A method for providing assistance in a parking maneuver of a vehicle combination of towing vehicle and trailer. The method includes: detecting a stationary object with the aid of a backup camera of the towing vehicle; ascertaining that the object is concealed for the backup camera by the trailer; and superimposing an image element representing the concealed object onto an image of the trailer in an image ascertained by the backup camera.

A method of parking space classification includes receiving a command, analyzing an image using spot and vehicle detection machine learning models, calculating an intersection, and classifying a spot as available when the intersection does not exceed a value. A parking space classification system includes a processor and a memory storing instructions that, when executed by the processor, causes a server to receive a command, analyze an image using spot and vehicle detection machine learning models, calculate an intersection, and classify a spot as available when the intersection does not exceed a value. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive a command, analyze an image using spot and vehicle detection machine learning models, calculate an intersection, and classify a spot as available when the intersection does not exceed a value.

A vehicle control device includes a parking space candidate detection unit configured to detect a parking space candidate that is a candidate for a parking space where an own vehicle is parked, using a vehicle peripheral image acquired from a camera; a leaving path detection unit configured to detect, using the vehicle peripheral image, a leaving path on which another vehicle that is parked in an other vehicle parking space located in a periphery of the parking space candidate leaves the other vehicle parking space; and a nuisance parking determination unit configured to perform nuisance parking determination including determining, for each detected parking space candidate, whether the parking space candidate overlaps with the detected leaving path, and thereby classifying the parking space candidate into a nuisance parking space that overlaps with the leaving path or a non-nuisance parking space that avoids overlapping with the leaving path.

A periphery monitoring device includes: an acquisition unit configured to acquire a captured image from an imaging unit that captures an image of a periphery of a vehicle and positional information regarding an attention area set around the vehicle; and a controller configured to superimpose and display an own vehicle image showing a position of the vehicle and an indicator indicating a position of the attention area based on the positional information on a peripheral image as a bird's-eye view image based on the captured image, and to perform display such that a display mode of the indicator changes over time.

Methods and systems are provided for a fluid leak diagnostic. In one example, a method may include intrusively increasing a fluid pump displacement to determine if an internal fluid leak is occurring. The method may further include adjusting a parking routine to determine if an external fluid leak is occurring.

A method of instance segmentation, comprising, defining a bounding box, depth mapping the bounding box, sorting the depth map, estimating stability due to noise of the sorted depth map, detecting low frequency jumps of the sorted depth map based on the estimated stability, detecting high frequency jumps of the sorted depth map, comparing the detected low frequency jumps and the detected high frequency jumps, detecting at least one of a largest object and a closest object based on the comparison and pixel masking the at least one of the largest object and the closest object.

Provided is a method and system that includes an imaging device to be disposed in a lighting fixture to capture images, a remote computing device in communication with the imaging device, and comprising at least one processor. The processor is capable of processing data related to images from the at least one imaging device and from a satellite imagery system, performing comparison operation by detecting a first set of points of interest in an image from the at least one imaging device and corresponding second set of points of interest in an image of a same area from the satellite imagery system, and calculating a homography matrix by matching the first set of points of interests in the image from the at least one imaging device and the second set of points of interest in the image from the satellite imagery system, to determine latitude and longitude coordinates of the image from the imaging device.

An image processing device includes: a solid object extraction unit that divides each of a plurality of captured images into a foreground image part occupied by an existent object and a background image part; a background complementing unit that complements each background image part; a background image synthesis unit that generates a background bird's eye synthetic image by performing bird's eye transformation and combining together the background image parts after undergoing the bird's eye transformation; a solid object recognition unit that acquires posture information on the existent object; a solid object projection unit that acquires a three-dimensional virtual object by using the posture information; a three-dimensional space superimposition unit that generates a three-dimensional space image by superimposing the three-dimensional, virtual object on the background bird's eye synthetic image; and a display image output unit that outputs a bird's eye synthetic image generated based on the three-dimensional space image.

An image processing device used on a mobile body has: a determiner configured to determine one out of a plurality of combination patterns as to the presence or absence of an object in a plurality of predetermined regions around the mobile body; and a generator configured to generate a composite image by projecting onto a virtual projection surface a plurality of shot images acquired by a plurality of cameras taking images of the surroundings of the mobile body. The generator is configured to select, out of a plurality of projection surfaces prepared beforehand, the projection surface used in generating the composite image in accordance with the combination pattern determined by the determiner.

A recording medium records an information processing program for causing a computer to execute processing including: acquiring an image from an imaging device provided in a first moving body; estimating a self-position of the first moving body by a first algorithm based on the image; generating a first point group that indicates a three-dimensional shape around the first moving body; generating a second point group that indicates the three-dimensional shape by a second algorithm based on data used in the first algorithm; merging the first point group and second point group so as to generate a third point group; extracting a space of an area group where a second moving body is parked from the third point group based on a movement track of the first moving body and information regarding a size of the second moving body; dividing the extracted space; and specifying each area of the area group.