Abstract: Aspects of the present disclosure may include methods, apparatuses, and computer readable media for receiving one or more images having a plurality of objects, receiving a notification from an occupant of the self-driving vehicle, generating an attention map highlighting the plurality of objects based on at least one of the one or more images and the notification, and providing at least one of a steering control or a velocity control to operate the self-driving vehicle based on the attention map and the notification.

Abstract: A method and apparatus for minimizing silicon germanium facets in planar metal oxide semiconductor structures is disclosed. For example, a device fabricated according to the method may include a semiconductor substrate, a plurality of gate stacks formed on the substrate, a plurality of source/drain regions formed from silicon germanium, and a shallow trench isolation region positioned between two source/drain regions of the plurality of source/drain regions. Each source/drain region of the plurality of source/drain regions is positioned adjacent to at least one gate stack of the plurality of gate stacks. Moreover, the shallow trench isolation region forms a trench in the substrate without intersecting the two source/drain regions.

Abstract: A system and method for providing unsupervised domain adaption for spatio-temporal action localization that includes receiving video data associated with a surrounding environment of a vehicle. The system and method also include completing an action localization model to model a temporal context of actions occurring within the surrounding environment of the vehicle based on the video data and completing an action adaption model to localize individuals and their actions and to classify the actions based on the video data. The system and method further include combining losses from the action localization model and the action adaption model to complete spatio-temporal action localization of individuals and actions that occur within the surrounding environment of the vehicle.

Abstract: A system and method for providing unsupervised domain adaption for spatio-temporal action localization that includes receiving video data associated with a source domain and a target domain that are associated with a surrounding environment of a vehicle. The system and method also include analyzing the video data associated with the source domain and the target domain and determining a key frame of the source domain and a key frame of the target domain. The system and method additionally include completing an action localization model to model a temporal context of actions occurring within the key frame of the source domain and the key frame of the target domain and completing an action adaption model to localize individuals and their actions and to classify the actions based on the video data. The system and method further include combining losses to complete spatio-temporal action localization of individuals and actions.

Abstract: A system and method for learning naturalistic driving behavior based on vehicle dynamic data that include receiving vehicle dynamic data and image data and analyzing the vehicle dynamic data and the image data to detect a plurality of behavioral events. The system and method also include classifying at least one behavioral event as a stimulus-driven action and predicting at least one behavioral event as a goal-oriented action based on the stimulus-driven action. The system and method additionally include building a naturalistic driving behavior data set that includes annotations that are based on the at least one behavioral event that is classified as the stimulus-driven action. The system and method further include controlling a vehicle to be autonomously driven based on the naturalistic driving behavior data set.

Abstract: A phase interpolator capable of preventing a glitch from being generated during a clock signal switching operation and a clock signal selector thereof are provided. The clock signal selector includes a selector and a selection signal generator. The selector receives multiple clock signals with different phases. The selector selects one of the clock signals according to a selection signal to generate a selected clock signal. The selection signal generator is coupled to the selector and generates the selection signal. When the selector switches from selecting a first clock signal to selecting a second clock signal as the selected clock signal, the selection signal generator generates a set time point according to a transition point of one of the first clock signal and the second clock signal whose phase lags behind a phase of the other, and generates the selection signal according to the set time point.

Abstract: Systems and techniques for target object retrieval may include or utilize an image capture device, and a task planner. The image capture device may receive an image of an environment including identified objects. The task planner may determine potential actions, calculate a probability of success of achieving a desired goal for each of the potential actions based on an action prediction model, the corresponding potential action, a current state of the environment, any previously taken action, and the desired goal, select a potential action associated with the highest calculated probability of success, and simulate a subsequent state based on the selected potential action and a dynamic prediction model. The potential actions may be associated with an identified object of the identified objects and an operation to be performed on the identified object.

Abstract: A method and apparatus for minimizing silicon germanium facets in planar metal oxide semiconductor structures is disclosed. For example, a device fabricated according to the method may include a semiconductor substrate, a plurality of gate stacks formed on the substrate, a plurality of source/drain regions formed from silicon germanium, and a shallow trench isolation region positioned between two source/drain regions of the plurality of source/drain regions. Each source/drain region of the plurality of source/drain regions is positioned adjacent to at least one gate stack of the plurality of gate stacks. Moreover, the shallow trench isolation region forms a trench in the substrate without intersecting the two source/drain regions.

Abstract: Driver behavior risk assessment and pedestrian awareness may include an receiving an input stream of images of an environment including one or more objects within the environment, estimating an intention of an ego vehicle based on the input stream of images and a temporal recurrent network (TRN), generating a scene representation based on the input stream of images and a graph neural network (GNN), generating a prediction of a situation based on the scene representation and the intention of the ego vehicle, and generating an influenced or non-influenced action determination based on the prediction of the situation and the scene representation.

Abstract: A system and method for completing risk object identification that include receiving image data associated with a monocular image of a surrounding environment of an ego vehicle and analyzing the image data and completing semantic waypoint labeling of at least one region of the surrounding environment of the ego vehicle. The system and method also include completing counterfactual scenario augmentation with respect to the at least one region. The system and method further include determining at least one driver intention and at least one driver response associated with the at least one region.

Abstract: A system and method for utilizing a temporal recurrent network for online action detection that include receiving image data that is based on at least one image captured by a vehicle camera system. The system and method also include analyzing the image data to determine a plurality of image frames and outputting at least one goal-oriented action as determined during a current image frame. The system and method further include controlling a vehicle to be autonomously driven based on a naturalistic driving behavior data set that includes the at least one goal-oriented action.

Abstract: An antenna structure of reduced size but operating at multiple frequencies, applied to an electronic device, includes a housing, a system ground plane, and a first feed point. The housing has at least one portion made of metal material and defines a first gap and a second gap. The housing between the first gap and the second gap forms a first radiation portion. The system ground plane is positioned in the housing and defines a first slit. The first slit corresponds to the first radiation portion and communicates with the second gap. The first feed point is positioned on the first radiation portion and is electrically connected to a first feed source for feeding current and signal to the first radiation portion.

Abstract: Disclosed herein is a method of determining whether a subject has or is at risk of developing a cancer. The method comprises, obtaining a sample from the subject; determining the levels of at least two target polypeptides, which are selected from the group consisting of, ANXA2, HSPA5, KNG1 and MMP1; and assessing whether the subject has or is at risk of developing the cancer based on the levels of target polypeptides. The present method provides a potential means to diagnose and predict the occurrence of oral squamous cell carcinoma, and accordingly, the subject in need thereof could receive a suitable therapeutic regimen in time.

Abstract: A sensing device including a transistor, at least one response electrode, and a selective membrane is provided. The transistor includes a gate end, a source end, a drain end, and a semiconductor layer, wherein the source end and the drain end are located on the semiconductor layer, and the gate end is located between the source end and the drain end. The at least one response electrode is disposed opposite to the gate end of the transistor and spaced apart from the transistor. The selective membrane is located on the at least one response electrode or on the transistor.

Abstract: An antenna structure of reduced size but able to cover first, second, and third LTE-A bands together with WI-FI and BLUETOOTH frequencies includes a metal frame defining at least two gaps. The gaps extend and pass completely through the metal frame, and divide the metal frame into radiating portions. At least one feeding portion is electrically coupled to each radiating portion. Each radiating portion can simultaneously activate first, second, and third operating modes for the radiation of signals in first, second, and third frequency bands.

Abstract: A system and method for performing intersection scenario retrieval that includes receiving a video stream of a surrounding environment of an ego vehicle. The system and method also include analyzing the video stream to trim the video stream into video clips of an intersection scene associated with the travel of the ego vehicle. The system and method additionally include annotating the ego vehicle, dynamic objects, and their motion paths that are included within the intersection scene with action units that describe an intersection scenario. The system and method further include retrieving at least one intersection scenario based on a query of an electronic dataset that stores a combination of action units to operably control a presentation of at least one intersection scenario video clip that includes the at least one intersection scenario.

Abstract: A system and method for predicting driving actions based on intent-aware driving models that include receiving at least one image of a driving scene of an ego vehicle. The system and method also include analyzing the at least one image to detect and track dynamic objects located within the driving scene and to detect and identify driving scene characteristics associated with the driving scene and processing an ego-thing graph associated with the dynamic objects and an ego-stuff graph associated with the driving scene characteristics. The system and method further include predicting a driver stimulus action based on a fusion of representations of the ego-thing graph and the ego-stuff graph and a driver intention action based on an intention representation associated with driving intentions of a driver of the ego vehicle.

Abstract: A system and method for risk object identification via causal inference that includes receiving at least one image of a driving scene of an ego vehicle and analyzing the at least one image to detect and track dynamic objects within the driving scene of the ego vehicle. The system and method also include implementing a mask to remove each of the dynamic objects captured within the at least one image. The system and method further include analyzing a level of change associated with a driving behavior with respect to a removal of each of the dynamic objects. At least one dynamic object is identified as a risk object that has a highest level of influence with respect to the driving behavior.

Abstract: A system and method for learning and executing naturalistic driving behavior that include classifying a driving maneuver as a goal-oriented action or a stimulus-driven action based on data associated with a trip of a vehicle. The system and method also include determining a cause associated with the driving maneuver classified as a stimulus-driven action and determining an attention capturing traffic related object associated with the driving maneuver. The system and method additionally include building a naturalistic driving behavior data set that includes at least one of: an annotation of the driving maneuver based on a classification of the driving maneuver, an annotation of the cause, and an annotation of the attention capturing traffic object. The system and method further include controlling the vehicle to be autonomously driven based on the naturalistic driving behavior data set.