Abstract: The present disclosure generally relates to methods for sending event notifications. In some examples, a controller periodically sends messages concerning a status of an event corresponding to the controller. In some examples, at a first time while periodically sending the messages and in accordance with a determination that the status of the event has changed, the controller sends a message concerning data other than the status of the event. In some examples, at the first time while periodically sending the messages and in accordance with a determination that the status of the event has not changed, the controller continues to periodically send the messages without sending the message concerning data other than the status of the event.

Abstract: Systems and methods are directed to dynamically and automatically adjusting a standard regenerative braking intensity. Roadway data, data from one or more sensors of a vehicle and data including parameter values for operating states of the vehicle regarding a roadway from a route being navigated by the vehicle are received by a processor of a control system of the vehicle. Standard regenerative braking intensity values based on a vehicle's acceleration is retrieved from memory. Adjusted regenerative braking intensity values are calculated based on at least one of the roadway data, the sensor data and the parameter values of the operating states of the vehicle and the standard regenerative braking intensity values. The adjusted regenerative braking intensity values are transmitted to the control system and an acceleration or deacceleration amount is applied to the vehicle based on the adjusted regenerative braking intensity values.

Abstract: Remote devices have replaced keys as a means to access a secure feature of a vehicle. Remote door locks, starters, climate control, trunk openers, etc., have allowed vehicles to be more welcoming and easier to use. However, such functions often rely on radio frequency transmissions that can merely relay signals coming from an authorized device that may allow a nefarious user to access the vehicle or contents therein. By encoding sequence numbers and timestamps within an exchange, a vehicle may determine that an authorized user is too far away to be granted access to the secure feature, thereby denying access to the nefarious user implementing a relay attack on the vehicle.

Abstract: Embodiments of the present disclosure are directed to dynamically and automatically adjusting a standard regenerative braking intensity. Roadway data, data from one or more sensors of the vehicle and data comprising parameter values for operating states of the vehicle regarding a roadway from a route being navigated by the vehicle are received by a processor of a control system of the vehicle. Standard regenerative braking intensity values based on a vehicle's acceleration is retrieved from memory. Adjusted regenerative braking intensity values are calculated based on at least one of the roadway data, the sensor data and the parameter values of the operating states of the vehicle and the standard regenerative braking intensity values. The adjusted regenerative braking intensity values are transmitted to the control system and an acceleration or deacceleration amount is applied to the vehicle based on the adjusted regenerative braking intensity values.

Abstract: Remote devices have replaced keys as a means to access a secure feature of a vehicle. Remote door locks, starters, climate control, trunk openers, etc., have allowed vehicles to be more welcoming and easier to use. However, such functions often rely on radio frequency transmissions that can merely relay signals coming from an authorized device that may allow a nefarious user to access the vehicle or contents therein. By encoding sequence numbers and timestamps within an exchange, a vehicle may determine that an authorized user is too far away to be granted access to the secure feature, thereby denying access to the nefarious user implementing a relay attack on the vehicle.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate complex parking maneuvers and autonomous fuel replenishment. In some examples, a method may include computing vehicular drive parameters, accessing map data to identify a boundary, detecting an autonomous vehicle, accessing executable instructions to facilitate vectoring of an autonomous vehicle, and applying vehicular drive parameters to propel the autonomous vehicle to a termination point.

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: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate coordination of driverless fuel replenishment. In some examples, a method may include monitoring an amount of fuel relative to a threshold, predicting fuel expenditure of an autonomous vehicle, identifying a candidate time frame, transmitting electronic messages from the autonomous vehicle to reserve a replenishment station, and activating the autonomous vehicle to drive autonomously to receive a fuel replenishment from the reserved replenishment station.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate complex parking maneuvers and autonomous fuel replenishment. In some examples, a method may include computing vehicular drive parameters, accessing map data to identify a boundary, detecting an autonomous vehicle, accessing executable instructions to facilitate vectoring of an autonomous vehicle, and applying vehicular drive parameters to propel the autonomous vehicle to a termination point.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate complex parking maneuvers with, for example, optional modification of a preprogrammed path of travel responsive to characteristics of an autonomous vehicle.

Abstract: Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computing software, including autonomy applications, image processing applications, etc., computing systems, and wired and wireless network communications to facilitate autonomous control of vehicles, and, more specifically, to systems, devices, and methods configured to control driverless vehicles to facilitate coordination of driverless fuel replenishment. In some examples, a method may include monitoring an amount of fuel relative to a threshold, predicting fuel expenditure of an autonomous vehicle, identifying a candidate time frame, transmitting electronic messages from the autonomous vehicle to reserve a replenishment station, and activating the autonomous vehicle to drive autonomously to receive fuel replenishment.

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.