Abstract: Described herein are technologies relating to computing a likelihood of an operation-influencing event with respect to an autonomous vehicle at a geographic location. The likelihood of the operation-influencing event is computed based upon a prediction of a value that indicates whether, through a causal process, the operation-influencing event is expected to occur. The causal process is identified by means of a model, which relates spatiotemporal factors and the operation-influencing events.

Abstract: Various technologies described herein pertain to routing an autonomous vehicle based upon risk of takeover of the autonomous vehicle by a human operator. A computing system receives an origin location and a destination location of the autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a computer-implemented model. The computer-implemented model is generated based upon labeled data indicative of instances in which autonomous vehicles are observed to transition from operating autonomously to operating based upon conduction by human operators while the autonomous vehicles are executing predefined maneuvers. The computer-implemented model takes, as input, an indication of a maneuver in the predefined maneuvers that is performed by the autonomous vehicle when the autonomous vehicle follows a candidate route.

Abstract: An imaging device includes: an array of liquid crystal cells, each liquid crystal cell providing a respective phase shift to electromagnetic radiation passing through the liquid crystal cell; control electronics for controlling the phase shifts provided by each of the liquid crystal cells; a detector; and an image processor for generating an image from electromagnetic radiation detected by the detector. The array of liquid crystal cells form a plurality of patches; and the control electronics is configured to control the phase shifts of the cells of each patch to form each patch into a respective lens that focuses electromagnetic radiation towards the detector such that the plurality of patches form an array of lenses.

Abstract: Described herein are technologies relating to computing a likelihood of an operation-influencing event with respect to an autonomous vehicle at a geographic location. The likelihood of the operation-influencing event is computed based upon a prediction of a value that indicates whether, through a causal process, the operation-influencing event is expected to occur. The causal process is identified by means of a model, which relates spatiotemporal factors and the operation-influencing events.

Abstract: Various technologies described herein pertain to routing autonomous vehicles based upon spatiotemporal factors. A computing system receives an origin location and a destination location of an autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a spatiotemporal statistical model. The spatiotemporal statistical model is generated based upon historical data from autonomous vehicles when the autonomous vehicles undergo operation-influencing events. The spatiotemporal statistical model takes, as input, a location, a time, and a direction of travel of the autonomous vehicle. The spatiotemporal statistical model outputs a score that is indicative of a likelihood that the autonomous vehicle will undergo an operation-influencing event due to the autonomous vehicle encountering a spatiotemporal factor along a candidate route.

Abstract: One example discloses a wireless device, comprising: an input configured to receive an interference signal; a transmitter configured to generate a transmit signal having either a first data rate or a second data rate; and a controller coupled to the input and the transmitter, and configured to define an interference threshold; wherein the controller is configured to command the transmitter to modulate the transmit signal at the first data rate if the interference signal is below the interference threshold, and modulate the transmit signal at the second data rate if the interference signal is above the interference threshold.

Abstract: Described herein are technologies relating to computing a likelihood of an operation-influencing event with respect to an autonomous vehicle at a geographic location. The likelihood of the operation-influencing event is computed based upon a prediction of a value that indicates whether, through a causal process, the operation-influencing event is expected to occur. The causal process is identified by means of a model, which relates spatiotemporal factors and the operation-influencing events.

Abstract: Various technologies described herein pertain to routing autonomous vehicles based upon spatiotemporal factors. A computing system receives an origin location and a destination location of an autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a spatiotemporal statistical model. The spatiotemporal statistical model is generated based upon historical data from autonomous vehicles when the autonomous vehicles undergo operation-influencing events. The spatiotemporal statistical model takes, as input, a location, a time, and a direction of travel of the autonomous vehicle. The spatiotemporal statistical model outputs a score that is indicative of a likelihood that the autonomous vehicle will undergo an operation-influencing event due to the autonomous vehicle encountering a spatiotemporal factor along a candidate route.

Abstract: A method and apparatus for audio stream sharing via a wireless link between an audio source device having an RF transceiver and audio sink devices each having an RF transceiver and a body area network (BAN) transceiver is described. Audio data is wirelessly streamed between an audio source device and an audio sink device via the respective RF transceiver. A user contact is detected on one of the audio sink device and a further audio sink device resulting in a BAN connection between the respective BAN transceivers of the audio sink device and the further audio sink device. In response to determining the user contact, a wireless link is setup between the audio source device and the further audio sink device. Audio data is then wirelessly streamed between the audio source and the further audio sink device via the respective RF transceivers.