Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: storing, in a data storage device associated with the vehicle, data defining a plurality of modes, wherein the data includes for each mode of the plurality of modes a mode type, at least one vehicle maneuver, and control parameters associated with the at least one vehicle maneuver; dynamically updating, by a processor, at least one of the mode type, the at least one vehicle maneuver, and the control parameters for at least one of the plurality of modes based on user input; and controlling the vehicle based on the dynamically updated mode.

Abstract: Systems and methods are provided for controlling a vehicle. In one embodiment, a method includes: storing, in a data storage device, a decision model, wherein the decision model predicts when to automatically perform a motivational lane change; updating, by a processor, the decision model based on data obtained in response to user input; and automatically requesting, by the processor, a lane change based on the dynamically updated model.

Abstract: A method for controlling a vehicle includes collecting data about human driving styles; machine learning how the human driver reacts to different traffic scenarios based on the collected data to create a plurality of human driving styles profiles; selecting an optimal driving profile of the plurality of human driving styles profiles, wherein the optimal driving profile is selected based feedback provided by a passenger of the vehicle, the feedback is indicative of a pleasantness of each of the plurality of human driving styles profiles; creating a driving plan based on the optimal driving profile; commanding the vehicle to execute the driving plan in a controlled environment to test the pleasantness of the optimal driving profile; and receiving a pleasantness rating from the passenger of the vehicle while the vehicle executes the driving plan.

Abstract: A vehicle, system and a computer-implemented method for setting a height of a seat belt in a vehicle. The system includes a computer vision module, a motor and a controller. The computer vision module determines a seatbelt-neck distance (SND) and a seatbelt-shoulder distance (SSD) for an occupant of the vehicle. The motor adjusts the height of the seat belt. The controller control the motor to set the height of the seat belt based on the SND and the SSD.

Abstract: A system for interacting with a user in a vehicle includes a processing device including an input module configured to receive measurement data from one or more sensors, the measurement data related to features of the user. The system also includes a prompt design module configured to, in response to receiving an instruction to output a requested prompt to the user, determine a user state based on the measurement data, determine an activity state based on the measurement data and the user state, customize the requested prompt based on the user state and the activity state to generate a customized prompt, and output the customized prompt to the user.

Abstract: A seat belt status determining system and method for a vehicle that evaluate a seat belt and determine if it is buckled and if it is properly routed on a passenger. In order to evaluate the seat belt status, the system and method use seat belt sensors and cameras inside the vehicle cabin to generate data that is then analyzed in conjunction with machine learning techniques (e.g., supervised machine learning techniques implemented through the use of neural networks) to classify the seat belt status into one or more categories, such as: passenger not present, passenger present/seat belt not being worn, passenger present/seat belt being worn improperly, passenger present/seat belt being worn properly, and blocked view.

Abstract: A method for controlling a vehicle includes collecting data about human driving styles; machine learning how the human driver reacts to different traffic scenarios based on the collected data to create a plurality of human driving styles profiles; selecting an optimal driving profile of the plurality of human driving styles profiles, wherein the optimal driving profile is selected based feedback provided by a passenger of the vehicle, the feedback is indicative of a pleasantness of each of the plurality of human driving styles profiles; creating a driving plan based on the optimal driving profile; commanding the vehicle to execute the driving plan in a controlled environment to test the pleasantness of the optimal driving profile; and receiving a pleasantness rating from the passenger of the vehicle while the vehicle executes the driving plan.

Abstract: A mechanism is described for facilitating smart measurement of body dimensions despite loose clothing and/or other obscurities according to one embodiment. A method of embodiments, as described herein, includes capturing, by one or more capturing/sensing components of a computing device, a scan of a body of a user, and computing one or more primary measurements relating to one or more primary areas of the body, where the one or more primary measurements are computed based on depth data of the one or more primary areas of the body, where the depth data is obtained from the scan. The method may further include receiving at least one of secondary measurements and a three-dimensional (3D) avatar of the body based on the primary measurements, and preparing a report including body dimensions of the body based on at least one of the secondary measurements and the 3D avatar, and presenting the report at a display device.

Abstract: Apparatuses, methods, and storage media for modifying augmented reality in response to user interaction are described. In one instance, the apparatus for modifying augmented reality may include a processor, a scene capture camera coupled with the processor to capture a physical scene, and an augmentation management module to be operated by the processor. The augmentation management module may obtain and analyze the physical scene, generate one or more virtual articles to augment a rendering of the physical scene based on a result of the analysis, track user interaction with the rendered augmented scene, and modify or complement the virtual articles in response to the tracked user interaction. Other embodiments may be described and claimed.

Abstract: An interactive driving system and method that improves a driving experience by allowing a passenger to interactively monitor and evaluate certain driving maneuvers in real-time with an augmented reality interface. The input provided by the passenger via the augmented reality interface is recorded for later processing and analysis. For instance, the passenger input may be used to generate driving reports for later review by the driver and passenger (e.g., when the passenger is teaching a new driver how to drive) or for the manufacturer of autonomous or semi-autonomous vehicles (e.g., when the manufacturer is seeking actionable feedback for improving various self-driving algorithms). In addition, the interactive driving system and method entertain the passenger with the augmented reality interface, which can be delivered in a game-like fashion via a computer program product installed on their own personal electronic device (e.g., a tablet, phone, laptop, etc.).

Abstract: Examples of techniques for vehicle communication between a first vehicle and a second vehicle are disclosed. An example method includes displaying, on an external vehicle display of the first vehicle, vehicle data. The method further includes capturing, by a camera of the second vehicle, an image of the external vehicle display. The method further includes processing, by a processing device associated with the second vehicle, the image to extract the vehicle data about the first vehicle. The method further includes determining, by the processing device, a position of the first vehicle relative to a position of the second vehicle based at least in part on the vehicle data. The method further includes controlling, by the processing device associated with the second vehicle, the second vehicle based at least in part on the position of the first vehicle relative to the position of the second vehicle.

Abstract: A mechanism is described for facilitating smart measurement of body dimensions despite loose clothing and/or other obscurities according to one embodiment. A method of embodiments, as described herein, includes capturing, by one or more capturing/sensing components of a computing device, a scan of a body of a user, and computing one or more primary measurements relating to one or more primary areas of the body, where the one or more primary measurements are computed based on depth data of the one or more primary areas of the body, where the depth data is obtained from the scan. The method may further include receiving at least one of secondary measurements and a three-dimensional (3D) avatar of the body based on the primary measurements, and preparing a report including body dimensions of the body based on at least one of the secondary measurements and the 3D avatar, and presenting the report at a display device.

Abstract: An augmented reality (AR) device includes a 3D video camera to capture video images and corresponding depth information, a display device to display the video data, and an AR module to add a virtual 3D model to the displayed video data. A depth mapping module generates a 3D map based on the depth information, a dynamic scene recognition and tracking module processes the video images and the 3D map to detect and track a target object within a field of view of the 3D video camera, and an augmented video rendering module renders an augmented video of the virtual 3D model dynamically interacting with the target object. The augmented video is displayed on the display device in real time. The AR device may further include a context module to select the virtual 3D model based on context data comprising a current location of the augmented reality device.

Abstract: Apparatuses, methods, and storage media for modifying augmented reality in response to user interaction are described. In one instance, the apparatus for modifying augmented reality may include a processor, a scene capture camera coupled with the processor to capture a physical scene, and an augmentation management module to be operated by the processor. The augmentation management module may obtain and analyze the physical scene, generate one or more virtual articles to augment a rendering of the physical scene based on a result of the analysis, track user interaction with the rendered augmented scene, and modify or complement the virtual articles in response to the tracked user interaction. Other embodiments may be described and claimed.

Abstract: A mobility planning server is disclosed that is configured to: receive a listing of one or more scheduled activities for a plurality of users; identify a plurality of different types of mobility modes potentially available to transport the users; retrieve, from one or more service providers of the mobility modes, the potential availability of the mobility modes provided by the service provider and any service provider indicated constraints regarding the mobility modes; analyze the one or more scheduled activities, identified mobility modes, the potential availability of the mobility modes, and constraints indicated by any service provider; prepare a mobility plan for each user based on the analysis wherein the mobility plans include a mobility planning server selected mobility mode for each activity; confirm the availability of mobility modes included in the mobility plans; confirm user acceptance of the mobility plans; and schedule a selected mobility mode for each activity.

Abstract: A method of operating a transportation service includes calculating a trip route for a trip request from a commuter, and transmitting a pick-up instruction to a transporting vehicle. A ride rebate option is communicated to the commuter, who may opt to execute it. The ride rebate option may include an option to purchase goods from a third-party provider, provide data to the third-party provider, complete a survey, or promote the third-party provider on social media. The third-party provider is notified when the commuter opts to execute the ride rebate option. Upon confirmation by the third-party provider that the commuter has executed the ride rebate option, a payment amount is transferred from the third-party provider to the transportation service. A fee charged to the commuter by the transportation service is reduced by the payment amount transferred to the transportation service from the third-party provider.

Abstract: An augmented reality (AR) device includes a 3D video camera to capture video images and corresponding depth information, a display device to display the video data, and an AR module to add a virtual 3D model to the displayed video data. A depth mapping module generates a 3D map based on the depth information, a dynamic scene recognition and tracking module processes the video images and the 3D map to detect and track a target object within a field of view of the 3D video camera, and an augmented video rendering module renders an augmented video of the virtual 3D model dynamically interacting with the target object. The augmented video is displayed on the display device in real time. The AR device may further include a context module to select the virtual 3D model based on context data comprising a current location of the augmented reality device.

Abstract: Examples are disclosed for determining an interestingness score for one or more areas of interest included in a display element such as a static image or a motion video. In some examples, an interestingness score may be determined based on eye tracking or gaze information gathered while an observer views the display element.

Abstract: Methods are provided for managing a passenger's interaction with an autonomous vehicle. The method identifies a passenger approaching an autonomous vehicle and activates a recognition signal that indicates pairing the passenger with the vehicle. As the passenger approaches, and entry point for the vehicle is identified. A recognition signal for the entry point is activated and the passenger is notified. As the exit point for the bride approaches, it is identified by the vehicle and in exit indicator is activated for the passenger. Any exit obstacles are identified by the vehicle and the passenger is notified. And exit indicator is activated for the passenger to provide notification of a safe to exit status from the autonomous vehicle.

Abstract: Apparatuses, systems, media and/or methods may involve creating content. A property component may be added to a media object to impart one or more of a perceptual property or a contextual property to the media object. The property component may be added responsive to an operation by a user that is independent of a direct access by the user to computer source code. An event corresponding to the property component may be mapped with an action for the media object. The event may be mapped with the action responsive to an operation by a user that is independent of a direct access by the user to computer source code. A graphical user interface may be rendered to create the content. In addition, the media object may be modified based on the action in response to the event when content created including the media object is utilized.