Abstract: A system for surveying includes, a base station, for being positioned with respect to an environment, and an augmented-reality device. The augmented-reality device, such as a head-mounted display, has one or more cameras. An image of the base station is acquired by at least of the one or more cameras. An offset from the augmented-reality device to the base station is calculated based on the image. A position of the augmented-reality device with respect to the environment is calculated based on the offset and the base station positioned with respect to the environment. A virtual object in relation to the environment can then be presented to a user, using the augmented-reality device.

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements.

Abstract: A method of controlling a heating element in thermal communication with a rear window of a vehicle comprises: with a vehicle being in an external environment and comprising a rear window and a heating element in thermal communication with the rear window, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Abstract: A vehicle includes an electric machine and a controller. The electric machine is configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking. The controller is programmed to, in response to identifying a regenerative braking opportunity along an upcoming road segment based on a classification of driver behavior and a classification of the upcoming road segment, operate the electric machine to recharge the battery along the upcoming road segment.

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to generate an operation parameter histogram for each of a plurality of vehicle operation parameters, operate a test vehicle according to the operation parameter histograms, input each operation parameter histogram and a plurality of test vehicle environment data to a machine learning program, output from the machine learning program a classification for each operation parameter histogram from the machine learning program, input the classifications to a predictive damage model of a three-dimensional schematic of a vehicle component, and adjust one of a size or a shape of the three-dimensional schematic based the output of the predictive damage model. The operation parameter histograms are based on collected data about operation of a plurality of vehicles. Each operation parameter histogram includes an array of elements.

Abstract: A method of controlling a heating element in thermal communication with a rear window of a vehicle comprises: with a vehicle being in an external environment and comprising a rear window and a heating element in thermal communication with the rear window, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Abstract: A vehicle includes an electric machine and a controller. The electric machine is configured to draw energy from a battery to propel the vehicle and to recharge the battery during regenerative braking. The controller is programmed to, in response to identifying a regenerative braking opportunity along an upcoming road segment based on a classification of driver behavior and a classification of the upcoming road segment, operate the electric machine to recharge the battery along the upcoming road segment.

Abstract: Methods and systems are presented for improving performance of a vehicle operating in a cruise control mode where a controller adjusts torque output from a vehicle to maintain vehicle speed within a desired range. The methods and systems include adapting a vehicle dynamics model and a vehicle fuel consumption map that provide input to nonlinear model predictive controller.

Abstract: A method of controlling a heating element within a steering wheel of a vehicle comprising: presenting a vehicle comprising a steering wheel including a heating element, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: A method of controlling a heating element within a steering wheel of a vehicle comprising: presenting a vehicle comprising a steering wheel including a heating element, a controller in communication with the heating element, the controller including a Pre-established Predictive Activation Model setting forth rules governing activation of the heating element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the heating element to be manually activated or deactivated; collecting data relating to the Certain Identifiable Conditions; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to initially automatically activate the heating element; and automatically activating the heating element.

Abstract: A method of controlling a temperature altering element within a seating assembly of a vehicle comprising: presenting a vehicle including a seating assembly including a temperature altering element, a controller in communication with the temperature altering element, the controller including a Pre-established Predictive Activation Model setting forth rules governing the activation of the temperature altering element as a function of data relating to Certain Identifiable Conditions, and a user interface configured to allow the temperature altering element to be manually activated or deactivated; occupying the seating assembly with a first occupant; collecting data relating to the Certain Identifiable Conditions while the first occupant is occupying the seating assembly; determining, by comparing the collected data to the rules of the Pre-established Predictive Activation Model, whether the collected data satisfies the rules of the Pre-established Predictive Activation Model so as to activate the temperature alt

Abstract: Provided are mosquito larvicide compositions comprising a mineral oil and a methylated coconut oil. The compositions may further comprise a silicone and at least one surfactant. The compositions can kill mosquito larvae in swamps, floodwater areas, and other areas where mosquitoes develop. Further provided are methods for mosquito control. The methods may comprise coating the surface of a body of water.

Abstract: Provided are mosquito larvicide compositions comprising a mineral oil and a methylated coconut oil. The compositions may further comprise a silicone and at least one surfactant. The compositions can kill mosquito larvae in swamps, floodwater areas, and other areas where mosquitoes develop. Further provided are methods for mosquito control. The methods may comprise coating the surface of a body of water.

Abstract: Provided are mosquito larvicide compositions comprising a mineral oil and a methylated coconut oil. The compositions may further comprise a silicone and at least one surfactant. The compositions can kill mosquito larvae in swamps, floodwater areas, and other areas where mosquitoes develop. Further provided are methods for mosquito control. The methods may comprise coating the surface of a body of water.