Abstract: A high-voltage device (1) has a high-voltage battery (2), a first high-voltage consumer system (3), at least one second high-voltage consumer system (4), and a charging terminal (6). The high-voltage battery (2) is connected electrically to the first high-voltage consumer system (3) by a main contactor (5), and the high-voltage battery (2) is connected electrically to the charging terminal (6) by a charging contactor (7). The charging contactor (7) is connected to the main contactor (5) in parallel. A first three-point switch (8) is provided and electrically connects the second high-voltage consumer system (4).

Abstract: A method is provided for checking the plausibility of insulation monitoring of a high-voltage system (100) of an electric vehicle during the charging of a traction battery of the electric vehicle. The electrical insulation of the high-voltage system (100) is monitored by an insulation monitoring device (101), and a check is carried out cyclically to determine whether a further insulation monitoring device is active on a high-voltage bus of the high-voltage system (100).

Abstract: The present embodiments relate to automatically estimating a three-dimensional pose of an object from an image captured using a camera with a structured light sensor. By way of introduction, the present embodiments described below include apparatuses and methods for training a system for and estimating a pose of an object from a test image. Training and test images are sampled to generate local image patches. Features are extracted from the local image patches to generate feature databased used to estimate nearest neighbor poses for each local image patch. The closest nearest neighbor pose to the test image is selected as the estimated three-dimensional pose.

Abstract: A battery arrangement for a motor vehicle includes a first electrical energy store, a second electrical energy store, a charging connection, and a supply connection. The arrangement further includes first through seventh switches. The battery arrangement is switchable into four operating states via respective opening and closing of the first through seventh switches.

Abstract: An energy storage device for a motor vehicle includes a first energy store and a second energy store for storing electrical energy, a charging connection for charging the energy stores, an operating connection for operating a load on the energy storage device, and a switching device which has a plurality of switching elements and via which the energy stores can be connected selectively in series or in parallel. A fifth switching element of the switching device is permanently electrically coupled to the electrical poles of opposite polarity of the energy stores and the energy stores can be connected in series via the fifth switching element independently of the other switching elements of the switching device.

Abstract: The present embodiments relate to localizing a mobile device in a complex, three-dimensional scene. By way of introduction, the present embodiments described below include apparatuses and methods for using multiple, independent pose estimations to increase the accuracy of a single, resulting pose estimation. The present embodiments increase the amount of input data by windowing a single depth image, using multiple depth images from the same sensor, and/or using multiple depth image from different sensors. The resulting pose estimation uses the input data with a multi-window model, a multi-shot model, a multi-sensor model, or a combination thereof to accurately estimate the pose of a mobile device.

Abstract: An energy storage device for a motor vehicle includes a first energy store and a second energy store for storing electrical energy, a charging connection for charging the energy stores, an operating connection for operating a load on the energy storage device, and a switching device which has a plurality of switching elements and via which the energy stores can be connected selectively in series or in parallel. A fifth switching element of the switching device is permanently electrically coupled to the electrical poles of opposite polarity of the energy stores and the energy stores can be connected in series via the fifth switching element independently of the other switching elements of the switching device.

Abstract: In pose estimation from a depth sensor (12), depth information is matched (70) with 3D information. Depending on the shape captured in depth image information, different objects may benefit from more or less pose density from different perspectives. The database (48) is created by bootstrap aggregation (64). Possible additional poses are tested (70) for nearest neighbors already in the database (48). Where the nearest neighbor is far, then the additional pose is added (72). Where the nearest neighbor is not far, then the additional pose is not added. The resulting database (48) includes entries for poses to distinguish the pose without overpopulation. The database (48) is indexed and used to efficiently determine pose from a depth camera (12) of a given captured image.

Abstract: The present embodiments relate to automatically estimating a three]dimensional pose of an object from an image captured using a camera with a structured light sensor. By way of introduction, the present embodiments described below include apparatuses and methods for training a system for and estimating a pose of an object from a test image. Training and test images are sampled to generate local image patches. Features are extracted from the local image patches to generate feature databased used to estimate nearest neighbor poses for each local image patch. The closest nearest neighbor pose to the test image is selected as the estimated three]dimensional pose.

Abstract: The object of the invention is to realize a battery arrangement (10) in accordance with the provisions for high-voltage safety.

Abstract: A system and method includes creation of a combined network comprising an image segmentation network and an image representation network, the combined network to generate an image descriptor based on an input query image, training of the combined network based on a plurality of first images and a segmentation mask associated with each of the plurality of first images, reception of a first input query image, use of the combined network to generate an image descriptor based on the first input query image, determination of a matching image descriptor from a plurality of stored image descriptors, determination of a camera pose associated with the matching image descriptor, registration of the first input query image with image data based on the determined camera pose, generation of a composite image based on the registered first input query image and image data, and presentation of the composite image.

Abstract: A system and method includes creation of a combined network comprising an image segmentation network and an image representation network, the combined network to generate an image descriptor based on an input query image, training of the combined network based on a plurality of first images and a segmentation mask associated with each of the plurality of first images, reception of a first input query image, use of the combined network to generate an image descriptor based on the first input query image, determination of a matching image descriptor from a plurality of stored image descriptors, determination of a camera pose associated with the matching image descriptor, registration of the first input query image with image data based on the determined camera pose, generation of a composite image based on the registered first input query image and image data, and presentation of the composite image.

Abstract: The present embodiments relate to localizing a mobile device in a complex, three-dimensional scene. By way of introduction, the present embodiments described below include apparatuses and methods for using multiple, independent pose estimations to increase the accuracy of a single, resulting pose estimation. The present embodiments increase the amount of input data by windowing a single depth image, using multiple depth images from the same sensor, and/or using multiple depth image from different sensors. The resulting pose estimation uses the input data with a multi-window model, a multi-shot model, a multi-sensor model, or a combination thereof to accurately estimate the pose of a mobile device.

Abstract: The present disclosure includes systems and methods for detecting an anomaly in crowd behavior. The method includes receiving sensor data representing a crowd, and partitioning the sensor data into local areas forming neighborhoods. The method further includes, for each local area, characterizing motion in the local area to determine real-time estimates of motion of sub-populations based on the sensor data, providing a crowd model for each local area, representing continuous functions describing expected motion near each local area, and determining parametric values of the crowd model based on the real-time estimates of the motion of the sub-populations.

Abstract: The present disclosure includes systems and methods for detecting an anomaly in crowd behavior. The method includes receiving sensor data representing a crowd, and partitioning the sensor data into local areas forming neighborhoods. The method further includes, for each local area, characterizing motion in the local area to determine real-time estimates of motion of sub-populations based on the sensor data, providing a crowd model for each local area, representing continuous functions describing expected motion near each local area, and determining parametric values of the crowd model based on the real-time estimates of the motion of the sub-populations.