Abstract: A gas spring-powered fastener driver includes a first chamber, and a movable piston positioned within the first chamber. The fastener driver also includes a driver blade attached to the piston and movable therewith between a ready position and a driven position. The fastener driver further includes a second chamber containing pressurized gas. The second chamber is in fluid communication with the first chamber via a flow passage. The fastener driver also includes a throttle mechanism configured to throttle flow of the pressurized gas through the flow passage.

Abstract: Disclosed herein are systems, methods, and apparatuses for calibrating sensors of automated vehicles using calibration targets. A bracket holds the calibration targets and attaches to the automated vehicle proximate to a sensor being calibrated. For some sensors, such as GNSS antennas or similar device for receiving location data from a GNSS, a two-target bracket is fixed at the top of the automated vehicle, nearby the GNSS antenna. For IMUs or similar sensors, a three-target bracket is fixed at location of the automated vehicle proximate to the particular IMU, such as a passenger cabin or on the chassis of the automated vehicle. The calibration targets include a retroreflective surface that reflect signals, such as infrared signals, back to a theodolite (or total station). The theodolite or computer includes preprogrammed offset values indicating the relative positions of the sensor being calibrated and each of the calibration targets of the bracket.

Abstract: Provided is a precision metering and delivery apparatus and method of use for the precise distribution of viable pollen in diluent or other particulate material via metering and delivery of said pollen or other particulate material, said precision metering apparatus comprising a metering apparatus, a delivery system, and a storage device. Apparatuses of the present invention ensure that the pollen or other particulate material is not harmed during the delivery and that the pollen is applied in the correct density or amount.

Abstract: Various devices, systems, methods, and apparatuses utilize mechanical assemblies to prevent, detect, and/or mitigate objects from entering or moving close to or under a treadmill or exercise machine. In some embodiments, a guard, or guard assembly, is attached or otherwise fixed to a rear area of a treadmill. The guard assembly may include an end cap and pivoting guard configured to be retrofit to existing treadmills, such as to a rear end or area of a deck or frame of a treadmill.

Abstract: A method is provided for managing a gas delivery device by a server. The method includes receiving a request to provision a serial number of a PCB from a manufacturing application executing at a manufacturer; providing the serial number and a test firmware to the manufacturer; providing a product firmware to the manufacturing application for installation into the gas delivery device; receiving encrypted data from a gas delivery gateway that is configured to receive performance information from the gas delivery device; decrypting the encrypted data to yield the performance information and storing the performance information in a historical repository; receiving one or more actions that are performed at a servicing application; logging each of the one or more actions in the historical repository; and providing at least one token or data to the servicing application for each of the one or more actions.

Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor comprising a machine vision system in electronic communication with the at least a processor, wherein the machine vision system is configured to identify at least one object within optical data. At least a processor is configured to determine a procedural performance parameter as a function of optical data wherein determining the procedural performance parameter comprises classifying the at least one object within optical data to an optical data category using an optical data classifier. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: A physiologically stable fluorophore includes a terminal moiety including a terminal reactive site that reacts with a reactive group of a substrate; a stability linker covalently bonded to the terminal moiety; and a bridge moiety covalently bonded to the stability linker such that the stability linker is interposed through chemical bonds between the bridge moiety and the terminal moiety; and a fluorescent moiety covalently bonded to the bridge moiety of the redox moiety and including: an electron bandgap mediator that is covalently bonded to the bridge moiety; a coordinate center covalently bonded to the electron bandgap mediator and that forms a Zwitterionic member with an atom in the electron bandgap mediator; and a steric hinder bonded to the electron bandgap mediator to provide steric hindrance for protection of the coordinate center.

Abstract: A method includes: determining, based, at least in part, on a predicted driver characteristic, a first energy-versus-distance measure for a planned driving route of a vehicle, the first energy-versus-distance measure determined using an energy model; presenting the first energy-versus-distance measure on a user interface associated with the vehicle; identifying an already-driven part of the planned driving route; determining, based on information associated with the already-driven part of the planned driving route, a model error associated with the energy model; determining a second energy-versus-distance measure by modifying the first energy-versus-distance measure to account for the model error; and presenting the second energy-versus-distance measure on the user interface associated with the vehicle.

Abstract: Techniques are disclosed for evaluating digital map quality. A process includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to ways to determine a data collection surveillance cadence. In some aspects, a process of the disclosed technology includes steps for receiving historic map data for one or more geographic regions, wherein each of the one or more geographic regions comprises one or more map features, calculating a change rate for each of the one or more map features, and determining a surveillance cadence for each of the one or more geographic regions based on the change rate for each of the one or more map features. Systems and machine-readable media are also provided.

Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor in electronic communication with the at least a processor. At least a processor is configured to determine a procedural performance parameter as a function of optical data. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: In an aspect, an apparatus for procedural training is presented. An apparatus includes at least a processor and a memory communicatively connected to at least a processor. A memory contains instructions configuring at least a processor to receive optical data from a sensor in electronic communication with the at least a processor. At least a processor is configured to determine a procedural performance parameter as a function of optical data. At least a processor is configured to compare a procedural performance parameter to a procedural performance threshold. At least a processor is configured to display procedural training feedback through a display unit as a function of a comparison.

Abstract: A method includes: determining, based, at least in part, on a predicted driver characteristic, a first energy-versus-distance measure for a planned driving route of a vehicle, the first energy-versus-distance measure determined using an energy model; presenting the first energy-versus-distance measure on a user interface associated with the vehicle; identifying an already-driven part of the planned driving route; determining, based on information associated with the already-driven part of the planned driving route, a model error associated with the energy model; determining a second energy-versus-distance measure by modifying the first energy-versus-distance measure to account for the model error; and presenting the second energy-versus-distance measure on the user interface associated with the vehicle.

Abstract: Systems, methods, and devices are disclosed for mapping historical information about behaviors of objects (vehicles, bicycles, pedestrians, etc.) at a location. Based on the mapped historical information, a prediction is determined about a behavior of an object proximate to an autonomous vehicle at the location, where the prediction is based on a statistical analysis of the historical information that is applied to the object. One or more behaviors of the AV are affected based on the prediction.

Abstract: The subject disclosure relates techniques for evaluating map quality. In some aspects, a process of the disclosed technology includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: Systems, methods, and devices are disclosed for mapping historical information about behaviors of objects (vehicles, bicycles, pedestrians, etc.) at a location. Based on the mapped historical information, a prediction is determined about a behavior of an object proximate to an autonomous vehicle at the location, where the prediction is based on a statistical analysis of the historical information that is applied to the object. One or more behaviors of the AV are affected based on the prediction.

Abstract: Techniques are disclosed for evaluating digital map quality. A process includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates techniques for evaluating map change signals. In some aspects, a process of the disclosed technology includes steps for receiving, at a change detection system, a plurality of change detection signals, wherein each of the change detection signals provides information regarding changes to at least one map feature on a digital map, determining, a relevance value for each of the change detection signals, and prioritizing each of the plurality of change detection signals based on the relevance value for each of the change detection signals. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates techniques for evaluating map quality. In some aspects, a process of the disclosed technology includes steps for receiving change data indicating one or more feature discrepancies associated with one or more geographic regions of a digital map, analyzing the change data to determine which of the one or more feature discrepancies resulted in verified updates to the digital map, and generating a quality score for each of the geographic map regions based on the verified updates. Systems and machine-readable media are also provided.

Abstract: The subject disclosure relates to ways to determine a data collection surveillance cadence. In some aspects, a process of the disclosed technology includes steps for receiving historic map data for one or more geographic regions, wherein each of the one or more geographic regions comprises one or more map features, calculating a change rate for each of the one or more map features, and determining a surveillance cadence for each of the one or more geographic regions based on the change rate for each of the one or more map features. Systems and machine-readable media are also provided.