Abstract: Approaches, techniques, and mechanisms are disclosed for improving carbon footprint of electric vehicles and/or homes. A time window when an electric vehicle connects with a charging station is determined. The charging station is connected with a grid from which the charging station is configured to draw electricity to charge the electric vehicle. An electricity demand of the electric vehicle is predicted based on a current state of charge (SoC) of batteries of the electric vehicle. Costs for drawing electricity from the grid during time intervals are computed. The time window is partitioned into a plurality of time intervals including the time intervals. An optimized schedule for performing operations with the batteries is generated based on the costs. The operations include those used to charge the electric vehicle to satisfy the predicted electricity demand of the electric vehicle.

Abstract: Approaches, techniques, and mechanisms are disclosed for improving end-to-end carbon footprint of electric vehicles. It is determined that an electric vehicle is requesting battery charging by a charging station. A current state of charge for the electric vehicle is used to estimate a charging time duration for the electric vehicle to reach a target state of charge. Multiple candidate time durations are generated within an available time period between a start time and an end time by a demand and footprint optimization system, each candidate time duration in the multiple candidate time durations within the available time period being no shorter than the charging time duration used to charge the electric vehicle from the current state of charge to the target state of charge. The charging time duration for battery charging is scheduled within a specific candidate time duration that is selected from among the multiple candidate time durations.

Abstract: Technologies and techniques for determining locations of a plurality of markers on a vehicle in three-dimensional space. The markers may be configured as optical or radio markers, where a sensor determines the locations of each of the plurality of markers, or a shape formed by the markers collectively. The locations of each of the plurality of markers or shape is then compared to a template to determine a match. The match identifies a vehicle having vehicle data that includes locations of vehicle components and/or vehicle performance characteristics. The vehicle data is then used to generate control signals for controlling a control device that may be associated with a robotic apparatus, a vehicle computer system and/or drone operating system.

Abstract: Technologies and techniques for determining locations of a plurality of markers on a vehicle in three-dimensional space. The markers may be configured as optical or radio markers, where a sensor determines the locations of each of the plurality of markers, or a shape formed by the markers collectively. The locations of each of the plurality of markers or shape is then compared to a template to determine a match. The match identifies a vehicle having vehicle data that includes locations of vehicle components and/or vehicle performance characteristics. The vehicle data is then used to generate control signals for controlling a control device that may be associated with a robotic apparatus, a vehicle computer system and/or drone operating system.

Abstract: A system and method are provided for determining an optimum location of an access device relative to a motor vehicle. The access device allows entry into the motor vehicle and/or allows activation of systems in the motor vehicle depending on the location of the access device relative to the motor vehicle.

Abstract: A system and method are provided for determining an optimum location of an access device relative to a motor vehicle. The access device allows entry into the motor vehicle and/or allows activation of systems in the motor vehicle depending on the location of the access device relative to the motor vehicle.