Abstract: A method for automatically controlling a following vehicle. A leading vehicle is guided along an actual trajectory, and a desired trajectory is produced for the following vehicle. The actual trajectory of the leading vehicle is captured by the following vehicle, and a trajectory similarity is determined by comparing the captured actual trajectory of the leading vehicle and the produced desired trajectory of the following vehicle. Automatic control of the following vehicle along the desired trajectory is activated if the trajectory similarity exceeds a particular value. Also disclosed is a system for automatically controlling a following vehicle using a leading vehicle.

Abstract: A system, components, and methodologies are provided for image data processing and subsequent use to detect and/or identify objects and object movement in such image data to enable assistance, automation, control and/or documentation regarding transportation vehicle movement. An affine contour filter provides the ability to extract precise sub-pixel roots of contours that represent boundaries of blobs in an image that undergoes small affine changes such as translation, rotation and scale. Thereby lateral contour tracking may be performed wherein movement of an object may be tracked within the field of view of a camera by aligning the contours associated with the object in space-time. As a result, the size and shape of the object to be tracked need not be specified ahead of time.

Abstract: A system, components, and methodologies are provided for image data processing and subsequent use to detect and/or identify objects and object movement in such image data to enable assistance, automation, control and/or documentation regarding transportation vehicle movement. An affine contour filter provides the ability to extract precise sub-pixel roots of contours that represent boundaries of blobs in an image that undergoes small affine changes such as translation, rotation and scale. Thereby lateral contour tracking may be performed wherein movement of an object may be tracked within the field of view of a camera by aligning the contours associated with the object in space-time. As a result, the size and shape of the object to be tracked need not be specified ahead of time.

Abstract: A method for carrying out an automatic drive of a vehicle along a provided trajectory which provides at least one stored trajectory for a current position of the vehicle, selects one of the provided trajectories, and carries out an automatic drive of the vehicle. A control of the vehicle provides signals for a transverse control and a longitudinal control to control the vehicle along the selected trajectory based on detected surroundings data. At least one piece of additional information is detected or received, and the selection process is additionally carried out based on the at least one piece of additional information. Also disclosed is a corresponding device.

Abstract: A method for the automated driving of a transportation vehicle to approach a parking position which includes providing a trajectory for a controller of the transportation vehicle and generating signals for controlling a movement of the transportation vehicle along the trajectory provided, wherein the provision of the trajectory includes determining a current position of the transportation vehicle by a position-determining device, setting up a communication link to a server outside the transportation vehicle by a communication device, transmitting the current determined position of the transportation vehicle to the server via the communication link, retrieving and receiving at least one trajectory, stored at the server, via the communication link, wherein the retrieved and received trajectory runs at least through a tolerance range about the current determined position of the transportation vehicle. Also disclosed is a transportation vehicle device, a method for operating a system, and an associated system.

Abstract: A method for automatic control of at least one following vehicle wherein a scout trajectory is generated for a scout vehicle, which is guided along an actual trajectory, wherein the actual trajectory of the scout vehicle and environmental data of the scout vehicle are detected by sensors of the scout vehicle. A target trajectory is generated for the following vehicle and environmental data of the following vehicle are detected by sensors of the following vehicle. The scout trajectory and environmental data of the scout vehicle are transferred to the following vehicle and, if the detected actual trajectory and the generated target trajectory each have at least a certain trajectory similarity to the generated scout trajectory and if the environmental data of the following vehicle have at least a certain environmental data similarity to the environmental data of the scout vehicle, an automatic control of the following vehicle is activated.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A method for supplying power from at least one power supply unit to transportation vehicles requiring a power supply, in which a position of a transportation vehicle-side power supply interface of a transportation vehicle requiring power is determined for each transportation vehicle and the transportation vehicle-side power supply interface is automatically coupled to a power supply interface of the power supply unit by the power supply interface of the power supply unit being moved by a robot to the transportation vehicle-side power supply interface and coupled thereto. A robot is responsible for coupling transportation vehicles to a suitable power supply interface of the power supply unit.

Abstract: A method for automatic control of at least one following vehicle wherein a scout trajectory is generated for a scout vehicle, which is guided along an actual trajectory, wherein the actual trajectory of the scout vehicle and environmental data of the scout vehicle are detected by sensors of the scout vehicle. A target trajectory is generated for the following vehicle and environmental data of the following vehicle are detected by sensors of the following vehicle. The scout trajectory and environmental data of the scout vehicle are transferred to the following vehicle and, if the detected actual trajectory and the generated target trajectory each have at least a certain trajectory similarity to the generated scout trajectory and if the environmental data of the following vehicle have at least a certain environmental data similarity to the environmental data of the scout vehicle, an automatic control of the following vehicle is activated.

Abstract: A method and system for automatically controlling at least one following vehicle, where a scout trajectory is produced for a scout vehicle and the scout vehicle is guided along the scout trajectory. Scout environmental data are captured by scout sensors and a desired trajectory is produced for the following vehicle. Following vehicle environmental data are captured by following vehicle sensors. Reference trajectory data are produced based on the scout trajectory and reference environmental data are produced based on the scout environmental data. The reference trajectory data and the reference environmental data are transmitted to the following vehicle. A trajectory similarity is determined by a trajectory comparison of the desired trajectory produced and the transmitted reference trajectory data, an environment similarity is determined by an environmental data comparison of the captured following vehicle environmental data and the transmitted reference environmental data.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

Abstract: A system and methodologies for neuromorphic (NM) vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking so as to detect and predict movement of a vehicle occupant.

Abstract: A system and methodologies for neuromorphic vision simulate conventional analog NM system functionality and generate digital NM image data that facilitate improved object detection, classification, and tracking.

Abstract: A method for the automated driving of a motor vehicle which provides environment data, detects objects in the environment data, selects a current scenario by a scenario-interpretation apparatus on the basis of the detected objects, wherein a scenario has at least one elementary situation which is assigned at least one monitoring region and an enable criterion as attributes, and in addition successively for each of the elementary situations of the current scenario, estimates a destination point, plans a trajectory to the destination point by a maneuver-planning apparatus, interrogates information about a monitoring region from the environment-perception apparatus by the scenario-interpretation apparatus, checks for the presence of the at least one enable criterion by the scenario-interpretation apparatus, and if the at least one enable criterion is satisfied, automated driving along the trajectory as far as the destination point by a controller. Also disclosed is an associated device.