Abstract: Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

Abstract: Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

Abstract: An apparatus for autonomously controlling vehicles at a specified location is provided. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory includes instructions configuring the at least a processor to receive site-specific driving rules for a distribution center and communicate with a plurality of delivery vehicles at the distribution center. Communicating includes receiving status data from the plurality of delivery vehicles, determining a waypath for the plurality of delivery vehicles based on the status data and the site-specific driving rules, and transmitting the waypath to the plurality of delivery vehicles. The processor is also configured to communicate with a monitor device, wherein the monitor device is configured to monitor movements of the plurality of delivery vehicles.

Abstract: An apparatus for autonomously controlling vehicles at a specified location is provided. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory includes instructions configuring the at least a processor to receive site-specific driving rules for a distribution center and communicate with a plurality of delivery vehicles at the distribution center. Communicating includes receiving status data from the plurality of delivery vehicles, determining a waypath for the plurality of delivery vehicles based on the status data and the site-specific driving rules, and transmitting the waypath to the plurality of delivery vehicles. The processor is also configured to communicate with a monitor device, wherein the monitor device is configured to monitor movements of the plurality of delivery vehicles.

Abstract: Aspects relate to apparatus and methods for autonomously controlling electric vehicles for charging. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate charging data to a user. Communicating with the plurality of vehicles includes receiving status data from the vehicles, transmitting a waypath to the vehicles, and directing the vehicles to a designated spot for charging. A user may manually charge the vehicles at the designated spot.

Abstract: Aspects relate to apparatus and methods for autonomously controlling electric vehicles for charging. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate charging data to a user. Communicating with the plurality of vehicles includes receiving status data from the vehicles, transmitting a waypath to the vehicles, and directing the vehicles to a designated spot for charging. A user may manually charge the vehicles at the designated spot.

Abstract: A security monitoring system for a Controller Area Network (CAN) comprises an Electronic Control Unit (ECU) operatively connected to the CAN bus. The ECU is programmed to classify a message read from the CAN bus as either normal or anomalous using an SVM-based classifier with a Radial Basis Function (RBF) kernel. The classifying includes computing a hyperplane curvature parameter ? of the RBF kernel as ?=ƒ(D) where ƒ( ) denotes a function and D denotes CAN bus message density as a function of time. In some such embodiments ?=ƒ(Var(D)) where Var(D) denotes the variance of the CAN bus message density as a function of time. The security monitoring system may be installed in a vehicle (e.g. automobile, truck, watercraft, aircraft) including a vehicle CAN bus, with the ECU operatively connected to the vehicle CAN bus to read messages communicated on the CAN bus.

Abstract: An apparatus for autonomously controlling vehicles at a specified location is provided. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory includes instructions configuring the at least a processor to receive site-specific driving rules for a distribution center and communicate with a plurality of delivery vehicles at the distribution center. Communicating includes receiving status data from the plurality of delivery vehicles, determining a waypath for the plurality of delivery vehicles based on the status data and the site-specific driving rules, and transmitting the waypath to the plurality of delivery vehicles. The processor is also configured to communicate with a monitor device, wherein the monitor device is configured to monitor movements of the plurality of delivery vehicles.

Abstract: Aspects relate to apparatus and methods for autonomously controlling electric vehicles for charging. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate charging data to a user. Communicating with the plurality of vehicles includes receiving status data from the vehicles, transmitting a waypath to the vehicles, and directing the vehicles to a designated spot for charging. A user may manually charge the vehicles at the designated spot.

Abstract: Aspects relate to apparatus and methods for autonomously controlling vehicles at a specified location. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate with a monitor device. Communicating with the plurality of vehicles includes receiving status data from the vehicles and transmitting a waypath to the vehicles.

Abstract: Aspects relate to apparatus and methods for autonomously controlling electric vehicles for charging. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate charging data to a user. Communicating with the plurality of vehicles includes receiving status data from the vehicles, transmitting a waypath to the vehicles, and directing the vehicles to a designated spot for charging. A user may manually charge the vehicles at the designated spot.

Abstract: Aspects relate to apparatus and methods for autonomously controlling vehicles at a specified location. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate with a monitor device. Communicating with the plurality of vehicles includes receiving status data from the vehicles and transmitting a waypath to the vehicles.

Abstract: Aspects relate to apparatus and methods for autonomously controlling electric vehicles for charging. Apparatus includes a processor configured to receive a map of a location, communicate with a plurality of vehicles at the location, and communicate charging data to a user. Communicating with the plurality of vehicles includes receiving status data from the vehicles, transmitting a waypath to the vehicles, and directing the vehicles to a designated spot for charging. A user may manually charge the vehicles at the designated spot.

Abstract: Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.

Abstract: Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

Abstract: A system and method for an autonomous vehicle to perform an autonomous trip. A mobile communication device establishes a connection with an autonomous vehicle. The mobile communication device transmits a request for the autonomous vehicle to perform an autonomous trip. The autonomous trip includes the autonomous vehicle traveling from a first location to a second location without operator input. The autonomous trip is to be initiated by the autonomous vehicle based on the reception of the request.

Abstract: Aspects relate to systems and methods for mapping a parking area for autonomous parking. An exemplary method includes receiving a point of interest designator for a point of interest, a drop-off location designator for a drop-off location, a parking location designator for a parking location, and a parking path designator for a parking path between the drop-off location and the parking location, receiving survey data of the point of interest from a remote device having at least a locating sensor, wherein survey data includes a drop-off geofence for the drop-off location, a parking geofence for the parking location, and a parking waypath for the parking path, and generating a parking map for the point of interest, wherein the parking map includes the drop-off location designator, the parking location designator, the parking path designator, the drop-off geofence, the parking geofence, and the parking waypath.

Abstract: Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.

Abstract: Aspects relate to methods and systems for parking a vehicle. An exemplary system includes a first plurality of sensors located on the vehicle and configured to detect first sensor data as a function of objects over a first height range, a second plurality of sensors located on the vehicle and configured to detect second sensor data as a function of objects over a second height range at least partially greater than the first height range, and a computing device configured to receive the first sensor data from the first plurality of sensors and the second sensor data from the second plurality of sensors, and determine the space proximal the vehicle is suitable for parking the vehicle as a function of the first sensor data, the second sensor data, and a height of the vehicle.

Abstract: Aspects relate to methods and systems for controlling usage of parking maps for autonomous parking. In some embodiments, an exemplary system includes a computing device, configured to receive a first parking map representative of a first point of interest, wherein the first parking map comprises a first access datum, generate a first map metric associated with the first parking map, and selectively communicate the first parking map with a first remote device as a function of the first access datum.