Abstract: Systems and methods for planning a trajectory for a vehicle are disclosed. The methods include generating first predicted states of an object in an environment of the vehicle at one or more first time steps during a first prediction horizon using a machine learning model and sensor data about the environment. The first predicted states are used as an input to a physical model to generate second predicted states of the object at one or more second time steps during a second prediction horizon where the one or more second time steps are after the one or more first time steps. A trajectory for the vehicle is generated using the first predicted states or the second predicted states of the object.

Abstract: Systems/methods for operating an autonomous vehicle. The methods comprise, by a computing device: using sensor data to track an object that was detected in proximity to the autonomous vehicle; classifying the object into at least one dynamic state class of a plurality of dynamic state classes; transforming the at least one dynamic state class into at least one goal class of a plurality of goal classes; transforming the at least one goal class into at least one proposed future intention class of a plurality of proposed future intention classes; determining at least one predicted future intention of the object based on the proposed future intention class; and/or causing the autonomous vehicle to perform at least one autonomous driving operation based on the at least one predicted future intention determined for the object.

Abstract: Systems and methods of determining trajectories of an actor in an environment in which a vehicle is operating are provided. The method includes, by an object detection system of a vehicle in an environment, detecting an actor that may move within a scene in the environment. The method further includes using context of the scene to determine a reference polyline for the actor and determining a kinematic history of the actor. The method additionally includes using the kinematic history to predict a waypoint, which is a predicted position of the actor at a conclusion of a waypoint time period, and identifying a segment of the reference polyline, the segment extending from a current location to a point along the reference polyline that is closest to the waypoint and determining a trajectory for the actor conditioned by the segment of the reference polyline.

Abstract: Systems and methods for forecasting trajectories of objects. The method includes obtaining a prediction model trained to predict future trajectories of objects. The prediction model is trained over a first prediction horizon selected to encode inertial constraints in a predicted trajectory and over a second prediction horizon selected to encode behavioral constraints in the predicted trajectory. The method also include generating a planned trajectory of an autonomous vehicle by receiving state data corresponding to the autonomous vehicle, receiving perception data corresponding to an object, predicting a future trajectory of the object based on the perception data and the prediction model, and generating the planned trajectory of the autonomous vehicle based on the future trajectory of the object and the state data.

Abstract: An assembly of an upper, oval shaped reservoir/pouch bonded or moulded with a lower peripheral hand grip portion having a rectangular well or recess snugly receiving a standard dimension off the shelf rectangular sponge. The reservoir/pouch has a centrally located inlet valve for receiving a suitable cleansing/washing agent and a single outlet nozzle positioned on a lower surface of the reservoir. The reservoir/pouch occupies a substantial volume in relation to sponge to avoid the necessity of frequent filling with cleansing/washing agent. The hand grip portion has a skirt S with opposed, vertical curved wall ribbing and that can be gripped and squeezed together to dispense agent from the reservoir/pouch through the outlet nozzle into and through pores in the sponge, in a manner that should readily be envisaged.

Abstract: Systems/methods for operating an autonomous vehicle. The methods comprise, by a computing device: using sensor data to track an object that was detected in proximity to the autonomous vehicle; classifying the object into at least one dynamic state class of a plurality of dynamic state classes; transforming the at least one dynamic state class into at least one goal class of a plurality of goal classes; transforming the at least one goal class into at least one proposed future intention class of a plurality of proposed future intention classes; determining at least one predicted future intention of the object based on the proposed future intention class; and/or causing the autonomous vehicle to perform at least one autonomous driving operation based on the at least one predicted future intention determined for the object.

Abstract: Systems and methods for form recognition using visual signatures are disclosed. According to one embodiment, a first form of a first document defined by a first plurality of grids and a second form of a second document defined by a second plurality of grids are received. A determination is made as to whether the first form is similar to the second form by computing a pairwise difference between a first grid of the first plurality of grids with a second grid of the second plurality of grids.

Abstract: Systems and methods for segmentation of report corpus using visual signatures are disclosed. According to one embodiment, a computer-implemented method comprises converting a document to a grayscale image and removing noise from the grayscale image by eroding isolated pixels. Connected regions in the grayscale image are determined and a region of the grayscale image having a square shape is identified. An area of the region is computed and if the area is larger than a threshold, determining that the document contains a form.

Abstract: Systems and methods of determining trajectories of an actor in an environment in which a vehicle is operating are provided. The method includes detecting an actor that may move within a scene in the environment by an object detection system of a vehicle in the environment, determining a kinematic history of the actor, and using context of the scene and the kinematic history of the actor to determine a plurality of reference polylines for the actor. The method further includes generating a contextual embedding of the kinematic history of the actor to generate a plurality of predicted trajectories of the actor, in which the generating conditions each of the predicted trajectories to correspond to one of the reference polylines. The method additionally includes using, by the vehicle, the plurality of predicted trajectories to plan movement of the vehicle.

Abstract: Systems and methods of determining trajectories of an actor in an environment in which a vehicle is operating are provided. The method includes, by an object detection system of a vehicle in an environment, detecting an actor that may move within a scene in the environment. The method further includes using context of the scene to determine a reference polyline for the actor and determining a kinematic history of the actor. The method additionally includes using the kinematic history to predict a waypoint, which is a predicted position of the actor at a conclusion of a waypoint time period, and identifying a segment of the reference polyline, the segment extending from a current location to a point along the reference polyline that is closest to the waypoint and determining a trajectory for the actor conditioned by the segment of the reference polyline.

Abstract: Systems and methods for forecasting trajectories of objects. The method includes obtaining a prediction model trained to predict future trajectories of objects. The prediction model is trained over a first prediction horizon selected to encode inertial constraints in a predicted trajectory and over a second prediction horizon selected to encode behavioral constraints in the predicted trajectory. The method also include generating a planned trajectory of an autonomous vehicle by receiving state data corresponding to the autonomous vehicle, receiving perception data corresponding to an object, predicting a future trajectory of the object based on the perception data and the prediction model, and generating the planned trajectory of the autonomous vehicle based on the future trajectory of the object and the state data.

Abstract: A method and a system for forecasting trajectories in an autonomous vehicle using recurrent neural networks. The method includes receiving a first set of data that comprises time series information corresponding to states of a plurality of objects, analyzing the first set of data to determine a plurality of object trajectory sequences corresponding to the plurality of objects, and using one or more of the plurality of object trajectory sequences as input to train a prediction model for predicting future trajectories of the plurality of objects. The predication model can be trained by defining a first prediction horizon, training the prediction model over the first prediction horizon to generate a semi-trained prediction model, defining a second prediction horizon that is longer than the first prediction horizon, and training the semi-trained prediction model to generate a trained prediction model.

Abstract: A method and a system for forecasting trajectories in an autonomous vehicle using recurrent neural networks. The method includes receiving a first set of data that comprises time series information corresponding to states of a plurality of objects, analyzing the first set of data to determine a plurality of object trajectory sequences corresponding to the plurality of objects, and using one or more of the plurality of object trajectory sequences as input to train a prediction model for predicting future trajectories of the plurality of objects. The predication model can be trained by defining a first prediction horizon, training the prediction model over the first prediction horizon to generate a semi-trained prediction model, defining a second prediction horizon that is longer than the first prediction horizon, and training the semi-trained prediction model to generate a trained prediction model.

Abstract: Systems and methods for segmentation of report corpus using visual signatures are disclosed. According to one embodiment, a computer-implemented method comprises converting a document to a grayscale image and removing noise from the grayscale image by eroding isolated pixels. Connected regions in the grayscale image are determined and a region of the grayscale image having a square shape is identified. An area of the region is computed and if the area is larger than a threshold, determining that the document contains a form.

Abstract: A method and apparatus for parental control of purchases by a child of the parent are described including transmitting a notification to the parent that the child of the parent is attempting to make an online purchase, receiving verification that the parent is authorized to approve the online purchase, transmitting a screen to the parent's receiving device for the parent's approval or disapproval of the purchase and receiving the parent's approval or disapproval. Also described are a method and apparatus for a parent to pre-select online media content purchases of a child of the parent including receiving a request to access a parental control system, receiving verification that the parent is authorized to approve the online purchase, generating and rendering a program guide including media content titles and media content ratings and receiving parental selection of media content approved for purchase by the child.

Abstract: A method and system are provided for evolving an avatar. The method includes accessing a user profile for a user from a memory device. The method further includes generating an avatar for the user based upon the user profile. The method also includes changing the user profile based upon actions of the user relating to at least one of experience based progression, content type progression, frequency based progression, and competition based progression. The method additionally includes evolving an attribute of the avatar based upon a change in the user profile.

Abstract: A method and system are provided for recommending media to a user. The method includes providing on a display screen a plurality of rating options for a user to select from among. Each of the plurality of rating options corresponds to a respective grouping between at least two related media items to be rated by the user. The method further includes receiving a rating for the respective grouping between the at least two related media items corresponding to a user selected one of the plurality of rating options. The method also includes generating media recommendations for the user responsive to the rating. The method additionally includes providing the media recommendations to the user on the display screen.

Abstract: A method and apparatus for parental control of purchases by a child of the parent are described including transmitting a notification to the parent that the child of the parent is attempting to make an online purchase, receiving verification that the parent is authorized to approve the online purchase, transmitting a screen to the parent's receiving device for the parent's approval or disapproval of the purchase and receiving the parent's approval or disapproval. Also described are a method and apparatus for a parent to pre-select online media content purchases of a child of the parent including receiving a request to access a parental control system, receiving verification that the parent is authorized to approve the online purchase, generating and rendering a program guide including media content titles and media content ratings and receiving parental selection of media content approved for purchase by the child.

Abstract: A method and system are provided. The method and system are for providing a permissive auxiliary information user interface. The method includes receiving a user selection of one or more types of media asset auxiliary information that a user is interested in viewing during a trick mode operation invoked while playing back a media asset. The method further includes storing the user selection in a memory device. The method also includes providing, to the user on a display screen, media asset auxiliary information of the types indicated by the user selection, when the trick mode operation is invoked while playing back the media asset.