Abstract: A method includes receiving data relating to pedestrian activity at one or more locations outside of a crosswalk, analyzing the data, based on the data, identifying at least one location of the one or more locations as a constructive crosswalk, and controlling operation of an autonomous vehicle based on the at least one location of the constructive crosswalk.

Abstract: System, methods, and other embodiments described herein relate to coordinating and optimizing prediction by a model using intermediate data and vehicle-to-vehicle (V2V) communications that improves bandwidth utilization. In one embodiment, a method includes processing acquired data, by a subject vehicle using a prediction model, to execute a vehicle task associated with navigating a driving scene. The method also includes extracting processed data according to the acquired data from intermediate activations of layers within the prediction model according to a cooperation model. The method also includes quantifying relevancy of the processed data, for a target vehicle, to select a subset using the cooperation model. The method also includes communicating the subset to a selected vehicle having the prediction model for additional prediction according to the relevancy and available resources to transmit the subset.

Abstract: A method including generating a curvilinear coordinate system from a current position of the vehicle. The method further includes generating a probability distribution from the curvilinear coordinate system and predicting a future vehicle behavior of the vehicle based on the probability distribution.

Abstract: A method includes encapsulating a current state of a road portion into a voxel grid, a first dimension of the voxel grid being associated with a first spatial dimension of the road portion, a second dimension of the voxel grid being associated with a second spatial dimension of the road portion, and a third dimension of the voxel grid comprising a plurality of feature layers, wherein each feature layer is associated with a feature of the road portion. The voxel grid may be input into a trained neural network and a future state of the road portion may be predicted based on an output of the neural network.

Abstract: A vehicle system includes one or more sensors configured to capture aspects of an environment and a computing device. The computing device is configured to receive information about the environment captured by the one or more sensors, determine one or more structures within the environment based on the received information, select a kernel that is parameterized for predicting a vehicle trajectory based on the one or more structures determined within the environment, and perform a convolution of the selected kernel and an array defining the environment, wherein the convolution predicts a future trajectory of a vehicle within the environment.

Abstract: A method including generating a curvilinear coordinate system from a current position of the vehicle. The method further includes generating a probability distribution from the curvilinear coordinate system and predicting a future vehicle behavior of the vehicle based on the probability distribution.

Abstract: A method includes receiving data relating to pedestrian activity at one or more locations outside of a crosswalk, analyzing the data, based on the data, identifying at least one location of the one or more locations as a constructive crosswalk, and controlling operation of an autonomous vehicle based on the at least one location of the constructive crosswalk.

Abstract: A method includes encapsulating a current state of a road portion into a voxel grid, a first dimension of the voxel grid being associated with a first spatial dimension of the road portion, a second dimension of the voxel grid being associated with a second spatial dimension of the road portion, and a third dimension of the voxel grid comprising a plurality of feature layers, wherein each feature layer is associated with a feature of the road portion. The voxel grid may be input into a trained neural network and a future state of the road portion may be predicted based on an output of the neural network.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.

Abstract: This invention discloses the development of a novel platform for recombinant production of bioactive glycoproteins and cancer specific vaccines in plants. Plants and plant cell cultures have been humanized with respect to human mucin-type protein O-glycosylation. A panel of plant cell factories for production of recombinant glycoproteins with designed human O-glycosylation, including an improved cancer vaccine candidate, has been developed. The platform provides basis for i) production of an essentially unlimited array of O-glycosylated human glycoprotein therapeutics, such as human interferon ?2B and podoplanin, and ii) for further engineering of additional cancer specific O-glycans on glycoproteins of therapeutical value. Currently, mammalian cells are required for human O-glycosylation, but plants offer a unique cell platform for engineering O-glycosylation since they do not perform human type O-glycosylation.

Abstract: A swivel support base apparatus is disclosed. One embodiment of the swivel support base apparatus includes a frame, a swivel mechanism, said swivel mechanism including a foot having a defined frictional coefficient that enables rotation of the frame and impedes translational movement of the foot, and secondary feet connected to the frame and disposed in locations surrounding the swivel mechanism, said secondary feet having a lower frictional coefficient than the foot.

Abstract: This invention discloses the development of a novel platform for recombinant production of bioactive glycoproteins and cancer specific vaccines in plants. Plants and plant cell cultures have been humanized with respect to human mucin-type protein O-glycosylation. A panel of plant cell factories for production of recombinant glycoproteins with designed human O-glycosylation, including an improved cancer vaccine candidate, has been developed. The platform provides basis for i) production of an essentially unlimited array of O-glycosylated human glycoprotein therapeutics, such as human interferon ?2B and podoplanin, and ii) for further engineering of additional cancer specific O-glycans on glycoproteins of therapeutical value. Currently, mammalian cells are required for human O-glycosylation, but plants offer a unique cell platform for engineering O-glycosylation since they do not perform human type O-glycosylation.

Abstract: In certain embodiments, there is provided a system including a display, a mounting groove disposed along a portion of the first display, and a mount position along the mounting groove. In these embodiments, the mount position includes an alignment structure disposed in the mounting groove and a fastener disposed in the mounting groove.

Abstract: Embodiments of the present technique relate to a system for cable management. In one embodiment, the system comprises a display, wherein the display comprises a display screen, a cable passage having a route along a portion of the display, and a pliable flap extending at least partially across the cable passage along the route.

Abstract: Embodiments of the present technique relate to a system and method for managing cables in a display stand. Specific embodiments of the present technique include a display stand having a cable passage between a pliable flap and a vertical structural member, the cable passage traversing a portion of the vertical structural member, and a display coupled to the display stand.

Abstract: In certain embodiments, there is provided a system including a multi-display mount with a first member rotatably coupled to a second member about a first axis, wherein the first member has a rotational path of travel between a substantially horizontal and vertical orientations of the first member, a first display mount coupled to a first end portion of the first member, a second display mount coupled to a second end portion of the first member, wherein the first display mount is disposed vertically above the second display mount in the vertical orientation.