A system and a method for supporting automated valet parking, and an infrastructure and a vehicle therefor are provided. The method for operating a vehicle which supports automated valet parking includes initializing automated valet parking and receiving, from an infrastructure, a target position which is related to the vehicle and a guide route which guides movement to the target position. Additionally, the method includes performing automated driving by the vehicle along the guide route, and measuring a position of the vehicle based on behavior information of the vehicle and environmental information, while the vehicle performs the automated driving. The environmental information includes at least one among parking lot slot information, road signs, walls, pillars, and floor markings.

The present invention relates to a parking assistance device, and includes: a surrounding detection part detecting surrounding information of a vehicle which is to be parked to detect a parking space where the vehicle can be parked; a parking route generation part generating a traveling route from a current position of the vehicle to the parking space; a travel controller making the vehicle travel to the parking space along the traveling route; an obstacle detection part detecting an obstacle around the vehicle; and a parking route regeneration part generating a new traveling route to avoid a collision between the vehicle and the obstacle and park the vehicle in the parking space in a case where the travel controller makes the vehicle travel to the parking space along the traveling route, wherein the travel controller makes the vehicle travel along the new traveling route when the new traveling route is generated.

A free space detection apparatus for a vehicle is provided to detect a free space based on a lidar sensor and recognize a driving environment. The apparatus includes a point data processor that removes noise of point data acquired from the LIDAR sensor and derives a half line with respect to an obstacle point from which noise has been removed based on coordinates of the obstacle point. A map processor generates a map for space classification, checks whether the obstacle point or the half line with respect to the obstacle point is present in a cell of the map and determines cell states of the map. A free space detector detects a free space based on the cell states of the map.

In certain embodiments, a vehicle may obtain a video stream via a camera system of the vehicle. The video stream may be processed to extract one or more feature vectors from the video stream. Based on the feature vectors extracted from the video stream, vehicle description information related to one or more parked vehicles in the parking area may be determined. Space information indicating locations of the parked vehicles relative to available parking spaces in the parking area may also be determined based on the feature vectors extracted from the video stream. A mapping of the parking area may then be generated based on the vehicle description information and the space information.

Disclosed are devices, systems and methods for managing parking monitoring and enforcement. Parking at a meter or in a parking lot or ramp can be provided as a subscription. A registration and verification process for the subscription service can be provided as a multi-step process that combines the smart parking meter with a QR code, a mobile parking app for a smartphone, a central parking management system, and digital images of the parked vehicle(s). The registration process verifies that only vehicles owned by the subscriber are associated with the subscriber's account. Steps can also be employed to ensure that subscribers are not incorrectly issued parking citations by determining whether license plate data for a vehicle initially determined to be in violation matches an active subscription parker's roster of registered vehicles.

The present disclosure provides a method and apparatus for an automatic parking system. The method includes: obtaining a parking-line segmentation image through a segmentation neural network; preprocessing the parking-line segmentation image to obtain at least one parking-line skeleton image; and calculating straight-line equations and straight-line endpoints for parking lines in the parking-line segmentation image based on the at least.

Devices, systems, and methods for remote control of autonomous vehicles are disclosed herein. A method may include receiving, by a device, first data indicative of an autonomous vehicle in a parking area, and determining, based on the first data, a location of the autonomous vehicle. The method may include determining, based on a the location, first image data including a representation of an object. The method may include generating second image data based on the first data and the first image data, and presenting the second image data. The method may include receiving an input associated with controlling operation of the autonomous vehicle, and controlling, based on the input, the operation of the autonomous vehicle.

A parking guidance system includes a parking guidance device that sets a position of a parking area in a distribution hub and generates a travel path to the parking area and an autonomous vehicle that controls movement of the autonomous vehicle to the position of the parking area set by the parking guidance device.

A parking assistance device includes a camera configured to capture a rear-view image of a vehicle, a plurality of sensors configured to sense an obstacle located around the vehicle, a controller configured to generate a parking guide line to guide the vehicle into a target parking space and assist a driver of the vehicle to park based on a separation distance between a predicted entrance trajectory corresponding to a steering angle of the vehicle and the parking guide line, and a display configured to match and display the rear-view image of the vehicle with the parking guide line.

A parking assistance ECU is a device that assists parking of a subject vehicle and includes a route generation unit that generates a travel route on which the subject vehicle travels, a selection unit that selects, based on the travel route, a camera used for detection of an obstacle among a front camera, a right side camera, a left side camera, and a rear camera which capture an image of a surrounding of the subject vehicle, in a case where a turning action of the subject vehicle is included in the travel route, and an obstacle detection unit that detects an obstacle which possibly contacts with the subject vehicle from a captured image captured by the camera selected by the selection unit.