Abstract: A method may include receiving a first transaction inserting a record into a database and a second transaction deleting the record from the database. A validity period for the record may be determined based on a first commit time at which the first transaction is committed and a second commit time at which the second transaction is committed. A current table and/or a history table of a system versioned table may be updated to include the record based on the validity period of the record. One or more temporal operations may be performed based on the system versioned table. For example, a time travel operation may be performed to retrieve, based on the system versioned table, one or more records that are valid at a given point in time. Related systems and computer program products are also provided.

Abstract: Example embodiments relate to an ADAS sensor data processing unit, to an ADAS sensor system and to an ADAS sensor data evaluation method for use in driver assistance systems or systems for the automated driving of a vehicle. The ADAS sensor data processing unit includes an input interface, a decompression module, a processing unit and an output unit. The input interface is designed to receive data of an ADAS sensor that have been subjected to lossy compression by a compression module. The decompression module is designed to decompress the compressed data of the ADAS sensor. The processing unit is designed to process the decompressed data (IdSD) of the ADAS sensor, information relevant to an ADAS/AD function being ascertained from the decompressed sensor data. The output unit is designed to output the ascertained information relevant to the ADAS function.

Abstract: A device is configured to classify data. Its operation involves providing (210) data samples including one or more of: image data, radar data, acoustic data, and/or lidar data to a processing unit. The data samples include at least one test sample, including positive samples and negative samples. Each positive sample has been determined to contain data relating to at least one object to be detected including at least one pedestrian, car, vehicle, truck or bicycle. Each negative sample has been determined not to contain data relating to the at least one object to be detected. These determinations regarding the positive samples and the negative samples are provided as input data, validated by a human operator, and/or provided by the device itself through a learning algorithm. A first plurality of groups is generated (220) by the processing unit implementing an artificial neural network, wherein at least some of the first plurality of groups are assigned a weighting factor.

Abstract: Example embodiments relate to an ADAS sensor data processing unit, to an ADAS sensor system and to an ADAS sensor data evaluation method for use in driver assistance systems or systems for the automated driving of a vehicle. The ADAS sensor data processing unit includes an input interface, a decompression module, a processing unit and an output unit. The input interface is designed to receive data of an ADAS sensor that have been subjected to lossy compression by a compression module. The decompression module is designed to decompress the compressed data of the ADAS sensor. The processing unit is designed to process the decompressed data (IdSD) of the ADAS sensor, information relevant to an ADAS/AD function being ascertained from the decompressed sensor data. The output unit is designed to output the ascertained information relevant to the ADAS function.

Abstract: Various embodiments of the teachings herein include a method for training and updating a backend-side classifier comprising: receiving, in a backend-device, from at least one vehicle, classification data along with a respective classification result generated by a vehicle-side classifier; and training the backend-side classifier using the classification data and, if available, a corrected respective classification result as annotation.

Abstract: A method for the three-dimensional graphic or pictorial reconstruction of a vehicle begins with capturing an image of at least one vehicle with a camera. A first rectangular border of the entire vehicle is captured in the image, to obtain a first rectangle. A second rectangular border of one side of a vehicle is captured in the image, to obtain a second rectangle, and it is determined whether the first and second rectangles are borders which relate to the same vehicle. If so, then it is determined whether a side orientation of the vehicle can be assigned from the two rectangles and, if so, the side orientation is determined. Finally, a three-dimensional reconstruction of the vehicle is performed from the first rectangle, the second rectangle and the side orientation.

Abstract: Various embodiments of the teachings herein include a method for training and updating a backend-side classifier comprising: receiving, in a backend-device, from at least one vehicle, classification data along with a respective classification result generated by a vehicle-side classifier; and training the backend-side classifier using the classification data and, if available, a corrected respective classification result as annotation.

Abstract: A camera device includes an optronics system and an image capture control unit, for acquiring a sequence of images of a surrounding region of a vehicle. The optronics system includes a wide-angle optical system and a high-resolution image acquisition sensor. The optronics system and the image capture control unit are configured to generate a reduced-resolution binned image of the entire capture region of the optronics system, or to capture an unbinned high-resolution image of a subregion of the capture region, respectively for each individual image of the sequence of images, depending on a current traffic and/or surrounding situation. A height and a width of the subregion are set depending on the current situation. A size of the subregion is set such that the pixel count of the high-resolution image of the subregion is no greater than the pixel count of the reduced-resolution image of the entire capture region.

Abstract: A method for the three-dimensional graphic or pictorial reconstruction of a vehicle begins with capturing an image of at least one vehicle with a camera. A first rectangular border of the entire vehicle is captured in the image, to obtain a first rectangle. A second rectangular border of one side of a vehicle is captured in the image, to obtain a second rectangle, and it is determined whether the first and second rectangles are borders which relate to the same vehicle. If so, then it is determined whether a side orientation of the vehicle can be assigned from the two rectangles and, if so, the side orientation is determined. Finally, a three-dimensional reconstruction of the vehicle is performed from the first rectangle, the second rectangle and the side orientation.

Abstract: A device is configured to classify data. Its operation involves providing (210) data samples including one or more of: image data, radar data, acoustic data, and/or lidar data to a processing unit. The data samples include at least one test sample, including positive samples and negative samples. Each positive sample has been determined to contain data relating to at least one object to be detected including at least one pedestrian, car, vehicle, truck or bicycle. Each negative sample has been determined not to contain data relating to the at least one object to be detected. These determinations regarding the positive samples and the negative samples are provided as input data, validated by a human operator, and/or provided by the device itself through a learning algorithm. A first plurality of groups is generated (220) by the processing unit implementing an artificial neural network, wherein at least some of the first plurality of groups are assigned a weighting factor.

Abstract: The invention relates to a camera device for capturing a surrounding region of an ego-vehicle. The camera device comprises an optronics system and an image capture control unit, which are configured to acquire a sequence of images of the surrounding region. The optronics system comprises a wide-angle optical system and a high-resolution image acquisition sensor.

Abstract: An object-recognition method for a vehicle's driver assistance system involves obtaining a 2D image and a 3D image, forming a 3D apparent object from the 3D image, detecting one or more detected objects in a portion of the 2D image corresponding to the apparent object from the 3D image, classifying the one or more detected objects into at least one pre-defined object class, and dividing the apparent object into at least two 3D objects when the apparent object does not correspond with at least one class-specific property of the determined at least one object class.

Abstract: The invention relates to a method and a device for detecting objects. The method comprises the following steps: forming at least one object from a depth image of a 3D camera evaluating and classifying the one or more objects (2, 3) in a 2D image (5) which corresponds to the at least one formed object in the depth image (1), possibly dividing the at least one object (1) formed from the depth image into a plurality of individual objects (2, 3) while taking into account the classification of the one or more objects (2, 3) in the 2D image (5). The method and the device can be used in particular within the framework of a driver assistance system for detecting objects in a vehicle environment.

Abstract: Systems and methods for conducting one or more surveys are provided herein. In certain embodiments, one or more participants may be identified to take part in a survey. Each of the participants may be associated with a respective user computing device. The user computing devices may present each of the participants with content to rate and/or review. In this manner, each of the participants may provide a review and/or rating of the content via the user computing devices. Further, based at least in part on the review and/or rating of the content, a survey profile of the content may be determined.

Abstract: Systems and methods for conducting one or more surveys are provided herein. In certain embodiments, one or more participants may be identified to take part in a survey. Each of the participants may be associated with a respective user computing device. The user computing devices may present each of the participants with content to rate and/or review. In this manner, each of the participants may provide a review and/or rating of the content via the user computing devices. Further, based at least in part on the review and/or rating of the content, a survey profile of the content may be determined.

Abstract: A method for regulating the velocity of a motor vehicle in a complex traffic situation is presented. The motor vehicle is equipped with a sensor system for recording the environment. In order to regulate the velocity, an at least partially covered object and/or at least one object on an adjacent lane is viewed.

Abstract: The invention relates to a method for determining a speed of a vehicle (1), whereby at least two images (A, B) of an area surrounding the vehicle are recorded in time succession using a camera on the vehicle (1), and between the images (A, B) changes (2) in a position and/or a size of at least one object (X) contained in the images (X) are determined, and from the changes, a speed of the vehicle (1) is determined relative to the object (X).

Abstract: A method for regulating the velocity of a motor vehicle in a complex traffic situation is presented. The motor vehicle is equipped with a sensor system for recording the environment. In order to regulate the velocity, an at least partially covered object and/or at least one object on an adjacent lane is viewed.

Abstract: The invention relates to a method for determining a speed of a vehicle (1), whereby at least two images (A, B) of an area surrounding the vehicle are recorded in time succession using a camera on the vehicle (1), and between the images (A, B) changes (2) in a position and/or a size of at least one object (X) contained in the images (X) are determined, and from the changes, a speed of the vehicle (1) is determined relative to the object (X)

Abstract: The invention provides diagnostic methods, kits, and systems, and related computer-readable media, which use multiple blood marker values, including serum and plasma marker values, to aid in the diagnosis of the status or progress of a liver disease in a patient. The invention also provides methods and systems, and related computer-readable media, that use blood marker values, including serum and plasma marker values: (1) to screen for active ingredients useful in the treatment of a liver disease; (2) to aid in the selection of treatment regimens for patients that are predisposed to, or suffer from, liver disease; and (3) to aid in the design of clinical programs useful in monitoring the status or progress of liver disease in one or more patients.