Abstract: A method may include obtaining lidar data comprising a plurality of lidar returns from an environment of an autonomous vehicle. The lidar data may be processed with a machine learning model to generate, for the plurality of lidar returns, a plurality of first outputs that each identify a respective lidar return as belonging to an object or non-object and a plurality of second outputs that identify lidar returns belonging to objects as harmful or non-harmful to the autonomous vehicle. A subset of the lidar returns identified as belonging to objects that (i) do not correspond to any of a plurality of pre-classified objects and (ii) were identified as harmful to the autonomous vehicle may be determined. The autonomous vehicle may be controlled based at least in part on the subset of lidar returns.

Abstract: A method may include obtaining sensor data that include a plurality of sensor returns from an environment of an autonomous vehicle. A first set of features may be extracted from the sensor data. The first set of features may be processed with a machine learning model to generate, for at least a subset of the plurality of sensor returns, a first output that classifies a respective sensor return as corresponding to an object or non-object and a second output that indicates a property of the object. The sensor returns classified as corresponding to objects may be compared to a plurality of pre-classified objects to generate one or more generic object classifications. The autonomous vehicle may be controlled based at least in part on the one or more generic object classifications.

Abstract: A search computing system receives an interaction history for one or more respective users describing interactions with one or more items and generates a co-interaction matrix, each value in the co-interaction matrix representing a number of common users determined to have had the interaction with an item of a corresponding row and an item of the corresponding column of the co-interaction matrix where the value is located. The search computing system generates an embeddings matrix comprising an item embedding value for each of the one or more items by applying matrix factorization to the co-interaction matrix and determines, in response to a search query of a particular user, a user embedding value for the searching user based on the interaction history for the searching user. The search computing system determines a similarity between each search result and user interaction history by comparing the user embedding value against each of the item embedding values.

Abstract: The present disclosure provides systems and methods for tracking vehicles or other objects that are perceived by an autonomous vehicle. A vehicle filter can employ a motion model that models the location of the tracked vehicle using a vehicle bounding shape and an observation model that generates an observation bounding shape from sensor observations. A dominant vertex or side from each respective bounding shape can be identified and used to update or otherwise correct one or more predicted shape locations associated with the vehicle bounding shape based on a shape location associated with the observation bounding shape.

Abstract: A circular dipole antenna (e.g., for a magnetic imaging system) according to exemplary embodiments of the present disclosure can comprise a circular conductor with a feed point on one side and a gap on the other. A surface coil loop antenna (e.g., for magnetic imaging system) is provided with a capacitor arrangement selected for non-uniform or unbalanced current distribution, with corresponding magnetic and electric dipole fields provided in a single structure referred to as a loopole.

Abstract: The present disclosure provides systems and methods for tracking vehicles or other objects that are perceived by an autonomous vehicle. A vehicle filter can employ a motion model that models the location of the tracked vehicle using a vehicle bounding shape and an observation model that generates an observation bounding shape from sensor observations. A dominant vertex or side from each respective bounding shape can be identified and used to update or otherwise correct one or more predicted shape locations associated with the vehicle bounding shape based on a shape location associated with the observation bounding shape.

Abstract: The present disclosure provides systems and methods for tracking vehicles or other objects that are perceived by an autonomous vehicle. A vehicle filter can employ a motion model that models the location of the tracked vehicle using a vehicle bounding shape and an observation model that generates an observation bounding shape from sensor observations. A dominant vertex or side from each respective bounding shape can be identified and used to update or otherwise correct one or more predicted shape locations associated with the vehicle bounding shape based on a shape location associated with the observation bounding shape.

Abstract: Managing task execution in a multi-core processor may be achieved by employing a spinlock and a multi-processor priority ceiling protocol. The spinlock may be employed to effect a dynamically enforceable mutual exclusion constraint. The multi-processor priority ceiling protocol may be employed to effect the dynamically enforceable mutual exclusion constraint to synchronize a plurality of tasks executing in the first and second processing cores of the multi-core processor.

Abstract: A circular dipole antenna (e.g., for a magnetic imaging system) according to exemplary embodiments of the present disclosure can comprise a circular conductor with a feed point on one side and a gap on the other. A surface coil loop antenna (e.g., for magnetic imaging system) is provided with a capacitor arrangement selected for non-uniform or unbalanced current distribution, with corresponding magnetic and electric dipole fields provided in a single structure referred to as a loopole.

Abstract: A method for managing task execution in a multi-core processor includes employing a spinlock to effect a dynamically enforceable mutual exclusion constraint and employing a multi-processor priority ceiling protocol to effect the dynamically enforceable mutual exclusion constraint to synchronize a plurality of tasks executing in the first and second processing cores of the multi-core processor.

Abstract: A phased array coil for a Magnetic Resonance Imaging (MRI) system is provided that includes a first coil, a second coil adjacent the first coil, and a third coil adjacent the second coil. The first, second and third coils are configured in a parallel arrangement in a left-right direction of the MRI system.

Abstract: A phased array coil for a Magnetic Resonance Imaging (MRI) system is provided that includes a first coil and a second coil adjacent the first coil. The first and second coils are configured in a shifted arrangement from a center of examination of the MRI system.

Abstract: A phased array coil for a Magnetic Resonance Imaging (MRI) system is provided that includes a first coil, a second coil adjacent the first coil, and a third coil adjacent the second coil. The first, second and third coils are configured in a parallel arrangement in a left-right direction of the MRI system.

Abstract: A phased array coil for a Magnetic Resonance Imaging (MRI) system is provided that includes a first coil and a second coil adjacent the first coil. The first and second coils are configured in a shifted arrangement from a center of examination of the MRI system.