A method for operating a first vehicle (100) with a parking assistance system (110) is proposed, comprising: a) sensing an obstructing parked position (BP) of the first vehicle (100) by means of the parking assistance system (110), wherein the obstructing parked position (BP) is a parked position which adjoins a parking space (PP) occupied by a parked second vehicle (150), b) reception of a sensor signal, acquired by a sensor apparatus (120, 130) of the vehicle (100), by means of the parking assistance system (110), c) detecting a request to exit a parking space of the parked second vehicle (150) in accordance with the received sensor signal by means of the parking assistance system (110), and d) autonomously driving the first vehicle (100) from the obstructing parked position (BP) into a position which is different from the obstructing parked position (BP) in accordance with the detected request to exit a parking space by means of the parking assistance system (110).

Example data processing methods and apparatus are provided. One example method includes obtaining an image captured by an in-vehicle camera. A to-be-detected target in the image is determined. A feature region corresponding to the to-be-detected target in the image is further determined based on a location of the to-be-detected target in the image. A first parking state is determined based on the image and wheel speedometer information. A first homography matrix corresponding to the first parking state is determined from a prestored homography matrix set, where different parking states correspond to different homography matrices. Image information of the feature region is processed based on the first homography matrix to obtain a detection result.

The invention relates to a parking assistance system for an ego vehicle (1), comprising a control device (2) for controlling a parking procedure, in which the ego vehicle (1) is guided to a target position within a parking space (10), the control device (2) can access sensors for environment detection and, on the basis of the sensor data, can determine a parking space (10) by identifying objects (10a, 11, 12, 13) surrounding the parking space (10), wherein the control device (2) is designed to specify a first minimum distance and a second minimum distance of the ego vehicle (1) from surrounding objects (10a, 11, 12, 13), the control device (2) is furthermore designed to specify, on the basis of the first minimum distance, a first parking region (14) and, on the basis of the second minimum distance, a second parking region (15), and the control device (2) determines the target position by specifying said position within the first and/or the second parking region (14, 15).

A method for data processing, an electronic device, and a computer-readable storage medium, which relate to the field of computers. The method includes: acquiring a scheduling information for a perception model based on a user application; determining, based on the scheduling information for the perception model, a scheduling set of the perception model, where the scheduling set of the perception model comprises one or more sub-models of a plurality of sub-models of the perception model; and running, based on perception data from a data collection device, the one or more sub-models of the scheduling set of the perception model, so as to output one or more perception results corresponding to the one or more sub-models.

The present disclosure provides a route processing method and apparatus. The solution includes: acquiring an initial traveling route, which includes a plurality of track points, corresponding to a vehicle; determining a vehicle traveling area, which includes an area where the vehicle is located when traveling to the track point, corresponding to each track point; determining at least one target track point in the plurality of track points according to the vehicle traveling area, where a first obstacle exists in the vehicle traveling area; performing updating processing on a position of each target track point in the initial traveling route respectively according to the position of the each target track point and a position of the first obstacle, and obtaining a target traveling route according to the target track point for which the updating processing has been performed; and controlling the vehicle to travel according to the target traveling route.

A method for performing automatic valet parking, which includes selecting a road scenario applicable to a roadway; notifying a driver to release manual control elements of a motor vehicle and to leave the motor vehicle; checking whether the control elements have been released and the driver has left the motor vehicle and, in this case, entering an EXPLORE mode in which the motor vehicle is slowly driven autonomously and searches for a free car space or a parking space using the vehicle's own environmental sensors, before the motor vehicle is placed in a parking position; and then to change from the EXPLORE mode to a PARKING mode in which the motor vehicle is parked in the car space or in the parking space from the parking position by means of the longitudinal and lateral controllers and using the environmental data previously obtained from the environmental sensors in the EXPLORE mode.

A digital map of a transport vehicle for transporting vehicles includes one or more digital reference locations that are respectively associated with real reference locations of the transport vehicle. A method includes: ascertaining respective reference coordinates of the real reference locations relative to a reference coordinate system, so that the ascertained reference coordinates are associated with the corresponding digital reference locations; deriving respective coordinates of further digital locations of the digital map from the reference coordinates of the reference locations based on a derivation protocol, so that coordinates relative to the reference coordinate system are respectively associated with the further digital locations, so that an edited digital map of the transport vehicle is created, in which map coordinates relative to the reference coordinate system are associated with the digital locations.

A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.

A vehicular vision system includes a camera, a distance sensor and a controller having at least one processor. Image data captured by the camera and sensor data captured by the distance sensor are processed at the controller. The controller, responsive to processing of captured image data and of captured sensor data, detects an object. The controller determines the distance to the detected object based at least in part on difference between the positions of the detected object in captured image data and in captured sensor data. The controller, responsive to processing of captured image data and of captured sensor data, and responsive to the determined distance to the detected object, determines that the detected object represents a collision risk. The controller alerts a driver of the vehicle of the collision risk and/or controls the vehicle to mitigate the collision risk.

A system includes a first-vehicle processor configured to receive a signal broadcast from a second vehicle. The processor is also configured to determine a distance between a first transceiver, receiving the signal, and a second transceiver, transmitting the signal. The processor is further configured to determine second vehicle dimensions. Also, the processor is configured to digitally map a second vehicle perimeter around a second transceiver location, determined based on the distance and alert a first vehicle driver of a likely overlap condition of the second vehicle perimeter and a first vehicle perimeter.