Enhancing situational awareness of an advanced driver assistance system in a host vehicle can be provided by acquiring, with an image sensor, an image data stream comprising a plurality of image frames. Analyzing A vision processor can analyze the image data stream to detect objects, shadows and/or lighting in the image frames. Recognizing A situation recognition engine can recognize at least one most probable traffic situation out of a set of predetermined traffic situations taking into account the detected objects, shadows and/or lighting. A processor can then control the host vehicle taking into account the at least one most probable traffic situation.

A vehicular driver assistance system includes a propulsion selection sensor operable to provide an output representative of a current direction of propulsion of a vehicle. The system, responsive to the output, determines an entry propulsion direction used by the vehicle to enter a parking space. The system stores the determined entry propulsion direction used by the vehicle to enter the parking space. The system, responsive to the vehicle preparing to exit the parking space, determines an exit propulsion direction of the vehicle. The system compares the stored determined entry propulsion direction used by the vehicle to enter the parking space and the exit propulsion direction of the vehicle. The system, responsive to determining that the stored determined entry propulsion direction used by the vehicle to enter the parking space is the same as the exit propulsion direction of the vehicle, provides an alert to a driver of the vehicle.

A driving assistance device for a vehicle includes a traveling environment recognizer, a parking space detector, an evaluation value calculator, and a parking space setter. The traveling environment recognizer is configured to recognize traveling environment information related to an outside of the vehicle. The parking space detector is configured to, in a case where the vehicle has entered a parking lot, detect one or more parking spaces available to the vehicle based on the traveling environment information. The evaluation value calculator is configured to calculate one or more evaluation values for the one or more parking spaces, each of the one or more evaluation values including an exit hindrance factor as an evaluation item. The parking space setter is configured to select, with priority, a parking space for parking the vehicle from among the one or more parking spaces. The evaluation value of the parking space is relatively high.

A parking enforcement system includes an autonomous vehicle that is equipped with an image capture device that is configured to capture images of license plates of parked vehicles while the autonomous vehicle moves through a parking zone. The system will process the images to extract license plate numbers from the images. The system will correlate the license plate numbers with data in a parking enforcement database to determine whether the license plate numbers are associated with an unexpired parking transaction. For any license plate number that is not subject to an unexpired parking transaction, the system may initiate an enforcement action. For any license plate number that is subject to an unexpired parking transaction, the system may not initiate an enforcement action.

In a tilt parking mode, “a target parking position” can be accurately determined without changing a camera tilt angle and an HMI display range, and can be notified to a driver, so that the usability can be improved. A parking support device includes an external field recognition unit such as a camera and a sonar, which recognizes an external field, an information holding unit which holds information of a parking frame line recognized by the external field recognition unit, a parking region extraction unit which extracts a parking region from information of the parking frame line, a parking position determination unit which determines a target parking position from the parking region, and a path calculation unit which calculates a parking path from a current position of an own vehicle up to the target parking position. In a case where part of the parking frame line is not recognized by the camera, the target parking position is defined on the basis of lines connecting an end point of the parking frame line on a rear side of the own vehicle, a virtually extending line of the parking frame line on a front side of the own vehicle, and a point intersecting with the virtual line on a front side of the vehicle from the end point of the parking frame line on the rear side of the own vehicle.

A parking assistance method is provided. The method includes recognizing image features of a traffic line corresponding to a parking position of a vehicle. A category of the parking position of the vehicle is determined based on the image features of the traffic line. Once the vehicle is determined to be parking illegally based on the category of the parking position of the vehicle; a warning is issued.

To determine a path through a pose configuration space, trajectories of poses may be evaluated in parallel based at least on translating the trajectories along at least one axis of the pose configuration space (e.g., an orientation axis). A trajectory may include at least a portion of a turn having a fixed turn radius. Turns or turn portions that have the same turn radius and initial orientation can be translatively shifted along and processed in parallel along the orientation axis as they are translated copies of each other, but with different starting points. Trajectories may be evaluated based at least on processing variables used to evaluate reachability as bit vectors with threads effectively performing large vector operations in synchronization. A parallel reduction pattern may be used to account for dependencies that may exist between sections of a trajectory for evaluating reachability, allowing for the sections to be processed in parallel.

An information providing system includes an onboard device and a server that transmits information to and receives information from the onboard device. The onboard device includes a condition setting unit that acquires a destination and an output mode and transmits the acquired destination and the acquired output mode to the server. The onboard device further includes an output unit that outputs parking lot recommendation information which is received from the server. The server includes a storage unit that stores parking lot information including position information of parking lots and parking fees which are detected from a captured image of the parking lots. The server further includes an information providing unit that prioritizes parking lots which are located within a predetermined range from the destination based on the output mode provides the parking lot information of the prioritized parking lots as the parking lot recommendation information to the onboard device.

A system includes a processor and a memory storing instructions that, when executed by the processor cause the system to generate a machine learning model; generate an artificial neural network; analyze an image of a parking area using a spot detection machine learning model; analyze the image of the parking area using a vehicle detection machine learning model; and classify a parking space as available when an area of intersection does not exceed a predetermined value. A method includes analyzing an image of a parking area using a first machine learning model; analyzing the image of the parking area using second machine learning model; and classifying a parking space as available when an area of intersection does not exceed a predetermined value. A method includes generating a spot detection machine learning model; and generating, by analyzing a plurality of labeled images, an artificial neural network.

A control device for automated valet parking lot includes: a travel route determining unit configured to determine a travel route to a parking space; a travel route transmission unit configured to transmit the travel route to a vehicle; a position acquiring unit configured to acquire, from the vehicle, a position of the vehicle that is estimated by the vehicle while traveling; and a positional accuracy calculation unit configured to calculate a dynamic estimation accuracy, which is an accuracy of the position of the vehicle acquired by the position acquiring unit from the vehicle while the vehicle is travelling, prior to performing automated driving of the vehicle in accordance with the travel route.