Abstract: Some embodiments provide a warning prompt control module which adjustably controls the display of warning prompts for vehicle elements in a vehicle, based on a determined profile with which the occupant is associated. An occupant detected in the vehicle interior can be associated with a profile based on a sensor data representation of the occupant correlating with a sensor data representation included in the profile, accessing a profile from a device supporting the occupant, etc. A profile can include interaction history data which indicate historical interactions with warning prompts for a vehicle element. Displaying a warning prompt for a vehicle element can be adjustably controlled based on the interaction history data, included in a profile, which is associated with the vehicle element.

Abstract: Automated collision warnings may be provided by stationary vehicles. Stationary vehicles may monitor the external environment of the vehicle for moving objects. If a possible collision with a moving object is detected, a collision avoidance action may be selected. The vehicle may be directed to perform the collision avoidance mechanism, which may include visual warnings, auditory warnings, vehicle-to-vehicle warning communications, or automated movement of the stationary vehicle to avoid the collision. A wakeup mechanism may be implemented to reduce power consumption of automated collision warnings by initiating monitoring for possible collision events automatically when a possible collision is likely.

Abstract: This application provides techniques, including circuits and designs, which can receive information with respect to fingerprint images, or portions thereof, and which can be incorporated into devices using fingerprint recognition. This application also provides techniques, including devices which perform fingerprint recognition and methods which can be performed by those devices. In one embodiment, techniques can include providing a fingerprint recognition sensor in which one or more portions of each fingerprint can be collected as they are identified, and those portions can be combined into a unified fingerprint template. In this way, collection and enrollment of fingerprints may be simplified for users.

Abstract: A device has a touch processing module that processes touch screen input to determine if the manner in which the input was entered indicates that the user intends for execution of a particular command. In one embodiment, the module may acquire fingerprint data from the user's input and analyze the data to determine if the input was entered with a particular finger or finger sequence. In another embodiment, the module may also acquire timing data from the user's entry of a plurality of inputs and analyze the timing data to determine if the touch screen input was entered with a particular timing or cadence. In still another embodiment, the module may also acquire force data from the user's entry of a plurality of touch screen inputs and analyze the force data to determine if the touch screen input was entered with a particular force.

Abstract: A fingerprint sensing system. The fingerprint sensing system includes: at least one sensor; at least one display device; at least one application processor; and at least one secure enclave processor. The application processor(s) receives fingerprint data from the sensor(s) and provides the fingerprint data to the secure enclave processor(s). The secure enclave processor(s) decodes the fingerprint data and provides a signal indicative of at least one matched node. The application processor(s), responsive to receipt of the signal indicative of the matched node(s), presents at least a portion of a synthetic fingerprint image via at least one display device corresponding to the matched node(s).

Abstract: Some embodiments provide a sensor data-processing system which generates a depth data representation of an environment based on sensor data representations which are generated by passive sensor devices. The sensor data-processing system generates the depth data representation via applying an algorithm which includes an model architecture which determines depths of various portions of the represented environment based on detecting features correspond to depth information. The model architecture is established via training an algorithm to generate depth data which corresponds to a sample set of depth data representations of environments, given a corresponding set of image data representations of the environments. As a result, the sensor data-processing system enables depth perception of portions of an environment independently of receiving depth data representations of the environment which are generated by an active sensor device.

Abstract: A fingerprint sensing system. The fingerprint sensing system includes: at least one sensor; at least one display device; at least one application processor; and at least one secure enclave processor. The application processor(s) receives fingerprint data from the sensor(s) and provides the fingerprint data to the secure enclave processor(s). The secure enclave processor(s) decodes the fingerprint data and provides a signal indicative of at least one matched node. The application processor(s), responsive to receipt of the signal indicative of the matched node(s), presents at least a portion of a synthetic fingerprint image via at least one display device corresponding to the matched node(s).

Abstract: An autonomous navigation system may autonomously navigate a vehicle through an environment in which one or more non-solid objects, including gaseous and/or liquid objects, are located. Sensors, including sensors which can detect chemical substances in a region of the environment, may detect non-solid objects independently of an opacity of the objects. Non-solid objects may be determined to present an obstacle or interference based on determined chemical composition, size, position, velocity, concentration, etc. of the objects. The vehicle may be autonomously navigated to avoid non-solid objects based on positions, trajectories, etc. of the non-solid objects. The vehicle may be navigated according to avoidance driving parameters to avoid non-solid objects, and a navigation system may characterize a non-solid object as a solid object having dimensions and position which encompasses the non-solid object, so that the vehicle is navigated in avoidance of non-solid objects as if the non-solid objects were solid.

Abstract: A computing device may receive authentication information. Within a time-out period, a fingerprint may also be received. The computing device may assign one or more authentication credentials to the fingerprint based on authentication credentials associated with the received authentication information. In some implementations, the computing device may assign the authentication credentials associated with the received authentication information to the biometric. However, in other implementations, the computing device may assign different authentication credentials to the biometric based on one or more user preferences, defaults, security policies, and/or enterprise policies. In various implementations, the authentication credentials assigned to the biometric may be altered, such as by adding and/or removing one or more authentication credentials. Such alteration may be performed in response to a received user request, changed enterprise policy, changed security policy, fraud alert, and/or other such factor.

Abstract: Aspects of the present disclosure involve systems, methods, computer program products, and the like, for displaying an operational status of a system. In one particular implementation, the operational status of an autonomous vehicle is displayed. The operational status of the vehicle may indicate an operational state of the vehicle, such as whether the vehicle is in manual control mode or autonomous control mode. In addition to displaying the operational state, the vehicle may also display an intended or future maneuver by the vehicle. For example, the vehicle may determine a route for the autonomous vehicle that includes various operations or steps and may display one or more of the operations or steps of the route. This information may be displayed such that an external observer to the vehicle may determine the near-future operation autonomous vehicle is about to perform. Other information concerning the operation of the vehicle may also be displayed.

Abstract: Some embodiments provide an autonomous navigation system which can navigate a vehicle through an environment according to a selected comfort profile, where the comfort profile associates a particular set of occupant profiles and a particular set of driving control parameters, so that the vehicle is navigated based on the particular set of driving control parameters. The comfort profile is selected based on a determined correlation between the occupants detected in the vehicle interior and the occupants specified by the set of occupant profiles included in the comfort profile. The driving control parameters included in a comfort profile can be adjusted based on monitoring occupants of the vehicle for feedback when the vehicle is being autonomously navigated according to the comfort profile.

Abstract: A computing device may determine to execute a secured function. The computing may obtain a biometric of the user of the computing device utilizing one or more biometric sensors associated with the computing device, determine that the biometric matches the biometric of a user authorized to utilize the secured function, and execute the secured function. Whenever during execution of the secured function the computing device determines that the biometric sensor no longer detects the biometric of the user, the computing device may cease execution of the secured function.

Abstract: A computing device may receive authentication information. Within a time-out period, a fingerprint may also be received. The computing device may assign one or more authentication credentials to the fingerprint based on authentication credentials associated with the received authentication information. In some implementations, the computing device may assign the authentication credentials associated with the received authentication information to the biometric. However, in other implementations, the computing device may assign different authentication credentials to the biometric based on one or more user preferences, defaults, security policies, and/or enterprise policies. In various implementations, the authentication credentials assigned to the biometric may be altered, such as by adding and/or removing one or more authentication credentials. Such alteration may be performed in response to a received user request, changed enterprise policy, changed security policy, fraud alert, and/or other such factor.

Abstract: A method for routing a vehicle includes receiving a current location for the vehicle and a destination location for the vehicle and identifying candidate navigation routes extending between the current location and the destination location. The method also includes determining a cognitive load parameter for each candidate navigation route and determining a cost value for a cost function for each candidate navigation route. Each cost value is based on the cognitive load parameter for the respective candidate navigation route. The method also includes selecting the navigation route from the candidate navigation routes based on the cost values for the candidate navigation routes.

Abstract: A computing device may determine to capture biometric information in response to the occurrence of one or more trigger conditions. The trigger condition may be receipt of one or more instructions from one or more other computing devices, detection of potential unauthorized use by the computing device, normal operation of the computing device, and so on. The computing device may obtain biometric information and may store such biometric information. Such biometric information may be one or more fingerprints, one or more images of a current user of the computing device, video of the current user, audio of the environment of the computing device, forensic interface use information, and so on. The computing device may then provide the stored biometric information for identification of one or more unauthorized users.

Abstract: A scannable object is sensed and scanned. A map is constructed based on the scan results. The map is compared to one or more stored templates. Results of the comparison are provided. In some implementations, a secured processor may construct the map and may provide reduced resolution (and/or other versions that contain less information) versions of the map and/or the stored templates to one or more other processors. The one or more other processors may determine a match-set based on matching between the reduced resolution map and stored templates. The secured processor may then identify whether or not a match exists between the map and any stored template based on the match-set.

Abstract: A computing device may receive authentication information. Within a time-out period, a fingerprint may also be received. The computing device may assign one or more authentication credentials to the fingerprint based on authentication credentials associated with the received authentication information. In some implementations, the computing device may assign the authentication credentials associated with the received authentication information to the biometric. However, in other implementations, the computing device may assign different authentication credentials to the biometric based on one or more user preferences, defaults, security policies, and/or enterprise policies. In various implementations, the authentication credentials assigned to the biometric may be altered, such as by adding and/or removing one or more authentication credentials. Such alteration may be performed in response to a received user request, changed enterprise policy, changed security policy, fraud alert, and/or other such factor.

Abstract: A scannable object is sensed and scanned. A map is constructed based on the scan results. The map is compared to one or more stored templates. Results of the comparison are provided. In some implementations, a secured processor may construct the map and may provide reduced resolution (and/or other versions that contain less information) versions of the map and/or the stored templates to one or more other processors. The one or more other processors may determine a match-set based on matching between the reduced resolution map and stored templates. The secured processor may then identify whether or not a match exists between the map and any stored template based on the match-set.

Abstract: A computing device may determine to capture biometric information in response to the occurrence of one or more trigger conditions. The trigger condition may be receipt of one or more instructions from one or more other computing devices, detection of potential unauthorized use by the computing device, normal operation of the computing device, and so on. The computing device may obtain biometric information and may store such biometric information. Such biometric information may be one or more fingerprints, one or more images of a current user of the computing device, video of the current user, audio of the environment of the computing device, forensic interface use information, and so on. The computing device may then provide the stored biometric information for identification of one or more unauthorized users.

Abstract: A device has a touch processing module that processes touch screen input to determine if the manner in which the input was entered indicates that the user intends for execution of a particular command. In one embodiment, the module may acquire fingerprint data from the user's input and analyze the data to determine if the input was entered with a particular finger or finger sequence. In another embodiment, the module may also acquire timing data from the user's entry of a plurality of inputs and analyze the timing data to determine if the touch screen input was entered with a particular timing or cadence. In still another embodiment, the module may also acquire force data from the user's entry of a plurality of touch screen inputs and analyze the force data to determine to determine if the touch screen input was entered with a particular force.