Abstract: A method for processing content management system workflows. Systems and subsystems are established for configuring a content management system to implement workflow processes wherein the content management system (CMS) exposes instances of stored content objects to a plurality of user devices through an electronic interface. Further systems and subsystem are established for identifying metadata maintained by the CMS for the stored content objects, and for identifying a generative AI entity (GAIE) to interact with the CMS. On an ongoing basis, the foregoing systems and subsystems carry out steps for (1) forming a GAIE prompt, wherein the GAIE prompt comprises at least a portion of the metadata identified from the CMS for the stored content objects, (2) receiving a response from the GAIE, wherein the response corresponds to the GAIE prompt; and (3) using, by the CMS, the response from the GAIE to implement processing of a content management system workflow.

Abstract: Methods, systems, and computer program products for gathering electronic signatures to be applied to collaboration system content objects (e.g., contracts, letters, insurance claims, riders, etc.). A collaboration system monitors changes made to the collaboration system content objects during electronic signature processing. A module of the content management system is configured to associate one or more instances of e-signing metadata to one or more of the stored content objects of the content management system. The e-signing metadata indicates whether or not a particular portion of the one or more of the stored content objects has been e-signed by a designated e-signatory. A collaborator who is not one of the designated e-signatories makes a change to one or more of the stored content objects (e.g., contracts, letters, insurance claims, riders, etc.). The change is remediated on-the-fly and the e-signing process continues without having to restart the e-signing process from the beginning.

Abstract: Methods, systems, and computer program products for automated document generation within a collaboration system. Multiple components are operatively interconnected to carry out automated document generation operations. Collaboration activity limitations are enforced over newly-generated documents. The document generation process produces newly-generated documents and other outputs that are stored in the collaboration system. Operational elements of the collaboration system are able to access the generated document and other document generation system outputs to perform content analysis. Based at least in part on results of the content analysis, characteristics of the generated document and characteristics of the corresponding document system I/O, the collaboration system assigns and/or modifies access parameters of the newly-generated document and its metadata. The access parameters control ongoing enforcement of document handling policies.

Abstract: Methods, systems, and computer program products for automated document generation within a collaboration system. Multiple components are operatively interconnected to carry out automated document generation operations. Collaboration activity limitations are enforced over newly-generated documents. The document generation process produces newly-generated documents and other outputs that are stored in the collaboration system. Operational elements of the collaboration system are able to access the generated document and other document generation system outputs to perform content analysis. Based at least in part on results of the content analysis, characteristics of the generated document and characteristics of the corresponding document system I/O, the collaboration system assigns and/or modifies access parameters of the newly-generated document and its metadata. The access parameters control ongoing enforcement of document handling policies.

Abstract: A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion.

Abstract: Methods, systems, and computer program products for gathering electronic signatures to be applied to collaboration system content objects (e.g., contracts, letters, insurance claims, riders, etc.). A collaboration system monitors changes made to the collaboration system content objects during electronic signature processing. A module of the content management system is configured to associate one or more instances of e-signing metadata to one or more of the stored content objects of the content management system. The e-signing metadata indicates whether or not a particular portion of the one or more of the stored content objects has been e-signed by a designated e-signatory. A collaborator who is not one of the designated e-signatories makes a change to one or more of the stored content objects (e.g., contracts, letters, insurance claims, riders, etc.). The change is remediated on-the-fly and the e-signing process continues without having to restart the e-signing process from the beginning.

Abstract: Provided are methods for predicting agent trajectories, which can include generating a graph corresponding to a map of a scene by encoding map features and agent features as node encodings of the graph and determining a policy for application to outgoing edges of the nodes of the graph. Some methods described also include sampling paths for a target vehicle in the scene according to the policy and predicting a set of trajectories based on the sampled paths traversed by the policy and a sampled latent variable. Systems and computer program products are also provided.

Abstract: A surround multi-object tracking and surround vehicle motion prediction framework is provided. A full-surround camera array and LiDAR sensor based approach provides for multi-object tracking for autonomous vehicles. The multi-object tracking incorporates a fusion scheme to handle object proposals from the different sensors within the calibrated camera array. A motion prediction framework leverages the instantaneous motion of vehicles, an understanding of motion patterns of freeway traffic, and the effect of inter-vehicle interactions. The motion prediction framework incorporates probabilistic modeling of surround vehicle trajectories. Additionally, subcategorizing trajectories based on maneuver classes leads to better modeling of motion patterns. A model takes into account interactions between surround vehicles for simultaneously predicting each of their motion.