Abstract:
A method performed by an electronic device is described. The method includes determining overlapping areas from neighboring images. The method also includes determining a difference measure between the overlapping areas. The method further includes determining a constraint measure corresponding to at least one of the overlapping areas. The method additionally includes determining a seam based on a combination of the difference measure and the constraint measure.
Abstract:
Various embodiments include processing devices and methods for relocation and reinitialization for a robotic device. Various embodiments may include concurrently relocating a second pose of the robotic device and reinitializing a third pose of the robotic device in response to failing to determine a first pose of the robotic device in the environment and determining that tracking of the robotic device is lost. Various embodiments may include pre-relocating a second pose of the robotic device in the environment in response to failing to determine the first pose of the robotic device in the environment and determining that tracking of the robotic device is lost, relocating a third pose of the robotic device in response to successfully pre-relocating the second pose of the robotic device, and reinitializing a fourth pose of the robotic device in response to unsuccessfully pre-relocating the second pose of the robotic device.
Abstract:
A method includes accessing, at a computing device, data descriptive of a graph representing a program. The graph includes multiple nodes representing execution steps of the program and includes multiple edges representing data transfer steps. The method also includes determining at least two heterogeneous hardware resources of the computing device that are available to execute code represented by one or more of the nodes, and determining one or more paths from a source node to a sink node based on a topology of the graph. The method further includes scheduling execution of code at the at least two heterogeneous hardware resources. The code is represented by at least one of the multiple nodes, and the execution of the code is scheduled based on the one or more paths.
Abstract:
A method for memory utilization by an electronic device is described. The method includes transferring a first portion of a first decision tree and a second portion of a second decision tree from a first memory to a cache memory. The first portion and second portion of each decision tree are stored contiguously in the first memory. The first decision tree and second decision tree are each associated with a different feature of an object detection algorithm. The method also includes reducing cache misses by traversing the first portion of the first decision tree and the second portion of the second decision tree in the cache memory based on an order of execution of the object detection algorithm.
Abstract:
A method performed by an electronic device is described. The method includes determining overlapping areas from neighboring images. The method also includes determining a difference measure between the overlapping areas. The method further includes determining a constraint measure corresponding to at least one of the overlapping areas. The method additionally includes determining a seam based on a combination of the difference measure and the constraint measure.
Abstract:
A method for memory utilization by an electronic device is described. The method includes transferring a first portion of a first decision tree and a second portion of a second decision tree from a first memory to a cache memory. The first portion and second portion of each decision tree are stored contiguously in the first memory. The first decision tree and second decision tree are each associated with a different feature of an object detection algorithm. The method also includes reducing cache misses by traversing the first portion of the first decision tree and the second portion of the second decision tree in the cache memory based on an order of execution of the object detection algorithm.
Abstract:
Various embodiments include methods for improving navigation by a processor of a robotic device. Such embodiments may include initiating a start of a predetermined time period associated with semantic information extraction, and determining whether an adverse event related to one or more sensors of the robotic device is detected. Such embodiments may also include identifying a current time slot of the predetermined time period, identifying a current estimated position and orientation of the robotic device, and recording updates to semantic information stored for the one or more sensor based on the identified current time slot and the current estimated position and orientation of the robotic device in response to determining that an adverse event related to one or more sensors of the robotic device is detected.
Abstract:
Various embodiments include processing devices and methods for initializing an image sensor of a robotic vehicle. In some embodiments, a processor of the robotic vehicle may extract first features from a captured image of the target image, may extract second features from a predefined image pyramid of the target image, may match first features and second features, and may estimate an image sensor pose based on matched features and known dimensions of the target image. In some embodiments, the processor may estimate an image or to image sensor pose based on matched features and a translation and/or rotation of the robotic vehicle. In some embodiments, the processor may determine a coordinate system for the robotic vehicle based on one or more image sensor poses.
Abstract:
A method includes accessing, at a computing device, data descriptive of a graph representing a program. The graph includes multiple nodes representing execution steps of the program and includes multiple edges representing data transfer steps. The method also includes determining at least two heterogeneous hardware resources of the computing device that are available to execute code represented by one or more of the nodes, and determining one or more paths from a source node to a sink node based on a topology of the graph. The method further includes scheduling execution of code at the at least two heterogeneous hardware resources. The code is represented by at least one of the multiple nodes, and the execution of the code is scheduled based on the one or more paths.