Abstract: A system for controlling an adaptive cruise control system can include a processor and a memory. The memory can store an override ascertainment module, an intent ascertainment module, and an intent utilization module. The override ascertainment module can include instructions that cause the processor to determine, during an operation of the adaptive cruise control system, that an action, performed by an operator of an ego vehicle, is an override of the adaptive cruise control system. The intent ascertainment module can include instructions that cause the processor to determine, during the override, an intent of the operator to change a setting of a mechanism, of the adaptive cruise control system, to control a motion-related aspect of the ego vehicle, from a current setting to a preferred setting. The intent utilization module can include instructions that cause the processor to cause the adaptive cruise control system to utilize information about the intent.

Abstract: A method and system for managing a digital workflow include identifying a task from a series of tasks associated with a project; determining a type of the project and to-be-collected information associated with the task; generating a user interface for presenting in an automated digital workflow application, wherein the user interface comprises one or more user interactive elements determined based on the type of the project and the to-be-collected information associated with the task; identifying trigger criteria associated with the task; interrogating a master data hub associated with the digital workflow to detect data associated with a task trigger; and in response to data associated with the task trigger satisfying the trigger criteria, automatically activating the task by causing the user interface to be displayed in the automated digital workflow application.

Abstract: The disclosure includes embodiments for a medic system to respond to a medical condition of a vehicle occupant. A method according to some embodiments is executed by a processor. The method also includes determining, by the processor, that a driver of an ego vehicle is experiencing a debilitating medical condition. The method also includes overriding a protocol to decrease an autonomy level of the ego vehicle responsive to inattentiveness of the driver to a driving interface of the ego vehicle so that the driver can be inattentive to the driving interface and the autonomy level is not decreased. The method also includes modifying an operation of an autonomous driving system of the ego vehicle to increase the autonomy level of the ego vehicle to decrease a driving responsibility of the driver responsive to the debilitating medical condition.

Abstract: Systems and methods are provided that implement two-stage three-dimensional (3D) object detection, which includes a distinct fusion of radar data and camera data. The radar data includes a four-dimensional (4D) millimeter-wave (MMW) radar point cloud, and the camera data includes a high-resolution image in the two-dimensional space (2D). Thereafter, a 3D ROI proposal is fused with 2D image data generating a 2D proposal projection. The 2D proposal projection comprises proposals that predict the position of objects in the high-resolution image. In some cases, proposals in the 2D proposal projection correspond to anchors in the 3D ROI proposal. Then, 2D object detection results are fused with the 3D ROI proposal to generate 3D object detection results. Two-stage 3D object detection allows vehicles to detect objects in a 3D space of the driving environment to navigate safely, avoid obstacles, and respond to dynamic changes in the surrounding environment while operating autonomously.

Abstract: Systems and methods are provided that implement virtual dataset creation and formal verification for artificial Intelligence (AI)/Machine Learning (ML) models in a manner that improves the performance of AI/ML models when encountering corner cases. For example, a corner case correction system is configured to synthesize new samples by recontextualizing samples related to corner cases, in new environments. The corner case correction system can implement an energetic neural process which separates input data into contextual features and content, and then recombines the context and content to synthesize new samples, generating a virtual dataset. The energetic neural process also performs a formal verification of the AI/ML models to address noise in the virtual dataset. The AI/ML model is trained using the virtual dataset, and an updated AI/ML model is created to execute predictive analysis for the corner cases associated with driving environments of autonomous vehicles.

Abstract: The present disclosure relates to video capture with a portable computing device. A method of operating a portable computing device, a portable computing device and graphical user interface used while capturing a video is also disclosed. Embodiments include generating a video feed for display in landscape mode in a viewing window.

Abstract: Embodiments of methods and systems include determining a driving maneuver to be performed by an ego vehicle based on a road geometry and a lane geometry, the ego vehicle surrounded by one or more surrounding vehicles, retrieving a trajectory model corresponding to the driving maneuver, encoding kinematic data of the surrounding vehicles relative to the ego vehicle to generate spatial relationships between the surrounding vehicles and the ego vehicle, predicting future trajectories of the surrounding vehicles based on the spatial relationships, the kinematic data, the road geometry, and the lane geometry, generating a collision coefficient based on the future trajectories and the driving maneuver, and when the collision coefficient is greater than a predetermined threshold value, determining an escape route for the ego vehicle, and causing the ego vehicle to autonomously operate based on the escape route.

Abstract: Systems and methods of transitioning a vehicle from being autonomously controlled by an autonomous vehicle control system to being controlled by a driver upon the driver taking over driving of the vehicle are disclosed. Exemplary implementations may: obtain tactile information corresponding to the driver of the vehicle while the vehicle is being autonomously controlled by the autonomous vehicle control system; predict, using the tactile information, when the driver will be ready to take over driving of the vehicle from the autonomous vehicle control system; alert the driver to take over driving of the vehicle from the autonomous vehicle control system based on the prediction as to when the driver will be ready to take over driving of the vehicle; and transition the vehicle from being autonomously controlled by the autonomous vehicle control system to being controlled by the driver upon the driver taking over driving of the vehicle.

Abstract: Methods and systems for personalized notifications are provided. The methods and systems may include determining a comfort level of a user based on a reaction of the user to a road situation associated with road traffic, defining a zone of the user based on the comfort level, the zone including a location of the user, providing a notification to a vehicle, the notification including information associated with the zone, in response to a result of a comparison of the zone and a trajectory of the vehicle, and controlling the vehicle to drive based on the notification.

Abstract: A computer-implemented method for automatically generating a REST API specification based on a plain-text user story comprising: receiving the plain-text user story comprising a number of plain-text sentences that constitute a requirements definition for an API-driven control application to be developed; identifying a number of nouns and a number of verbs in the acquired plain-text user story; matching the identified number of verbs to one of a plurality of HTTP methods; matching the number of identified nouns to a number of HTTP resources; building a REST path using the matched HTTP method and the number of matched HTTP resources; and generating and outputting a REST API specification comprising at least the built REST path. Stability of a system to which the control application is deployed is increased. Also proposed is a corresponding computing device.

Abstract: An example operation includes one or more of determining an event has occurred at a location, responsive to a level of the event being above a threshold, determining vehicles heading toward the location that can display information on an exterior portion of the vehicles, requesting to display the information on the vehicles, and responsive of an approval to the requesting, sending the information to the vehicles to display.

Abstract: A system for bulk updating resource data of parameters included in a view is provided. The system includes at least one processor configured to: receive a user request to bulk import data in a file including rows of the data, each row corresponding to a different instance of the view; make an import data API call to bulk import the data into one or more tables to which the data of the parameters is to be saved; make a save data API call to update existing resource data of the parameters, stored in the one or more tables, with the data included in the file; and update, in the one or more tables, the existing resource data of the parameters for the plurality of instances with the data included in the file, wherein the import data save data APIs are generic across a plurality of views and tables.

Abstract: A method may include receiving training data comprising a time series of gaps between an ego vehicle and one or more lead vehicles at a plurality of time steps, embedding the training data into a fixed-length sequence, inputting the fixed-length sequence into a Transformer-RNN model comprising a Transformer component and an RNN component, wherein the transformer component applies attention to each data point of the fixed-length sequence based on a fixed number of previous inputs, and training the Transformer-RNN model, using the training data, to output a predicted gap at a future time step based on an input sequence of gaps.

Abstract: An example operation includes one or more of monitoring a reaction time and a reaction result to an event during an operation of a vehicle, determining a health characteristic, based on the reaction time and the reaction result, and responsive to the health characteristic being above a threshold, altering an element of the vehicle commensurate to an amount above the threshold.

Abstract: This disclosure relates generally to method and system for providing data privacy in service operations. Identifying risk arising from processing of user request in service operations is time consuming and monitoring insider threats is a difficult task. The method includes receiving a user request for a service comprising a plurality of sensitive attributes and further a vulnerability rating is assigned to each sensitive attribute. To mitigate the risk, the method estimates a disclosure proportion for the plurality of sensitive attributes and a masking operation is performed. Further, a sensitivity score is computed to allocate the user request to an agent associated with an agent registry with enabled data privacy and minimal data exposure. The agent is monitored by computing an agent mis-usability score to assess an insider threat risk. Additionally, a feedback alert is notified to autotune the plurality of privacy settings.

Abstract: A system for storing input data to parameters included in a view using a generic save data API is provided. The system includes at least one processor configured to execute instructions to: make a save data API call for saving the input data to a plurality of tables, wherein an input of the save data API call comprises identifiers of the plurality of tables and the parameters, and the input data; obtain information of a second application from resource information pre-registered in the first application, the resource information mapping applications to tables respectively associated with the applications; send, based on the obtained information of the second application, a request to the second application to store first input data, from among the input data, to at least one table associated with the second application; and store, by the second application, the first input data to the at least one table.

Abstract: An adhesive article attachable to a substrate may include an adhesive layer attachable to a major surface of a substrate and a releasable liner in contact with the adhesive layer. The releasable liner has a release layer and a biodegradable polymer layer applied to the release layer. The release layer defines a structured surface in contact with the adhesive layer.

Abstract: A system for saving history information of input data to parameters included in a view is provided. The system includes a processor configured to: output an instance of the view; obtain pre-stored view details for the view, including identifiers of the parameters and tables to which input data of the parameters included are to be stored; make a generic API call to save current input data of a parameter to a table, wherein an input to the API call includes the current input data and old data of the parameter; based on the current input data and the old data being different, store the current input data in the table, create history information of the current input data and store the history information in a history table.

Abstract: A combined User Plane (UP) node optimizes the UP data stream handling for 4G/5G network operation as follows. The combined UP node, which includes an access data plane node, an intermediate data plane node, an anchor data plane node, and a session handling process module. If the IP addresses or the namespaces of the access data plane node, the intermediate data plane node, and the anchor data plane node are different, then the downlink and uplink packet stream handling utilizes an intermediate interface path within the combined UP node. If the IP addresses or the namespaces of the access data plane node, the intermediate data plane node, and the anchor data plane node are same, then the downlink and uplink packet stream handling does not utilize an intermediate interface path within the combined UP node, but TEID of the unutilized intermediate interface path is used in PFCP response message.

Abstract: An example operation includes one or more of receiving, by a processor, first data from a first sensor and second data from a second sensor, on a vehicle, receiving, by the processor, third data from a sensor on a further vehicle, wherein the third data is not observable by the first sensor, interworking, by the processor, the first data, the second data, and the third data, and superimposing, by the processor, the interworked first data, second data, and third data on a display of the vehicle.