Abstract: A rack system for a cargo space of a commercial vehicle having a rack with at least one shelf and at least one adjusting device for adjusting the shelf about a pivot axis extending in the width direction of the rack between a loading and unloading setting and a transport setting, In order to provide a rack system that can be used more efficiently and more ergonomically, the adjusting device is designed in such a way that a tilt angle of the shelf in the transport setting is greater than in the loading and unloading setting, and a load surface of the shelf in the transport setting faces away from an access side of the rack.

Abstract: A rack system for a cargo space of a commercial vehicle is provided having a rack with at least one shelf and a movement device for moving the rack between a transport position, in which the rack can be arranged completely in the cargo space, and an access position, in which the rack can be arranged at least partially outside the cargo space. In order to provide a rack system which can be used more efficiently in respect of available cargo space, the rack system has a receiving unit for at least partially receiving at least one cargo item which can be arranged in the rack, wherein the receiving unit is arranged on the shelf so as to be displaceable in a depth direction of the rack.

Abstract: A method for forming a vehicle component is provided. The method may include heating a blank of 36MnB5 in a furnace to an austenitization temperature, stamping the blank with a die assembly to form a vehicle component and change a microstructure of the blank from austenite to martensite, and responsive to a temperature of the vehicle component being at or below 130° C., removing the vehicle component from the die assembly such that the vehicle component has a yield strength equal to or greater than 1400 MPa. The blank may be retained within the die assembly for a quench time of between five and eleven seconds following the stamping. The method may further include thermo-stabilizing a surface of the die assembly to a predetermined temperature. The stamping may further include applying a pressure of approximately 10 N/mm2 to the blank.

Abstract: A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.

Abstract: An automobile having a cargo space, a rear door opening for accessing the cargo space and a door pillar which delimits the rear door opening. The vehicle has a rack which in a stowed state is arranged entirely in the cargo space and is at least partially concealed by the door pillar as viewed from outside the automobile in the direction of the vehicle longitudinal axis of the automobile, and in a deployed state is arranged at least partially outside the cargo space. The vehicle has a transfer mechanism to transfer the rack between the stowed state and the deployed state via the rear door opening, wherein the transfer mechanism is configured such that, during a transfer of the rack from the stowed state into the deployed state, the rack moves inward in the direction of the vehicle transverse axis of the automobile.

Abstract: Systems can be configured for detecting license plates and recognizing characters in license plates. In an example, a system can receive an image and identify one or more regions in the image that include a license plate. Character recognition can be performed in the one or more regions to determine contents of a candidate license plate. Location-specific information about a license plate format can be used together with the determined contents of the candidate license plate to determine if the recognized characters are valid.

Abstract: A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.

Abstract: A method of quenching a press hardenable steel (PHS) is provided. The method includes preparing a die having a material with a thermal conductivity of at least 40W/(m·K) and placing a blank within the die and simultaneously hot stamping and quenching the blank at a heat transfer coefficient of at least 2,950W/(m2·K). In one form, the step of hot stamping the blank is carried out with greater than 20 MPa of contact pressure between the die and the blank. In another form, the step of hot stamping the blank is carried out with 31 MPa of contact pressure between the die and the blank.

Abstract: A hot-forming line for producing hot-formed and press-quenched sheet-steel products includes a temperature control station for heating at least one sheet-metal blank, a hot-forming and press-quenching tool for hot forming and press quenching the heated sheet-metal blank and at least one blank gripper for gripping and transferring the sheet-metal blank before and/or after hot forming and press quenching. The at least one blank gripper forms at least one contact region with the sheet-metal blank during the gripping of the sheet-metal blank. Also, the at least one blank gripper is configured to cool the sheet-metal blank in the at least one contact region during gripping and transfer of the sheet-metal blank before hot forming and press quenching and/or heat the sheet-metal blank in the at least one contact region during gripping and transfer after hot forming and press quenching.

Abstract: A method of manufacturing a tool part of a forming tool. The method includes forming a tool element of the tool part having a shape-imparting operating face and at least one first cooling duct for cooling a liquid using an additive manufacturing machine. The first cooling duct has at least one rectifier portion including a blocking direction and an opposing passing direction. The blocking direction has a higher flow resistance to cooling liquid than the passing direction.

Abstract: A system for detecting license plates is described. The system receives raw data comprising images of license plates. A base version of a ground truth is prepared based on the raw data, using a generic license plate detection (LPD). The system prepares input data for training a deep learning network. The deep learning network is trained with the prepared input data. A newly trained generic (LPD) is formed using data generated by the existing generic (LPD).

Abstract: A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.

Abstract: A system for detecting license plates is described. The system receives raw data comprising images of license plates. A base version of a ground truth is prepared based on the raw data, using a generic license plate detection (LPD). The system prepares input data for training a deep learning network. The deep learning network is trained with the prepared input data. A newly trained generic LPD is formed using data generated by the existing generic LPD.

Abstract: Systems can be configured for detecting license plates and recognizing characters in license plates. In an example, a system can receive an image and identify one or more regions in the image that include a license plate. Character recognition can be performed in the one or more regions to determine contents of a candidate license plate. Location-specific information about a license plate format can be used together with the determined contents of the candidate license plate to determine if the recognized characters are valid.

Abstract: A hot-forming line for producing hot-formed and press-quenched sheet-steel products includes a temperature control station for heating at least one sheet-metal blank, a hot-forming and press-quenching tool for hot forming and press quenching the heated sheet-metal blank and at least one blank gripper for gripping and transferring the sheet-metal blank before and/or after hot forming and press quenching. The at least one blank gripper forms at least one contact region with the sheet-metal blank during the gripping of the sheet-metal blank. Also, the at least one blank gripper is configured to cool the sheet-metal blank in the at least one contact region during gripping and transfer of the sheet-metal blank before hot forming and press quenching and/or heat the sheet-metal blank in the at least one contact region during gripping and transfer after hot forming and press quenching.

Abstract: A method of quenching a press hardenable steel (PHS) is provided. The method includes preparing a die having a material with a thermal conductivity of at least 40W/(m·K) and placing a blank within the die and simultaneously hot stamping and quenching the blank at a heat transfer coefficient of at least 2,950W/(m2·K). In one form, the step of hot stamping the blank is carried out with greater than 20 MPa of contact pressure between the die and the blank. In another form, the step of hot stamping the blank is carried out with 31 MPa of contact pressure between the die and the blank.

Abstract: A method for forming a vehicle component is provided. The method may include heating a blank of 36MnB5 in a furnace to an austenitization temperature, stamping the blank with a die assembly to form a vehicle component and change a microstructure of the blank from austenite to martensite, and responsive to a temperature of the vehicle component being at or below 130° C., removing the vehicle component from the die assembly such that the vehicle component has a yield strength equal to or greater than 1400 MPa. The blank may be retained within the die assembly for a quench time of between five and eleven seconds following the stamping. The method may further include thermo-stabilizing a surface of the die assembly to a predetermined temperature. The stamping may further include applying a pressure of approximately 10 N/mm2 to the blank.

Abstract: A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.

Abstract: A micro-alloyed manganese-boron steel includes about 0.25 to 0.4 wt. % carbon, about 0.5 to 2.7 wt. % manganese, about 0.001 to 0.005 wt. % boron, about 0.1 to 0.8 wt. % silicon, about 0.1 to 0.6 wt. % chromium, molybdenum and nickel, and about 0.01 to 0.06 wt. % aluminum, niobium and titanium. The balance is iron, and the steel is a micro-alloyed material for hot stamping of automotive parts.

Abstract: Porous partially fluorinated materials which bind aliphatic and aromatic hydrocarbons, fluorocarbons and freons with high weight adsorption capacities are provided. Such compounds may be used in separation of materials by exclusion such as selective separation of isomers of xylene.