Parking spot detection methods and systems that detect and pair parking line markers, improving the accuracy and speed of parking spot detection in vehicular driver assist (DA) and autonomous driving (AD) applications. These methods and systems incorporate three major steps: (1) preprocessingone or more standard camera images are input into the algorithm and a bird's-eye-view (BEV) image is output from the algorithm; (2) deep neural network (DNN) segmentation of the parking line markersthe BEV image is input into the algorithm and a binary image is output from the algorithm (with, e.g., the parking line markers areas displayed in white and the background displayed in black); and (3) binary image processingthe binary image is input into the algorithm and detected and paired parking line markers representing the parking spots are output from the algorithm.

An adhered substance detection apparatus determines whether a substance is adhered to an image-capturing apparatus. The adhered substance detection apparatus includes a controller configured to function as: an extractor that extracts candidate regions for being an adhered substance region in which the substance is adhered to the image-capturing apparatus, the candidate regions being extracted based on an edge that is detected from pixels in an image captured by the image-capturing apparatus; and a final determiner that finally determines whether the candidate regions are the adhered substance region, based on i) an area of the candidate region located in a first region of the captured image, the first region including a road surface region in the captured image and ii) an area of the candidate region located in a second region of the captured image, the second region including a region other than the road surface region in the captured image.

Aspects described herein may allow for vehicle tracking. Systems and methods described herein may allow a vehicle to automatically detect the presence of a physical marker at a parking space. An image of the physical marker may be processed to determine the location of the vehicle, which may be stored and/or output for display.

Provided is a system for controlling a detecting distance of an ultrasonic sensor based on ground recognition. The system includes: an ultrasonic sensor provided in a vehicle and configured to, when driven, recognize an object in front of or behind the vehicle; an image capturing unit configured to capture an image of a detection area of the ultrasonic sensor; a ground type recognizer configured to recognize a ground type corresponding to the detecting area of the ultrasonic sensor using the image acquired through the image capturing unit; and a sensing threshold changer configured to, when a travelling speed of the vehicle satisfies a preset condition, change a sensing threshold of the ultrasonic sensor according to the recognized ground type.

Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Provided is a technology that allows, inter alia, two different patrol-vehicles to be used to enforce parking regulations. Unique systems and methods, inter alia, allow a patrol vehicle or the like to collect parking data pertaining to parked vehicles, and to wirelessly transmit such parking data to a server. A later patrol vehicle or the like can wirelessly receive parking data related to parking events related to its parking enforcement situation and determine whether parking violations, such as overtime or permit sharing violations, are occurring using a combination of parking data generated locally and extraneous parking data collected by the previous patrol vehicle.

Embodiments are directed towards the interpretation of driver intent and communication of that intent with autonomous vehicles at a traffic intersection. A computing device that sits on the dashboard of a vehicle includes at least one camera, an output device, and circuitry. The computing device captures first images of the driver in the vehicle and second images of the traffic intersection. The computing device identifies another vehicle at or approaching the intersection based on an analysis of the second images. The computing device determines an attention direction and hand movement of the driver based on an analysis of the first images to determine a driving intent of the driver. The computing device provides information to the other vehicle indicating the driving intent of the driver. The computing device may also obtain the driving intent of the other vehicle and provide information to the driver indicating the other vehicle's intent.

An image processing apparatus includes a computer, a memory, and a program stored in the memory that, when executed by the computer, causes the computer to perform acquiring an image obtained by capturing a parking lot including a plurality of parking regions capable of parking a plurality of automobiles, deciding, for the image, a determination target region for each of the plurality of parking regions so as to exclude a shielded region that is shielded by an automobile in a case in which the automobile is parked in another parking region, and detecting, from the image, an automobile in each determination target region, and determining, based on a result of the detection, the presence/absence of parking of an automobile in each of the plurality of parking regions.

Methods, apparatuses, device, and storage media for autonomous parking are provided. A method for autonomous parking includes determining a recommended driving route for autonomous parking; determining a position of a vehicle in the recommended driving route; determining whether the position of the vehicle is in a first road environment; and in response to determining that the vehicle is in the first road environment, determining a driving trajectory point of the vehicle in the first road environment based on the acquired image information of the first road environment and according to a pre-trained driving model.