping of an environment surrounding a marine vessel. The method includes displaying, by the central processing unit, on a touch screen monitor, the mapping of the environment. The method includes receiving, by the central processing unit, from the touch screen monitor, target location data. The method includes directing, by the central processing unit, at least one element of a propulsion system of the marine vessel, to move the marine vessel to the targeted location, using the mapping.

Abstract: An apparatus for generating a map includes a processor configured to detect a stop line of an intersection from a bird's-eye view image, detect from the bird's-eye view image an intersection area including an intersection and roads connected to the intersection, detect at least either one of an entry lane for entering the intersection and an exit lane for exiting the intersection in a road from which the stop line is extracted, of the roads, based on the ratio of the length of the stop line to the width of the road, and generate a lane network representing a connection relationship between lanes in the intersection so as to connect, for each of the roads, the entry lane of the road to the exit lane of another of the roads to which a vehicle is allowed to proceed from the entry lane of the road.

Abstract: One or more instances of sensor data collected using an autonomous vehicle sensor suite can be labeled using corresponding instance(s) of sensor data collected using an additional sensor suite. The additional vehicle can include a second autonomous vehicle as well as a non-autonomous vehicle mounted with a removable hardware pod. In many implementations, an object in the sensor data captured using the autonomous vehicle can be labeled by mapping a label corresponding to the same object captured using the additional vehicle. In various implementations, labeled instances of sensor data can be utilized to train a machine learning model to generate one or more control signals for autonomous vehicle control.

Abstract: A detection system detects malfunctions in an autonomous farming vehicle during an autonomous routine using one or more models and data from sensors coupled to the autonomous farming vehicle. The models may include machine-learned models trained on the sensor data and configured to identify objects indicative of an operational or malfunctioning component within a tilling assembly such as a tilling shank or sweep. Additionally, a machine-learned model may be trained on sensor data to detect whether debris has plugged the tilling assembly of the autonomous farming vehicle. In response to detecting a malfunction or a plug, the detection system may modify the autonomous routine (e.g., pausing operation) or provide information for the malfunction to be addressed (e.g., the likely location of a malfunctioning sweep that has detached from the tilling assembly).

Abstract: An expression feedback method and a smart robot, belonging to smart devices. The method comprises: step S1, a smart robot using an image collection apparatus to collect image information; step S2, the smart robot detecting whether human face information representing a human face exists in the image information; if so, acquiring position information and size information associated with the human face information, and then turning to step S3; and if not, returning to step S1; step S3, according to the position information and the size information, obtaining, by prediction, a plurality of pieces of feature point information in the human face information and outputting same; and step S4, using a first identification model formed through pre-training, determining whether the human face information represents a smiling face according to the feature point information, and then exiting from this step; if so, the smart robot outputting preset expression feedback information; and if not, exiting from this step.

Abstract: Techniques are provided for vision-based altitude estimation using one or more platform mounted cameras. An embodiment includes generating projected ground imagery of imagery provided by cameras of the platform, the projection based on a hypothesized altitude. The method also includes obtaining reference ground imagery based on the location of the platform, the location based on platform navigation data. The method further includes registering the projected ground imagery to the reference ground imagery and generating a match score associated with the registration. The method further includes selecting the hypothesized altitude as the estimated altitude based on the match score (e.g., if the match score exceeds a threshold value or is maximized over a set of hypothesized altitudes.

Abstract: A method for estimating the location of a target user equipment (UE) using a positioning system comprising a set of N positioning reference nodes (PRNs). The method includes determining, from the set of N PRNs, a particular subset of PRNs that minimizes or maximizes an objective function, wherein the objective function is a function that is adapted to map information about a given subset of the N PRNs to an error value indicating a positioning error of the target UE. The method also includes using the determined particular subset of PRNs to estimate the location of the target UE.

Abstract: A positioning method, apparatus, device, and a computer storage medium are provided. The method includes: obtaining update information of an object, the update information including GPS positioning information and dead reckoning position information, the dead reckoning position information being determined according to attitude change information of the object measured by an inertial measurement unit (IMU); determining a fusion positioning model matching the update information, the fusion positioning model being used for performing fusion positioning using the update information; determining error information of the update information, the error information indicating error conditions of the update information; and performing the fusion positioning on the GPS positioning information and the dead reckoning position information of the update information according to the fusion positioning model with the error information to obtain a current position of the object.

Abstract: Provided is a navigation board, a multi-source data fusion method for a navigation board and a transporter. The navigation board includes a printed circuit board, a global navigation satellite system module, an inertial sensor, a processor, and a data interface; the processor is configured to execute a large misalignment angle initialization algorithm, an inertial strapdown solution algorithm, and a multi-source data fusion solution; and a size of the navigation board is smaller than or equal to a size of a standard GNSS board, and the navigation board at least includes the same data interface as a data interface of the standard GNSS board.

Abstract: A method of automatically moving, by an automatic location placement system, a marine vessel includes receiving, by a central processing unit, from a vision ranging photography system, at least one optical feed including data providing a mapping of an environment surrounding a marine vessel. The method includes displaying, by the central processing unit, on a touch screen monitor, the mapping of the environment. The method includes receiving, by the central processing unit, from the touch screen monitor, target location data. The method includes directing, by the central processing unit, at least one element of a propulsion system of the marine vessel, to move the marine vessel to the targeted location, using the mapping.

Abstract: A method of automatically moving, by an automatic location placement system, a marine vessel includes receiving, by a central processing unit, from a vision ranging photography system, at least one optical feed including data providing a mapping of an environment surrounding a marine vessel. The method includes displaying, by the central processing unit, on a touch screen monitor, the mapping of the environment. The method includes receiving, by the central processing unit, from the touch screen monitor, target location data. The method includes directing, by the central processing unit, at least one element of a propulsion system of the marine vessel, to move the marine vessel to the targeted location, using the mapping.

Abstract: A power system stability monitoring device comprising: a simple stability calculation unit that calculates the angular velocity and internal phase angle of a generator in each fault case based on fault conditions and the system configuration of the power system; a severity indicator calculation unit that calculates a severity indicator that represents the degree of system instability based on the angular velocity and internal phase angle; a PCS power supply severe parallel-off condition extracting unit that calculates a PCS power supply parallel-off severity indicator based on a parallel-off sensitivity indicator representing a degree of influence of PCS power supply parallel-off on the degree of instability and the severity indicator, and that extracts fault cases where the parallel-off severity indicator exceeds a prescribed threshold; and a detailed stability calculation unit that performs a detailed stability calculation for each extracted fault case based on the severity indicator or parallel-off severit

Abstract: A terminal in a self-position sharing system that is installed in a vehicle and is capable of communicating with the vehicle includes a measurement device that measures a self-position of the terminal. Further, the vehicle in the self-position sharing system includes: a processor configured to estimate a self-position of the vehicle with measurement accuracy higher than that of the terminal at a predetermined period, determine whether or not measurement accuracy of a self-position by the terminal decreases, set a notification frequency of notifying the terminal of an estimated self-position of the vehicle to a first frequency when the measurement accuracy does not decrease, set the notification frequency to a second frequency higher than the first frequency when the measurement accuracy decreases; and notify the terminal of an estimated self-position of the vehicle with the set notification frequency.

Abstract: A flight emulation system receives global positioning system (GPS) data into one or more EGIs (embedded GPS/inertial navigation system (INS)) or GPS receivers from a GPS emulator. The GPS data are based on a pre-defined flight trajectory plan of an aircraft. The system calculates real-time positional, orientational, and inertial emulation data using outputs of the EGIs or GPS receivers and platform-specific, flight dynamics data, and then transmits the real-time positional, orientational, and inertial emulation data to one or more subsystems associated with the aircraft for use by operations of the one or more subsystems.

Abstract: A mobile device in a moving vehicle initializes a Global Navigation Satellite System (GNSS)-Inertial Navigation System (INS) system while the vehicle is in-motion with the orientation of the mobile device with respect to a global reference frame. The mobile device uses gyroscope measurements made while the vehicle is turning to determine a gravity vector. The gravity vector and accelerometer measurements may be used to determine a forward vector for the mobile device. A north vector is determined using the GNSS measurements. After the GNSS-INS system is calibrated, the mobile device may be positioned with respect to the vehicle. The orientation of the mobile device, prior to repositioning, may be compared to a current orientation, determined while the vehicle is in motion, in order to determine whether the GNSS-INS system should be re-initialized.

Abstract: A method and system for estimating surface roughness of a ground for an off-road vehicle to control ground speed comprises detecting motion data of an off-road vehicle traversing a field or work site during a sampling interval. A pitch sensor is adapted to detect pitch data of the off-road vehicle for the sampling interval to obtain a pitch acceleration. A roll sensor is adapted to detect roll data of the off-road vehicle for the sampling interval to obtain a roll acceleration. An electronic data processor or surface roughness index module determines or estimates a surface roughness index based on the detected motion data, pitch data and roll data for the sampling interval. The surface roughness index can be displayed on the graphical display to a user or operator of the vehicle, or applied to control or execute a ground speed setting of the vehicle.

Abstract: A device including microelectromechanical systems (MEMS) sensors are used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a forward axis of a sensor frame of the device and a forward axis of a vehicle frame using the data received from the MEMS sensors, the device can accurately calculate the location of a user or the vehicle of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of the user riding in the vehicle in GPS/GNSS signals absent environment can be provided.

Abstract: Example methods and apparatus for determining a timing advance are described. One example method includes obtaining ephemeris information of a satellite, where the ephemeris information includes coordinates of the satellite and an ephemeris error of the satellite. A timing advance is determined according to a preset rule based on the ephemeris information and location information of a terminal device, where the location information includes coordinates of the terminal device and a positioning error of the terminal device. The preset rule is determined by using a first horizontal distance, a first vertical distance, the ephemeris error, and the positioning error.

Abstract: A method for synchronizing wireless network nodes of a wireless communication network involves a base station of the wireless communication network to determine or obtain a maximum value for a frequency content per unit of time of an FMCW radio-frequency signal interfering with the wireless communication network, transmit a first synchronization frame containing a first synchronization sequence in a first wireless communication frequency bandwidth, and transmit a second synchronization frame simultaneously to the first synchronization frame, the second synchronization frame containing a second synchronization sequence in a second wireless communication frequency bandwidth that is spaced apart from the first wireless communication frequency bandwidth by a spectral distance larger or equal to the product of the determined maximum value for the frequency content per unit of time of the FMCW radio-frequency signal and duration of the first and second synchronization sequences.

Abstract: Systems and methods are provided for using sensors and signal processing to detect vehicle surface impacts. In particular, a sensor and signal processing approach is provided for detecting impacts, with the results having a low false positive rate. The approach reduces operator costs by reducing operator involvement through improved automated detection technology. Additionally, systems and methods are provided for distinguishing chassis-driven fascia vibration from impact-driven fascia vibration.

Abstract: The present application discloses a method and apparatus for determining a route, a device and a computer storage medium, and relates to the field of big data.

Abstract: A thermal regulation system includes a sensor, one or more temperature adjusting devices, and a filler provided in a space between the sensor and at least one of the one or more temperature adjusting devices. The one or more temperature adjusting devices are (1) in thermal communication with the sensor, and (2) configured to adjust a temperature of the sensor from an initial temperature to a predetermined temperature at a rate of temperature change that meets or exceeds a threshold value.

Abstract: According to one example there is provided a method comprising selecting a first location from a set of locations and analysing, by a processor, data collected from a first vehicle located within a first distance of the first location. A first value representative of a first performance parameter of the first vehicle is generated. A second value representative of a second performance parameter of the first vehicle is generated. At least one of the first and second values is compared with a first threshold and, when one of the first and second values is greater than the first threshold, a safety alert is issued greater than (in some examples, less than).

Abstract: A system and method that can automatically select a frequency of a magnetic field in a magnetic tracking system. A magnetic tracking system emits an alternating magnetic field using a set of three frequencies. In the present approach, a transmitter is capable of generating multiple sets of three frequencies. A processor selects a first set of frequencies to use and causes the receiver to measure the amplitude of the magnetic field at those frequencies. In one embodiment, the frequency set having the lowest energy is selected. The processor then compares an estimated jitter at those frequencies to the actual jitter experienced using the frequencies. If the actual jitter exceeds the estimated jitter by a predetermined amount, the processor switches to a different set of frequencies and causes the receiver to measure the magnetic field at the new set of frequencies. The process may repeat using the additional sets of frequencies.

Abstract: A method for disseminating corrections can include receiving a set of satellite observations at a GNSS receiver; transmitting the corrections to the GNSS receiver, wherein the corrections; and determining a position of the GNSS receiver, wherein the set of satellite observations are corrected using the corrections. A system for disseminating corrections can include a positioning engine operating on a computing system collocated with a GNSS antenna; and a corrections generator operating on a computing system remote from the GNSS antenna, wherein the corrections generator is configured to transmit corrections to the positioning engine, wherein the positioning engine is configured to determine a high accuracy position of the GNSS antenna using the corrections, wherein the corrections are rebroadcast to the positioning engine with a time period less than an update time period for changing the corrections.