Abstract: In some examples, one or more processors of an aerial vehicle determine an update to a three-dimensional (3D) model corresponding to a scan target to scan according to a scan plan. Based at least on the update to the 3D model, the one or more processors determine a set of one or more uncovered points of the 3D model that are not covered by the scan plan. Additionally, the one or more processors determine an updated scan plan based at least on determining one or more poses to include in the scan plan for scanning the one or more uncovered points of the 3D model. The one or more processors, control the aerial vehicle to scan the scan target with the one or more image sensors according to the updated scan plan.

Abstract: A computer accesses a first symbolic expression for an output matrix as a function of an input matrix at a computing device comprising processing circuitry and memory. The computer computes a first Jacobian of the input matrix with respect to an input tangent space. The computer computes a second Jacobian of the output matrix with respect to the input matrix. The computer computes a third Jacobian of an output tangent space with respect to the input matrix. The computer applies symbolic matrix multiplication to the first Jacobian, the second Jacobian, and the third Jacobian to obtain a second symbolic expression for the output tangent space with respect to the input tangent space. The computer provides a representation of the second symbolic expression, the second symbolic expression representing a computed tangent-space Jacobian.

Abstract: Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using infrared data.

Abstract: A system includes a first vehicle computer programmed to monitor first vehicle sensor data as the first vehicle traverses a route; identify a location of interest along the route based on a topographic feature of the location of interest determined from the first vehicle sensor data; and store a selected subset of the first vehicle sensor data for the location of interest in a set of collected data about the route. The system further includes a second computer programmed to receive the collected data about the route; and based on the collected data about the route, generate a set of guidance data including one or more recommended operating parameters for the location of interest, whereby the recommending operating parameters are available to a third computer for a second vehicle.

Abstract: Autonomous aerial navigation in low-light and no-light conditions includes using night mode obstacle avoidance intelligence, training, and mechanisms for vision-based unmanned aerial vehicle (UAV) navigation to enable autonomous flight operations of a UAV in low-light and no-light environments using infrared data.

Abstract: A computer includes a processor and a memory storing instructions executable by the processor to record a first video of inputs to respective controls of a user interface of a vehicle, add metadata to the first video of respective times at which the respective inputs are provided, and generate a second video based on the first video and the metadata. The second video shows the user interface and highlights the respective controls corresponding to the respective inputs at the respective times.

Abstract: An unmanned aerial vehicle (UAV) that includes: a chassis; a plurality of arms that extend outwardly from the chassis; a plurality of propeller assemblies that are supported by the plurality of arms; a canopy that is connected to the chassis so as to provide an outer cover for the UAV that is configured to protect internal components thereof; a frame that is supported by the canopy such that the frame is isolated from the chassis; and a plurality of image capture assemblies that are supported by the frame such that the frame separates the plurality of image capture assemblies from the chassis and the canopy so as to inhibit relative movement between the plurality of image capture assemblies during operation of the UAV.

Abstract: An unmanned aerial vehicle (UAV) that includes: a chassis; a plurality of arms that extend outwardly from the chassis; a plurality of propeller assemblies that are supported by the plurality of arms; a canopy that is connected to the chassis so as to provide an outer cover for the UAV that is configured to protect internal components thereof; a frame that is supported by the canopy such that the frame is isolated from the chassis; and a plurality of image capture assemblies that are supported by the frame such that the frame separates the plurality of image capture assemblies from the chassis and the canopy so as to inhibit relative movement between the plurality of image capture assemblies during operation of the UAV.

Abstract: In some examples, one or more processors of an unmanned aerial vehicle (UAV), control a propulsion mechanism of the UAV to cause the UAV to navigate to a plurality of positions in relation to a scan target. Using one or more image sensors of the UAV, a first image of the scan target is captured from a first position of the plurality of positions, and a second image of the scan target is captured from a second position of the plurality of positions. A disparity is determined between the first image captured at the first position and the second image captured at the second position. A three-dimensional model corresponding to the scan target is determined based in part on the disparity determined between the first image and the second image.

Abstract: In some examples, one or more processors of an aerial vehicle access a scan plan including a sequence of poses for the aerial vehicle to assume to capture, using the one or more image sensors, images of a scan target. A next pose of the scan plan is checked for obstructions, and based at least on detection of an obstruction, the one or more processors determine whether a backup pose is available for capturing an image of the targeted point orthogonally along a normal of the targeted point. Responsive to determining that the backup pose is unavailable for capturing an image of the targeted point orthogonally along the normal of the targeted point, image capture of the targeted point is performed at an oblique angle to the normal of the targeted point.

Abstract: A laminate article includes a dielectric substrate including a perfluorocopolymer matrix comprising a fluorinated perfluorocopolymer and a non fluorinated perfluorocopolymer; a quartz fabric embedded in the perfluorocopolymer matrix; and an additive material dispersed in the perfluorocopolymer matrix, in which the additive material is capable of absorbing ultraviolet light; and a conductive cladding disposed on a surface of the dielectric substrate.

Abstract: In some examples, one or more processors of an aerial vehicle access a scan plan including a sequence of poses for the aerial vehicle to assume to capture, using the one or more image sensors, images of a scan target. A next pose of the scan plan is checked for obstructions, and based at least on detection of an obstruction, the one or more processors determine whether a backup pose is available for capturing an image of the targeted point orthogonally along a normal of the targeted point. Responsive to determining that the backup pose is unavailable for capturing an image of the targeted point orthogonally along the normal of the targeted point, image capture of the targeted point is performed at an oblique angle to the normal of the targeted point.

Abstract: The disclosure is generally directed to systems and methods associated with a vehicle that is configured to provide photography assistance. An example method executed by processor of a vehicle may include generating a guidance associated with a photo capture operation and conveying the guidance to a vehicle controller. The processor may assist the vehicle controller to execute a vehicle maneuvering operation to capture a photograph of an object of photographical interest located outside the vehicle. The vehicle maneuvering operation can include parking the vehicle at a location that provides a view of the object or slowing down the vehicle while driving past the location. The photo capture operation can include the processor determining that the object is in a field of view of a camera mounted on the vehicle, configuring the camera to capture a photograph of the object, and operating the camera to capture the photograph of the object.

Abstract: In some examples, one or more processors of an unmanned aerial vehicle (UAV), control a propulsion mechanism of the UAV to cause the UAV to navigate to a plurality of positions in relation to a scan target. Using one or more image sensors of the UAV, a first image of the scan target is captured from a first position of the plurality of positions, and a second image of the scan target is captured from a second position of the plurality of positions. A disparity is determined between the first image captured at the first position and the second image captured at the second position. A three-dimensional model corresponding to the scan target is determined based in part on the disparity determined between the first image and the second image.

Abstract: The disclosure generally pertains to systems and methods for assisting a battery electric vehicle (BEV) execute a battery charging operation. In an example method, a processor of a battery charging advisory system in a BEV obtains information about a battery charging lot and evaluates the information to identify a battery charging station having a first charging cable that includes a first type of plug which is compatible for coupling to a charging port of the BEV. The processor may then identify a location of the charging port on the BEV and uses this information to determine an orientation of the BEV with respect to the battery charging station. The processor then provides an advisory for maneuvering the BEV into a position that allows coupling of the first charging cable of the battery charging station to the charging port of the BEV.

Abstract: A vehicle cargo utilization control system includes a processor disposed in a vehicle controller and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive identity information associated with a vehicle user from a mobile device and vehicle sensory devices, and determine identity of the vehicle user. The system receives receive anthropometry information, and entry and exit data associated with the vehicle user that can indicate mobility limitations or special uses of the vehicle cargo hold that have been observed and recorded by the system. The processor may determine a vehicle recommendation based on the identity of the vehicle user and the anthropometry information, and cause a vehicle configuration change that modifies a vehicle system based on the unique user identity, mobility limitations, and predicted use of the vehicle.

Abstract: An autonomous vehicle that is equipped with image capture devices can use information gathered from the image capture devices to plan a future three-dimensional (3D) trajectory through a physical environment. To this end, a technique is described for image-space based motion planning. In an embodiment, a planned 3D trajectory is projected into an image-space of an image captured by the autonomous vehicle. The planned 3D trajectory is then optimized according to a cost function derived from information (e.g., depth estimates) in the captured image. The cost function associates higher cost values with identified regions of the captured image that are associated with areas of the physical environment into which travel is risky or otherwise undesirable. The autonomous vehicle is thereby encouraged to avoid these areas while satisfying other motion planning objectives.

Abstract: In some examples, an image of a scan target is presented in a user interface on a display associated with a computing device. The user interface receives at least one user input indicating at least one point in a perimeter or edge of a volume for encompassing the scan target presented in the image of the scan target. A graphical representation of the volume in relation to the image of the scan target is generated in the user interface. Information for defining a location of at least a portion of the volume in three-dimensional space is sent to an unmanned aerial vehicle (UAV) to cause, at least in part, the UAV to scan at least a portion of the scan target corresponding to the volume.

Abstract: A first message is broadcasted to a plurality of remote computers identifying an attribute of a host vehicle. A second message including a request to receive data about the identified attribute in response to broadcasting the first message is received from one of the remote computers. Upon receiving the second message, a host vehicle component is actuated to output at least one of light or sound associated with the identified attribute.