Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: execute an autonomous vehicle algorithm simulating vehicle operations determine whether a notification that provides information on how a driver intervention for actuation by system feature functions has been at least one of previously presently or confirmed and cause the notification to be generated. The notification includes information for responding to a finite number of driving options determined by the driver intervention for actuation by system.

Abstract: A method is provided for determining a scatter fraction for a radiation diagnosis apparatus. The method includes acquiring an energy spectrum from list mode data obtained from a scan performed using the radiation diagnosis apparatus; determining, from the acquired list mode data, a first number of events occurring in a first energy window spanning a first energy range; determining, from the acquired list mode data, a second number of events occurring in a second window, the second energy window spanning a second energy range different from the first energy range; calculating a singles scatter fraction based on the determined first number of events and the determined second number of events; and reconstructing an image based on the acquired list mode data and the calculated singles scatter fraction.

Abstract: A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: determine, via a trained neural network model, a route for a vehicle to traverse based on vehicle sensor data, and update the trained neural network model based on data received from at least one of an edge computing device or an infrastructure (V2I) device.

Abstract: A vehicle collaboration system of a first autonomous vehicle includes a transceiver and a collaboration controller. The transceiver is configured to broadcast a first collaboration message including first vehicle data associated with the first autonomous vehicle in connection with a collaboration application to a collaboration domain group via a hybrid distributed-connected network (HYDIN). The collaboration domain group includes at least the first autonomous vehicle and a second autonomous vehicle. The transceiver is configured to receive a second collaboration message including second vehicle data associated with the second autonomous vehicle in connection with the collaboration application via the HYDIN. The second collaboration message is broadcast from the second autonomous vehicle to the collaboration domain group via the HYDIN.

Abstract: A method for generating garage parking notifications includes receiving current parked-vehicle data indicating that a vehicle has been parked inside a garage. The current parked-vehicle data includes the current location of the vehicle parked inside the garage. The method further includes determining whether the current location of the vehicle inside the garage is within a warning zone. The warning zone is an area inside the garage where the vehicle has not been frequently parked. The warning zone area is determined using historical parked-vehicle data. The method further includes generating a notification to warn an operator of the vehicle that the vehicle should be moved in response to determining that the current location of the vehicle inside the garage is within the warning zone.

Abstract: Existing, low quality images can be restored using reconstruction or a combination of post-reconstruction techniques to generate a real patient phantom. The real patient phantom (RPP) can then be simulated in Monte Carlo simulations of a higher performance system and a lower performance system. Alternatively, the RPP can be simulated in the higher performance system, and a real scan can be performed by an existing, lower performance system. The higher performance system can be differentiated from the lower performance system in a variety of ways, including a higher resolution time of flight measurement capability, a greater sensitivity, smaller detector crystals, or less scattering. A neural network can be trained using the images produce by the higher performance system as the target, and the images produced by the lower performance system as the input.

Abstract: A method of detecting a malicious wireless vehicle-to-everything (V2X) communication includes retrieving perception data from a perception system on an ego vehicle, determining information about nearby objects from the perception data, receiving a first Basic Safety Message (BSM) from a first V2X source and determining if a vehicle location indicated in the first BSM corresponds to a location visible to the ego vehicle. In the event that the vehicle location indicated in the first BSM does not correspond to a location visible to the ego vehicle, the method further includes receiving a second V2X communication from a second V2X source and determining if the second V2X communication indicates a vehicle at the vehicle location indicated in the first BSM. In the event that the second V2X communication does not indicate a vehicle at the vehicle location indicated in the first BSM, the first BSM data is flagged as malicious.

Abstract: A method for signal separation includes obtaining list mode data representing radiation detected during an imaging scan, the list mode data being affected by quasi-periodic motion of an imaging object; dividing the list mode data into first non-overlapping frames of a first frame length, and process the first frames to determine a cardiac cycle length; determining a second frame length, longer than the first frame length, based on the determined cardiac cycle length; re-binning the list mode data into overlapping frames having the second frame length, based on the non-overlapping frames having the first frame length; applying a principal component analysis (PCA) process on the re-binned list mode data having the second frame length to determine a respiratory waveform; determining a cardiac waveform using the determined respiratory waveform; and reconstructing an image based on the list mode data using the determined respiratory waveform and the determined cardiac waveform.

Abstract: A method is provided for generating an attenuation map for PET image reconstruction. The method includes training a deep convolutional neural network (DCNN) model by minimizing a loss function between initial input image data and the attenuation map generated by a spectral CT scan as supervised data. Further, the method includes obtaining PET data from a scan of a subject and reconstructing a PET image from the PET data and an attenuation map output from the DCNN. The initial input image data can be from a conventional CT scan with or without beam-hardening correction or the input image data can be from a phantom, a simulation, or a SPECT image.

Abstract: A method for performing single gating in a positron emission tomography (PET) system includes: receiving list-mode data acquired by scanning an imaging object using the PET system, the list-mode data being affected by quasi-periodic motion of the imaging object; producing a plurality of vectors based on the received list-mode data; generating a reference vector based on the produced plurality of vectors; selecting, from the produced plurality of vectors, a set of vectors corresponding to a single gate, based on respective differences compared with the generated reference vector; and generating an image of the imaging object based on the selected set of vectors.

Abstract: A computing system including a cooperative system architecture for cataloging, informing, sharing, and managing engineering assets within an organization includes a user management subsystem for creating a registered user profile associated with a specific user of the computing system. The registered user profile includes user metadata that provides identifying characteristics of the specific user. The computing system includes an asset management subsystem including an asset repository for recording one or more engineering assets. The asset management subsystem modifies the user metadata of the registered user profile in response to the specific user recording an engineering asset in the asset repository. The computing system includes a test management subsystem including a test repository for recording one or more test bill of materials.

Abstract: An automated driving system (ADS) of an autonomous vehicle includes a communication module, a perception module, a misbehavior detection module, and a processor. The communication module is configured to receive a vehicle-to-vehicle (V2V) message comprising message-based vehicle data. The perception module configured to receive sensor data from at least one vehicle sensing device. The misbehavior detection module is configured to determine whether the V2V message is one of a legitimate message and a malicious message based at least in part on a comparison of the message-based vehicle data with sensor-based vehicle data generated based on the sensor data. The processor is configured to manage performance of the autonomous vehicle in accordance with the message-based vehicle data based on the determination. Other embodiments are described and claimed.

Abstract: Methods and systems for a vehicle for adaptively controlling messages displayed on a heads-up display. A plurality of requests is received by a first controller to display a message associated with each of the plurality of requests on a heads-up display from one or more operational applications. The plurality of requests are filtered by an arbitration gateway based on user attention data gathered from a user monitoring system and a user behavior history. A priority is assigned to each of the plurality of filtered requests based on a user interest prediction model, at least a portion of the plurality of the filtered requests are selected based on the assigned priority, and the messages associated with the selected portion of the plurality of filtered requests are displayed on the heads-up display.

Abstract: A method of soliciting an occupant intervention for a simultaneous localization and mapping-based navigation system. A vehicle path plan and a motion control instruction are created and a suspected obstacle in a drive path is identified, wherein the drive path provides a portion of the vehicle path plan. The method further includes providing an indication on a first display that an intervention by an occupant is requested and determining if the occupant is paying attention to the indication on the first display. A system of performing the method includes a controller configured to execute instructions executing the method.

Abstract: An automated driving system (ADS) of an autonomous vehicle includes a communication module, a misbehavior detection module, and a processor. The communication module is configured to receive a vehicle-to-vehicle (V2V) message including source vehicle data and receive a fusion data message including fusion data from a mobile edge computing (MEC) system including a roadside unit (RSU). The source vehicle data includes a source vehicle location. The fusion data is based on RSU sensed data and on vehicle sensed data received at the RSU from at least one vehicle. The misbehavior detection module is configured to determine whether a source vehicle is disposed at the source vehicle location based on the fusion data. The processor is configured to manage performance of the autonomous vehicle in accordance with the source vehicle data based at least in part on the determination. Other embodiments are described and claimed.

Abstract: A guided pairing method includes generating a singles list by detecting a plurality of singles at a plurality of detector elements in a detector array, the plurality of singles falling within a plurality of detection windows; for each detection window of the plurality of detection windows in the singles list having exactly two singles of the plurality of singles, determining the line of responses (LORs) for each of the two singles of the plurality of singles; for each detection window of the plurality of detection windows in the singles list having more than two singles of the plurality of singles, determining all coincidences possible based on the more than two singles; generating a weight for said each coincidence of the coincidences based on the determined LORs for said each of the two singles of the plurality of singles; and pairing the more than two singles based on the generated weight for said each coincidence of the coincidences.

Abstract: A PET scanner includes gamma-ray detector rings that form a bore through which an imaging subject is translated, a length of the bore defining an axial length of the PET scanner, the gamma-ray detector rings being movable along the axial length, the gamma-ray detector rings including gamma-ray detector modules therein, and processing circuitry configured to receive PET data associated with a plurality of transaxial slices of the imaging subject, the PET data including a first set of spatial information and timing information corresponding to a first data acquisition period for the gamma-ray detector modules in a first axial position and a second set of spatial information and timing information corresponding to a second data acquisition period for the gamma-ray detector modules in a second axial position, and reconstruct a PET image based on the first set of spatial and timing information and the second set of spatial and timing information.

Abstract: A method is provided for determining a scatter fraction for a radiation diagnosis apparatus. The method includes acquiring an energy spectrum from list mode data obtained from a scan performed using the radiation diagnosis apparatus; determining, from the acquired list mode data, a first number of events occurring in a first energy window spanning a first energy range; determining, from the acquired list mode data, a second number of events occurring in a second window, the second energy window spanning a second energy range different from the first energy range; calculating a singles scatter fraction based on the determined first number of events and the determined second number of events; and reconstructing an image based on the acquired list mode data and the calculated singles scatter fraction.

Abstract: A computing system including a cooperative system architecture for cataloging, informing, sharing, and managing engineering assets within an organization includes a user management subsystem for creating a registered user profile associated with a specific user of the computing system. The registered user profile includes user metadata that provides identifying characteristics of the specific user. The computing system includes an asset management subsystem including an asset repository for recording one or more engineering assets. The asset management subsystem modifies the user metadata of the registered user profile in response to the specific user recording an engineering asset in the asset repository. The computing system includes a test management subsystem including a test repository for recording one or more test bill of materials.