Abstract: A shoe accessory system and methods can include: an accessory connector having a male accessory mount and a female accessory mount: the male accessory mount including a base, a protrusion mounted above the base, an outwardly protruding lip extending from the protrusion, the outwardly protruding lip having a slope extending down toward an abutment, and the female accessory mount having inwardly extending flanges, the inwardly extending flanges extend in toward a center of the female accessory mount, the inwardly extending flanges spaced apart allowing the protrusion to fit therebetween; a shoe affixed to the male accessory mount; and an accessory affixable to the female accessory mount for allowing the accessory to be placed over the male accessory mount, pressed down, and twisted to lock the accessory onto the shoe.

Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.

Abstract: A transport service system determines the accuracy of a map matched trajectory using a forward probability algorithm. A transport vehicle on a trip relays location data to the system. The system uses a map of the corresponding area and the location data to calculate an emission probability, the likelihood of a candidate road being associated with a location data point, and a transition probability, the likelihood of a second state occurring after a first state. The joint probability of the emission and transition probabilities is used to determine a total number of zero forward probability occurrences and an average forward probability associated with the trip. These metrics are used to measure the accuracy of the map matching algorithm for the trip.

Abstract: Method of slowly moving target detection with application for coastal surveillance radars. This method improves the well know other methods and efficiently detects targets with a high accuracy. The proposed method consists of three steps that are: step of generation and processing of signals with complex modulation; step of target clustering and step of detection of slowly moving targets in clutter environments.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a predicted trajectory of the object.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.

Abstract: A map server receives geographic points from a location tracking device located in a vehicle. The received geographic points describe a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The map server identifies candidate geographic points for each received geographic point where each candidate geographic point is associated with a location on a known roadway. The map server determines a graph of the candidate geographic points and identifies different sub-graphs from the graph. The map server iteratively evaluates the sub-graphs to determine a shortest path from the starting location to the destination location without evaluating all the edges in the sub-graphs.

Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.

Abstract: A transport facilitation system can receive current location data from driver devices of drivers operating throughout a given region. The system can further receive a pick-up request from a user device of a requesting user within the given region, the pick-up request including pick-up location data. The system can determine a plurality of candidate drivers to service the pick-up request based, at least in part, on the pick-up location data and current location data of the candidate drivers. The system can predict a future location for each of the candidate drivers and select a first driver from the candidate drivers to service the pick-up request based on the predicted future locations. The system may then transmit a transport invitation to the first driver to service the pick-up request.

Abstract: Disclosed is a method for the detection of more than one signals contained in a receive signal, the method comprising: down-converting the receive signal, thereby providing a down-converted signal in a complex IQ base band; at least partially cancelling the strongest user in the down-converted signal, thereby allowing for the detection of a possible secondary user.

Abstract: A method for performing a coiled-tubing process, the method having the steps: performing a coiled-tubing process using a fluid-lubricant composition that includes a sulfur-containing compound, and introducing the fluid-lubricant composition into a subterranean wellbore casing.

Abstract: A tracking server receives GPS data from a location tracking device located in a vehicle. The GPS data describes a path that is representative of a pathway of the vehicle used to complete a trip from a starting location to a destination location. The tracking server identifies noisy GPS data included in the received GPS data and revises a portion of path corresponding to the noisy GPS data. The tracking server may update a map database to include one or more road segments associated with the revised portion of the path. Furthermore, the tracking server may calculate a fare for the trip based on the revised path.

Abstract: A lubricant composition having the non-water reaction products produced by a process having the step of reacting the following-three reactants in a condensation reaction: i) oleic acid, ii) triethanolamine, and iii) a polyol selected from the group consisting of pentaerythritol and trimethylolpropane.

Abstract: The present disclosure provides methods and systems for implementing plug and play (PnP) support for a peripheral point of sale (POS) device. In an example of a method, a PnP control interface is installed above a universal point of sale (UPOS) software interface. A disconnection of a peripheral POS device is detected and a UPOS software state for the peripheral POS device is stored. The PnP control interface is used to perform finalization method on a list of active peripheral POS devices in a Logical Device Name (LDN) library and an outstanding process for the peripheral POS device is terminated.

Abstract: A composition having a three-component blend, wherein the first component is a sulfurized additive; wherein the second component is an oleic-acid ester or tall-oil fatty-acid ester; and wherein the third component includes an ethoxylated fatty ester.