Abstract: An unmanned aerial vehicle (UAV) controller may have control elements configured to receive inputs from a user. A cover may be coupled to the controller. The cover may be movable between a closed position in which the control elements are covered and an open position in which the control elements are exposed. An antenna may be integrated in the cover. The antenna may be electrically connected to circuitry in the controller for communicating with a UAV. In some implementations, a conductive plane and/or an insulating plane may be integrated in the cover. In some implementations, a heatsink, a fan, and/or a support mechanism may be arranged on an under portion of the controller. In some implementations, a circuit board including a cutout may be arranged inside the controller.

Abstract: A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

Abstract: A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

Abstract: An unmanned aerial vehicle (UAV) controller may have control elements configured to receive inputs from a user. A cover may be coupled to the controller. The cover may be movable between a closed position in which the control elements are covered and an open position in which the control elements are exposed. An antenna may be integrated in the cover. The antenna may be electrically connected to circuitry in the controller for communicating with a UAV. In some implementations, a conductive plane and/or an insulating plane may be integrated in the cover. In some implementations, a heatsink, a fan, and/or a support mechanism may be arranged on an under portion of the controller. In some implementations, a circuit board including a cutout may be arranged inside the controller.

Abstract: A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

Abstract: Embodiments of the present disclosure include a wireless remote control or remote control application for controlling the lighting of an electronic personal transportation vehicle. Embodiments can solve problems related to sharing electronic personal transportation vehicles by uniquely identifying a user, and allowing that user to control the lighting of the electronic personal transportation vehicle. In this manner, other users can control the lighting at different times, depending on the specific person that is using the electronic personal transportation vehicle at any given time.

Abstract: Various embodiments contemplate systems, architectures and methods for extracting and selecting headshots of human or non-human entities from catalogs of images of such subjects. The methods described may find and extract faces from within groups of subjects, verify that the extracted faces correspond to the desired subject, determine cropping or masking regions, or both, of rectangular, circular, elliptical or some other geometry to provide an easily recognized image of the desired subject, expand the output image by synthesizing pixels as may be needed for a desired cropping or masking region, select preferred images among a collection of images of the desired subject, and perform other useful functions. The resulting output images may be in either direct form, reference form or both forms.

Abstract: Embodiments of the present disclosure include a wireless remote control or remote control application for controlling the lighting of an electronic personal transportation vehicle. Embodiments can solve problems related to sharing electronic personal transportation vehicles by uniquely identifying a user, and allowing that user to control the lighting of the electronic personal transportation vehicle. In this manner, other users can control the lighting at different times, depending on the specific person that is using the electronic personal transportation vehicle at any given time.

Abstract: A personalization system for a vehicle includes an image-capture device configured to capture a plurality of images of one or more occupants in the vehicle and control circuitry configured to estimate a plurality of Z-heights of a plurality of body portions of each of the one or more occupants from a reference position in the vehicle, based on the plurality of images captured from the image-capture device, determine an associative relationship between the plurality of Z-heights of the plurality of body portions of each of the one or more occupants in the vehicle and a plurality of in-vehicle systems, based on defined user-preferences, and control the plurality of in-vehicle systems to direct an output from a corresponding in-vehicle system to a specific body portion of each of the one or more occupants in the vehicle, based on the estimated plurality of Z-heights and the determined associative relationship.

Abstract: A vehicle state indication system includes a detection system and a light indicator. The detection system is configured to sense an external moving object. The light indicator includes a first on mode and second on mode, and being disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle in a direction of the external moving object detected.

Abstract: A vehicle state indication system includes a detection system and a text display. The detection system is configured to sense an external moving object. The text display is disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle in a forward direction of the vehicle.

Abstract: A vehicle state indication system includes a light indicator and a controller. The light indicator includes a first on mode and second on mode, and is disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle at least in a forward direction of the vehicle. The controller is programmed to determine whether the vehicle intends to enter the first state or the second state, and to activate the first on mode while the vehicle intends to enter the first state and the second on mode while vehicle intends to enter the second state.

Abstract: A vehicle state indication system includes a detection system and a text display. The detection system is configured to sense an external moving object. The text display is disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle in a forward direction of the vehicle.

Abstract: A vehicle state indication system includes a light indicator and a controller. The light indicator includes a first on mode and second on mode, and is disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle at least in a forward direction of the vehicle. The controller is programmed to determine whether the vehicle intends to enter the first state or the second state, and to activate the first on mode while the vehicle intends to enter the first state and the second on mode while vehicle intends to enter the second state.

Abstract: A vehicle state indication system includes a detection system and a light indicator. The detection system is configured to sense an external moving object. The light indicator includes a first on mode and second on mode, and being disposed on a vehicle so as to be capable of selectively externally indicating a first state of the vehicle and a second state of the vehicle in a direction of the external moving object detected.

Abstract: Novel tools and techniques to optimize, from a merchant's perspective, the outcomes of interactions between the merchant and its customers (whether existing, new, or potential customers). In an aspect, certain embodiments allow for multiple variations of options (multivariate or A/B testing) and outcomes which can be statistically applied and then measured and analyzed for best economic impact or preferred outcome.

Abstract: Novel tools and techniques to optimize, from a merchant's perspective, the outcomes of interactions between the merchant and its customers (whether existing, new, or potential customers). In an aspect, certain embodiments allow for multiple variations of options (multivariate or A/B testing) and outcomes which can be statistically applied and then measured and analyzed for best economic impact or preferred outcome.

Abstract: Systems and methods for determining a probability of changing from one state to another in a stochastic entity, comprising: determining the compact component matrix utilizing characteristic information of the stochastic entity; determining the compact composite component matrix by taking a Kroneker product of the compact component matrix and an identity matrix; determining and placing all current states for the stochastic entity into a state space matrix; determining a Q matrix and/or a transition rate matrix using the compact composite component matrix and basic conditions or variables of the problem domain and/or a compact transition rate matrix; and performing Markov chain Monte Carlo (MCMC) simulation using information from the state space matrix and information from the transition rate matrix to determine the probability of changing from one state to another state in the stochastic entity.

Abstract: Novel tools and techniques to optimize, from a merchant's perspective, the outcomes of interactions between the merchant and its customers (whether existing, new, or potential customers). In an aspect, certain embodiments allow for multiple variations of options (multivariate or A/B testing) and outcomes which can be statistically applied and then measured and analyzed for best economic impact or preferred outcome.