Abstract: An autonomous vehicle can include a perception sensor and one or more processors. The processors can be configured to automatically control the autonomous vehicle to an energy supply station to resupply the autonomous vehicle; detect an arrival of the autonomous vehicle at the energy supply station; detect a calibration target; collect data from the perception sensor corresponding with the calibration target; and calibrate the perception sensor based on the collected data.

Abstract: An autonomous vehicle can include a sensor and one or more processors. The processors can be configured to automatically control the autonomous vehicle to an energy supply station responsive to determining to resupply energy to the autonomous vehicle; detect, via the sensor, an object corresponding to the energy supply station, the object indicating to initiate energy supply to the autonomous vehicle; responsive to detecting the object, control the autonomous vehicle to stop at a defined position relative to the energy supply station; and open an energy input receptacle of the autonomous vehicle to receive energy from the energy supply station.

Abstract: A system can include one or more processors. The processors can be configured to receive, from a vehicle via first one or more sensors of the vehicle, first images or video of a physical environment surrounding the vehicle; receive, from an energy supply station via second one or more sensors of the energy supply station, second images or video of the physical environment surrounding the vehicle; and responsive to receiving the first images or video and the second images or video, generate a virtual interface depicting the physical environment based on the first images or video and the second images or video, the virtual interface enabling a user to provide input to control a mechanical arm of the energy supply station to supply energy to the vehicle.

Abstract: An energy supply station can include a mechanical arm, an energy delivery receptacle, and one or more processors. The processors can be configured to detect an arrival of a vehicle at the energy supply station; transmit an indication of the arrival to a remote computer, causing activation of a virtual interface; and move the mechanical arm, based on input at the virtual interface, to cause the energy delivery receptacle to contact or couple with an energy input receptacle of the vehicle.

Abstract: An autonomous vehicle can include first one or more sensors located on a first side of the autonomous vehicle; second one or more sensors located on a second side of the autonomous vehicle; and one or more processors. The can processors be configured to automatically control, using images generated by the first one or more sensors, the autonomous vehicle to an energy supply station responsive to determining to resupply energy to the autonomous vehicle; detect, using the images generated by the first one or more sensors, an arrival of the autonomous vehicle at the energy supply station; and responsive to detecting the arrival of the autonomous vehicle at the energy supply station, switch from processing images generated by the first one or more sensors to processing images generated by the second one or more sensors.

Abstract: This disclosure relates to a vehicle camera system. In some examples, the vehicle camera system includes one or more camera components, heat generating electronic components, and a shroud. The shroud is configured to provide structural support for the one or more camera components and configured to facilitate dissipation of heat generated by the heat generating electronic components. In some examples, the shroud includes boundaries at least partially surrounding the heat generating electronic components and defining a heat dissipation path for air flow from at least one air inlet to an air outlet of the shroud, and mounting features for mounting the one or more camera components, in which at least one of the mounting features is defined within a portion of the boundaries defining the heat dissipation path.

Abstract: To support sparse scanout of an image sensor, an image data protocol such as the MIPI CSI protocol is extended with support for pixel coordinates in long packets. The receiver uses these to compute where in memory these pixels should be stored or where on a display they should be displayed. Truly sparse scanout is supported for any arbitrarily shaped image areas including for example elliptical readout for fisheye lenses. These techniques save MIPI and serializer/deserializer bandwidth in automotive and other applications, allowing for more cameras per vehicle or other host. Such techniques can be implemented in a way that is compatible with prior MIPI standardized approaches.

Abstract: To support sparse scanout of an image sensor, an image data protocol such as the MIPI CSI protocol is extended with support for pixel coordinates in long packets. The receiver uses these to compute where in memory these pixels should be stored or where on a display they should be displayed. Truly sparse scanout is supported for any arbitrarily shaped image areas including for example elliptical readout for fisheye lenses. These techniques save MIPI and serializer/deserializer bandwidth in automotive and other applications, allowing for more cameras per vehicle or other host. Such techniques can be implemented in a way that is compatible with prior MIPI standardized approaches.

Abstract: A system for, and method of, pixel data compression and a smartphone incorporating the system or the method. In one embodiment, the system includes: (1) a differential pulse code modulation encoder operable differentially to compress the two pixel values losslessly to yield two losslessly compressed pixel values and (2) an entropy encoder coupled to the differential pulse code modulation encoder and configured to receive and entropy-encode the losslessly compressed pixel values using a tiered technique to yield entropy-encoded, losslessly compressed pixel values. values using a tiered technique to yield Huffman-encoded, losslessly compressed pixel values.

Abstract: A system for, and method of, pixel data compression and a smartphone incorporating the system or the method. In one embodiment, the system includes: (1) a differential pulse code modulation encoder operable differentially to compress the two pixel values losslessly to yield two losslessly compressed pixel values and (2) an entropy encoder coupled to the differential pulse code modulation encoder and configured to receive and entropy-encode the losslessly compressed pixel values using a tiered technique to yield entropy-encoded, losslessly compressed pixel values. values using a tiered technique to yield Huffman-encoded, losslessly compressed pixel values.

Abstract: An image capturer for reducing the effect of shutter shake of a digital camera in a smartphone, a method of capturing an image employing a digital camera, and a smartphone. In one embodiment, the image capturer includes: (1) a control interface configured to receive a command to photograph a scene and (2) a best shot determiner, coupled to the control interface and configured to select, after a focused image of the scene has been acquired and in response to receiving the command, a captured image of the scene based on sharpness metrics.