Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: Roughly described, a three-dimensional, multi-layer map is built employing sensory data gathering and analysis. The sensory data are gathered from multiple operational cameras and one or more auxiliary sensors. The multi-layer maps are stored in a map stored to be distributed to one or more autonomous vehicles and robots in the future. The techniques herein are described with reference to specific example implementations to implement improvements in navigation in autonomous vehicles and robots.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: A cloud server maintains a neighboring vehicle data structure storing vehicle information of vehicles coupled to the cloud server over a network. The server receives a first request from a first of the vehicles, including a first vehicle identifier (ID) and current vehicle metadata of the first vehicle. In response to the first request, the server traverses the neighboring vehicle data structure to update a first node corresponding to the first vehicle based on the first vehicle ID and the current vehicle information of the first vehicle. The server transmits to the first vehicle over the network a list of one or more vehicle IDs identifying one or more vehicles that are within a predetermined geographic proximity of the first autonomous vehicles to allow the first vehicle to directly communicate with any vehicle in the list via a wireless local area network.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: According to one embodiment, a master storage node receives a search query for searching images from a client, where the master storage node is coupled to a number of worker storage nodes over a storage network. The master storage node performs a hash operation on one or more keywords of the search query using a first predetermined hash function, generating a first hash value. A first of the worker storage nodes is identified based on the first hash value. The master storage node redirects the search query to the first worker storage node to allow the first worker storage node service the search query. The first worker storage node is to identify one or more images from a first system memory of the first worker storage node based on the search query and to transmit the one or more images to the client.

Abstract: In one embodiment, an image analysis is performed on an image captured using a camera mounted on an autonomous vehicle, the image representing an exterior environment of an autonomous vehicle. Localization information surrounding the autonomous vehicle is obtained at a point in time. A perception of an audience external to the autonomous vehicle is determined based on the image analysis and the localization information. One or more content items are received from one or more content servers over a network in response to the perception of the audience. A first content item selected from the one or more content items is displayed on a display device mounted on an exterior surface of the autonomous vehicle.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from multiple operational cameras and one or more auxiliary sensors.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

Abstract: The described positional awareness techniques employing sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy. The sensory data are gathered from an operational camera and one or more auxiliary sensors.

Abstract: Roughly described, a three-dimensional, multi-layer map is built employing sensory data gathering and analysis. The sensory data are gathered from multiple operational cameras and one or more auxiliary sensors. The multi-layer maps are stored in a map stored to be distributed to one or more autonomous vehicles and robots in the future. The techniques herein are described with reference to specific example implementations to implement improvements in navigation in autonomous vehicles and robots.

Abstract: The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.