Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.

Abstract: Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.

Abstract: Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

Abstract: A telescopic sensor system for an autonomous vehicle enables sensors located on movable telescopic apparatuses to obtain sensor data when an object obstructs an area scanned by fixed sensors. An example method of controlling a movable telescopic apparatus on an autonomous vehicle includes obtaining, from a first sensor located on the autonomous vehicle, a first sensor data of a first area relative to a location of the autonomous vehicle, performing, from the first sensor data, a first determination that a view of the first area is obstructed, causing, in response to the first determination, a second sensor coupled to the movable telescopic apparatus to extend to a pre-determined position, and obtaining, from the second sensor, a second sensor data of a second area relative to the location of the autonomous vehicle, where the second area includes at least some of the first area.

Abstract: A telescopic sensor system for an autonomous vehicle enables sensors located on movable telescopic apparatuses to obtain sensor data when an object obstructs an area scanned by fixed sensors. An example method of controlling a movable telescopic apparatus on an autonomous vehicle includes obtaining, from a first sensor located on the autonomous vehicle, a first sensor data of a first area relative to a location of the autonomous vehicle, performing, from the first sensor data, a first determination that a view of the first area is obstructed, causing, in response to the first determination, a second sensor coupled to the movable telescopic apparatus to extend to a pre-determined position, and obtaining, from the second sensor, a second sensor data of a second area relative to the location of the autonomous vehicle, where the second area includes at least some of the first area.

Abstract: Techniques are described for determining an occurrence of theft in a vehicle. An example processor implemented method comprises receiving, by a computer located in an autonomous vehicle and at a first time, a first torque value that indicates a first amount of torque applied by an engine of the autonomous vehicle to drive the autonomous vehicle, receiving, at a second time that is later in time than the first time, a second torque value that indicates a second amount of torque applied by the engine of the autonomous vehicle, determining that a difference between a first value and a second value is greater than a pre-determined value, where the first value and the second value are functions of at least the first torque value and at least the second value respectively, and displaying, in response to the determining, a message that indicates a theft detection in the autonomous vehicle.

Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.

Abstract: A telescopic sensor system for an autonomous vehicle enables sensors located on movable telescopic apparatuses to obtain sensor data when an object obstructs an area scanned by fixed sensors. An example method of controlling a movable telescopic apparatus on an autonomous vehicle includes obtaining, from a first sensor located on the autonomous vehicle, a first sensor data of a first area relative to a location of the autonomous vehicle, performing, from the first sensor data, a first determination that a view of the first area is obstructed, causing, in response to the first determination, a second sensor coupled to the movable telescopic apparatus to extend to a pre-determined position, and obtaining, from the second sensor, a second sensor data of a second area relative to the location of the autonomous vehicle, where the second area includes at least some of the first area.

Abstract: A method and device of geographically tagging images by capturing an image, determining a position based on detection of satellite signals and a wireless network signal, and tagging the image with the determined position is provided.

Abstract: Methods and apparatus for enabling output from a mobile device are described herein. A mobile device having an image capture device can selectively generate a hard copy output of a captured image by interfacing with an output device. The mobile device can selectively interface with the output device directly or indirectly via one or more intermediate devices and/or systems. The mobile device can interface directly with an output device using a wired or wireless connection, and can selectively operate as a host or client. The mobile device can selectively couple the stored image to a remote output device via a wireless connection. The mobile device can select the remote output device from a predetermined list of devices, or can be supplied a dynamic list of remote output devices. The dynamic list of output devices can be updated, for example, based on a location of the mobile device.

Abstract: A method and device of geographically tagging images by capturing an image, determining a position based on detection of satellite signals and a wireless network signal, and tagging the image with the determined position is provided.

Abstract: A method and device of geographically tagging images by capturing an image, determining a position based on detection of satellite signals and a wireless network signal, and tagging the image with the determined position is provided.

Abstract: A method and device of geographically tagging images by capturing an image, determining a position based on detection of satellite signals and a wireless network signal, and tagging the image with the determined position is provided.