Abstract: A bicycle saddle can be customized to a rider's body to achieve desired support and comfort. The support shell is configured to support a rider's body and can be heated by an external heater and/or at least one internal thermal element operable to heat the bicycle saddle such that the saddle is molded to the rider. A molding indicator in thermal contact with the saddle measures a molding factor, such as temperature or deflection, and visually indicates the measured molding factor for molding the bicycle saddle.

Abstract: A method for error event analysis performed by an electronic device includes: in response to an error event of an autonomous driving system, feeding a sequence of signal states, collected from the autonomous driving system into a prediction model, where the prediction model is trained based on signal states collected from a plurality of autonomous driving systems for predicting, based on a first signal state, a second signal state, the first signal state representing signals collected at a first time, and the second signal state representing signals collected at a second time succeeding the first time; converting the error event into an event signal state having signal values at an event time; comparing the second signal state with the event signal state; and in response to the second signal state matching the event signal state, tracing the error event back to the first signal state as a root cause.

Abstract: A vehicle computing system can receive sensor data from a sensor suite of the vehicle. The system can execute a autoencoder on the sensor data to compress the sensor data, and can stored the compressed sensor data in an on-board database of the vehicle.

Abstract: A 3D printer includes a print bed adapted to receive a layer of print medium, a recoater adapted to distribute the print medium onto the print bed, a laser source adapted to generate a non-interactive laser beam and an interactive laser beam, a controller connected to the laser source to direct the interactive laser beam to the at least one predetermined location, a plurality of fiducial features associated with the recoater, wherein the plurality of fiducial features are presented by the recoater while the recoater distributes the print medium on the print bed to form a layer, and a scanner connected to the controller to detect, via the non-interactive laser beam, the plurality of fiducial features and provide location information for locations of individual ones of the plurality of fiducial features. The controller performs a calibration to adjust where the interactive laser beam is directed to the print medium.

Abstract: Systems, methods, and computer-readable media for deterministic dynamic shaping of traffic of a communication network are provided.

Abstract: A system can receive a perception output from an autonomous vehicle as the autonomous vehicle traverses a segment of a route. The perception output can be based on sensor data generated by a sensor suite of the autonomous vehicle. The system can generate, for an output device of a user, a human-perceptible three-dimensional rendering of an external environment of the vehicle based on the perception output. The human-perceptible three-dimensional rendering of the external environment can be as the user performs driving operations for the vehicle to traverse the segment of the route.

Abstract: A method is provided for forming cutting edges. The method includes a step of providing a grinding stage comprising a pair of abrading wheels that extend from a strip receiving end to a strip exiting end. The method further includes a step of directing a strip of metal at the strip receiving end of the grinding stage along a path P. The method also includes a step of removing material, from the strip of the metal, with an abrasive surface along the pair of abrading wheels which varies from a fine abrasion to a coarse abrasion in a direction from the strip receiving end to the strip exiting end.

Abstract: An apparatus is provided for forming cutting edges including a grinding stage. The grinding stage includes abrading wheels with a strip receiving end configured to receive a strip with a first profile along a path P and a strip exiting end. Axes of the abrading wheels are oriented at a tilt angle relative to the path P. Lands are provided on each abrading wheel with an abrasive surface that varies from fine to coarse in a direction from the strip receiving end to the strip exiting end. The lands are arranged in a spiral helix such that the helix is a right-handed thread on one wheel and a left-handed thread on the other wheel. An improvement is also provided for a system for removing material from a strip of metal incident on the system along a path P.

Abstract: A vehicle computing system can receive raw sensor data in both a traditional sensor data processing module and a learned sensor data processing module. Each module can reproject sensor data in BEV space, and can optionally perform sensor fusion when multiple sensor data types are processed.

Abstract: Examples provide digital alerts associated with activation of a smart siren device of an emergency vehicle. An alert manager provides digital alerts to recipients when a smart siren device is turned on. The alert manager identifies any recipients within range of the smart siren device. The alert manager generates a notification including notification data. The notification is transmitted to one or more recipients within range of the emergency siren device. The notification data is used to generate a digital alert, which is presented to a user via a user interface device or other output device. The system determines when to provide digital alerts by applying user-configurable rules to notification data for customizable digital alerts to selected recipients. The digital alerts can include emergency vehicle indicators identifying the location of emergency vehicles having activated emergency sirens within digital maps displayed to users in vehicles.

Abstract: A backend computing system can receive compressed sensor data from a database of one or more vehicles that operate throughout a road network. The system can execute a set of learnable decoders on the compressed sensor data to decompress the compressed sensor data in accordance with a set of tasks of the set of learnable decoders.

Abstract: A vehicle computing system can receive sensor data from a sensor suite of the vehicle. The system can execute a autoencoder on the sensor data to compress the sensor data, and can stored the compressed sensor data in an on-board database of the vehicle.

Abstract: Examples provide pre-configuration of emergency vehicle lockable device. A device manager obtains a unique identifier (UID) assigned to a lockable device, such as a multicolor lightbar or a siren device in an uninitialized state. The UID and pre-configuration parameters are received in a request to pre-configure a single device or a batch request to pre-configure a plurality of lockable devices. The device manager updates a lock status of a locked function from a locked state in which the lockable function is inoperable to a pre-unlocked state in accordance with the pre-configuration parameters. The device manager generates, and stores unlock code(s) to unlock the pre-configured lockable function. In response to receiving the UID of a lockable device during initialization, the unlock code(s) are automatically transmitted to a user device associated with the lockable device to unlock and enable the pre-unlocked function to operate in accordance with the pre-configuration parameters.

Abstract: The disclosure relates to a system comprising software that predicts responsiveness of healthy subjects or subjects at risk for or suffering from Alzheimer's Disease to certain disease modifying drugs. Embodiments of the disclosure include methods comprising analyzing images of the brain for depositions of amyloid-beta (A?) protein and tau protein, and correlating protein deposition levels to drug responsiveness.

Abstract: Examples provide emergency vehicle warning light device activation digital alerts to recipients. An alert manager monitors activation of smart light devices on an emergency vehicle. When smart light device activation is detected, the alert manager generates a digital alert notification including notification data. The notification data identifies the current location of the emergency vehicle. The notification is transmitted to one or more selected recipients. The notification data in the digital alert notification is used to generate a digital alert on a user interface device or other output device associated with each recipient. The system determines when to provide digital alerts by applying user-configurable rules to notification data for customizable digital alerts to selected recipients. The digital alerts can include emergency vehicle indicators identifying the location of emergency vehicles having activated emergency lights within digital maps displayed to users in vehicles.

Abstract: Systems, methods, and computer-readable media for deterministic dynamic shaping of traffic of a communication network are provided.

Abstract: Some embodiments may include an apparatus usable in a laser system. The apparatus may include at least one optical filter to receive a laser beam or laser light along a first axis, the laser beam or laser light generated by the laser system, wherein the at least one optical filter is configured to reflect one of light having a selected wavelength or a remainder of the laser light along a second axis that is non-parallel with the first axis and pass the other of the light having the selected wavelength or the remainder along a third axis that is parallel to the first axis. Other embodiments may be disclosed and/or claimed.

Abstract: The system and method to measure, identify, and reduce food defects from manual or automated processes uses a combination of sensors, computer vision, and machine learning to optimize yield, and quality for food processes. Specific features are monitored, analyzed, and quantified. Real time and aggregated data are available to relevant stakeholders to aid in understanding and optimizing food yield, quality and throughput. A cut guidance protocol, fingerprinting and embedding of food object is done using food data from a database in a processor.

Abstract: Some embodiments may include an optical assembly usable to process light output from a laser source. The apparatus may include a housing to receive a distal end of an optical fiber that outputs the laser light; one or more actively cooled or passively cooled beam traps contained within the housing or coupled to the housing; and one or more optical apertures located inside the housing, at least one of the optical apertures to define a numerical aperture (NA) of a first portion of the laser light based on a radial dimension of the at least one optical aperture, the at least one optical aperture arranged to pass the first portion of the light and redirect a second different portion of the laser light to the one or more actively cooled or passively cooled beam traps. Other embodiments may be disclosed and/or claimed.

Abstract: Examples provide pre-configuration of emergency vehicle lockable device. A device manager obtains a unique identifier (UID) assigned to a lockable device, such as a multicolor lightbar or a siren device in an uninitialized state. The UID and pre-configuration parameters are received in a request to pre-configure a single device or a batch request to pre-configure a plurality of lockable devices. The device manager updates a lock status of a locked function from a locked state in which the lockable function is inoperable to a pre-unlocked state in accordance with the pre-configuration parameters. The device manager generates, and stores unlock code(s) to unlock the pre-configured lockable function. In response to receiving the UID of a lockable device during initialization, the unlock code(s) are automatically transmitted to a user device associated with the lockable device to unlock and enable the pre-unlocked function to operate in accordance with the pre-configuration parameters.