The present invention provides a method, system, terminal, and storage medium for rapid generation of reference lines. Path planning points are classified according to driving difficulty of different road segments, and the segments with low driving difficulty are assigned reference lines obtained by geometric processing; the segments with high driving difficulty are assigned reference lines obtained by algorithmic processing in combination with vehicle dynamics constraints. Then the reference lines of all segments are combined to form a complete reference line. This method requires little system resource and the algorithm consumes less time.

The present disclosure relates to a methods and systems for autonomous parking of vehicles (103). The vehicle receives an input signal for parking the vehicle in parking premises (100) comprising a plurality of parking space (102) having an elevated parking boundary indicator (101). The vehicle (103) obtains a map of the parking premises (100). Further, the vehicle (103) receives a plurality of LIDAR data points (205) of the parking premises (100) and identifies a plurality of linear patterns from the plurality of LIDAR data points (205). Thereafter, the vehicle (103) detects at least two linear patterns (401) from the plurality of linear patterns, having a predefined length and parallelly spaced apart, indicating the elevated parking boundary indicator (101) of an available parking space, where the vehicle (103) can be autonomously parked in the available parking space.

A device and a method for outputting navigation information for a vehicle are provided. Position data, destination data, and parking data containing information relating to at least two parking space positions and the availability of parking spaces at the at least two parking space positions can be provided via an input interface. A data processing device is configured to determine an order in which at least some of the at least two parking space positions should be approached based on the provided position data, destination data and parking data in such a manner that the determined order meets an optimization criterion. The data processing device is also configured to check whether the optimization criterion can be met by waiting at the at least one parking space position or by returning to a parking space position to be approached before the at least one parking space position.

The present disclosure relates to techniques in the context of vehicles, and in particular to methods for identifying parking areas for vehicles. According to one aspect, the disclosure relates to a method for identifying parking areas. The method comprises determining stops of a plurality of vehicles, wherein one stop is a geographical position where one vehicle of the plurality of vehicles has stayed longer than a pre-determined time period. The method further comprises clustering the determined stops into clusters based on spatial closeness of the geographical positions of the determined stops and determining parking areas by identifying one or more of the clusters that fulfil one or more pre-determined criteria. The disclosure is also related to a control arrangement and to a computer program for performing the proposed method.

An automated valet parking method is provided. The method includes initiating an automated valet parking, transmitting a target position and a guide route from an infrastructure facility to a vehicle, performing an autonomous driving to the target position along the guide route, measuring a vehicle position, calculating accuracy of the measured vehicle position, performing an autonomous parking to the target position.

An automated valet parking method and an apparatus thereof are provided. The method includes transmitting a target position and a guide route from a parking infrastructure to a vehicle, performing autonomous driving toward the target position along the guide route; performing autonomous parking at the target position.

A method and system for parking enforcement, can include graphically displaying in a graphical user interface, a mixed reality display of data including some augmented reality data including parking enforcement information and real-time navigational cues for a navigation that account for a current location of a parking enforcement officer and one or more zones allocated to the parking enforcement officer, capturing license plate information to determine compliance with curbside regulations, and integrating a payment data source and a citation issuance application to issue a citation based on the license plate information.

Systems and methods of generating scenic routes and safe parking locations near scenic points are provided. Based at least in part upon a driver indication of a preference for a scenic route from an origin location to a destination location, a mobile device application may generate a scenic route by selecting route segments between the origin location and the destination location associated with a large number of scenic points. Scenic points may be identified based at least in part upon historical driver telemetry data and POI data. For instance, if historical telemetry data indicates that a large number of drivers stop briefly at a location not known to be near a POI, that location may be a scenic location (e.g., a location where drivers frequently leave their vehicles to take photos). Additionally, safe parking locations near each scenic point may be identified based at least in part upon historical vehicle damage data, and navigation directions to safe parking locations may be provided.

A method comprises determining a plurality of available parking spaces within a threshold distance of a destination; determining an initial utility score for each of the available parking spaces based on a distance between each of the available parking spaces and the destination; determining a safety score associated with each of the available parking spaces based on crime data and a distance between each of the parking spaces and a major street, an entrance to a parking facility in which each available parking space is located, or an entrance to a point of interest; determining an adjusted utility score for each of the available parking spaces based on the initial utility score and the safety score associated with each of the available parking spaces; and selecting a parking space among the plurality of available parking spaces based on the adjusted utility score for the parking space.

The management device of an autonomous driving vehicle includes a congestion rate calculation unit and a waiting place setting unit. The congestion rate calculation unit is able to calculate the congestion rate of a parking lot adjoining each of a plurality of commercial facilities. In a case where the congestion rate of a neighbor parking lot, or a parking lot in the neighborhood of a boarding place contained in reservation information for an autonomous driving vehicle reserved for dispatch, during a waiting time period before the scheduled boarding time, is less than a congestion threshold, the waiting place setting unit sets the neighbor parking lot as a waiting place for the autonomous driving vehicle to wait during the waiting time period.