Qualcomm Incorporated

Jiangtao Ren

Lei Xu

Xiaohui Liu

Yibo Jiang

Yanming Zou

Yin Huang

Liang Zhang

Xiaoyi Zhu

Ruowei Wang

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.

Systems and methods for utilizing semantic information for navigation of a robotic device

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.

Concurrent relocation and reinitialization of VSLAM

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.

Image sensor initialization in a robotic vehicle

Embodiments include devices and methods for processing an image captured by an image sensor of an unmanned autonomous vehicle (UAV). A processor of the UAV may determine a body coordinate matrix of the UAV. The processor may determine an estimated rotation of the image sensor of the UAV. The processor may determine an estimated rotation of the UAV. The processor may transform an image captured by the image sensor based on the body coordinate matrix, the estimated rotation of the image sensor, and the estimated rotation of the UAV.

Image processing in an unmanned autonomous vehicle

Embodiments include devices and methods for adaptive image processing in an unmanned autonomous vehicle (UAV). In various embodiments, an image sensor may capture an image, while a processor of the UAV obtains attitude information from one or more attitude sensors. Such information may include the relative attitude of the UAV and changes in attitude. The processor of the UAV may determine a UAV motion mode based, at least in part, on the obtained attitude information. The UAV motion mode may result in the modification of yaw correction parameters. The processor of the UAV may further execute yaw filtering on the image based, at least in part, on the determined motion mode.

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Beijing, China

Jiangtao Ren