A smart parking management system and a smart parking management method are provided. The system includes a first smart pole, multiple second smart poles, and a processing device. An image capturing range of the first smart pole covers an entrance of a road section. An image capturing range of each second smart pole covers at least a parking space of the road section. The processing device is communicatively coupled to the first smart pole and the second smart poles. The processing device identifies first vehicle information of a first vehicle entering the road section according to an image stream captured by the first smart pole, obtains a movement trajectory of the first vehicle in the road section based on the first vehicle information and an image stream captured by each second smart pole, and determines where the first vehicle is parked according to the movement trajectory.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data representing a first location associated with a service request. The method includes controlling the autonomous vehicle to travel in accordance with a first route that leads to the first location. The method includes determining a second location for the service request when the autonomous vehicle is en route to the first location. The method includes controlling the autonomous vehicle to provide the requested service at the second location.

Disclosed are systems and methods for projecting virtual parking lines in alignment with actual parking lines to facilitate parking within a parking stall defined by the actual parking lines to prevent unnecessary damage to vehicles in an area where the actual parking lines may not exist or be visible. The system identifies the location of the actual parking lines within a defined parking area based on previously recorded actual parking line data as well as localization of the vehicle within the defined parking area relative to the nearby landmarks. Virtual parking lines are generated that correspond with the location of the actual parking lines and are projected in alignment with the actual parking lines to facilitate parking.

The disclosure describes systems and methods that are configured to measure and generate parking environment data including locations of parking spaces and their occupancy status, and to use the parking environment data to find an unoccupied parking space for a vehicle. In particular, a system is configured to determine the location and occupancy status of parking spaces based on parking environment data received from a vehicle, and to determine a location of an unoccupied parking space based on a database of parking environment data.

An approach is provided for estimating lane pavement conditions based on street parking events. For example, the approach involves map-matching a vehicle park-in event, a vehicle park-out event, or a combination thereof to a lane of a road segment. The approach also involves calculating an adjusted pavement condition of the lane based on the map matched park-in event, the map-matched park-out event, or a combination thereof, wherein the adjusted pavement condition accounts for a reduction of a weather effect on a pavement condition of the lane caused by one or more vehicles parking in the lane. The approach further involves providing the adjusted pavement condition of the lane as an output.

A method for managing parking spaces for vehicles, which spaces are located in a geographical area and are associated with a controller, configured to allocate one or more parking characteristics to said spaces, the method including collection and storage of historical navigation data of identified vehicles and/or of identified drivers, statistical analysis of said stored data to predict the use of the spaces by the identified vehicles and/or the identified drivers, and modification of one or more parking characteristics allocated by the controller according to predicted space use.

A method for reducing parking violations includes: searching for an empty parking spot in an area surrounding a vehicle; receiving, by a controller of the vehicle, parking restriction information in the area surrounding the vehicle, wherein the controller receives the parking restriction information from sensors of the vehicle; determining, by the controller of the vehicle, that the empty parking spot is invalid; and activating, by the controller of the vehicle, an alarm to alert a vehicle operator of the vehicle that the empty parking spot is invalid.

An automatic valet parking system includes a vehicle, a parking server, and a map server. The parking server includes a server-side operation planning portion that generates a server-side operation plan including a route for guiding the vehicle to a target position. The vehicle includes: an operation plan determination portion that determines whether the server-side operation plan is false; an automatic operation control portion that performs automatic operation control according to the server-side operation plan; and an information transmission portion that acquires vehicle-related information about the vehicle and to transmit the vehicle-related information to the parking server when the operation plan determination portion determines that the server-side operation plan is false.

An automatic valet parking system includes a vehicle, a parking server, and a map server including a database. The vehicle includes: an operation plan determination portion that determines whether the saver-side operation plan is false; a request generating portion that requests the map server to transmit the parkable region information when the server-side operation plan is false; a vehicle-side operation planning portion that generates, based on the parkable region information, a vehicle-side operation plan including a route for guiding the vehicle to the target position in the unmanageable region in response to receiving the parkable region information; and an automatic operation control portion that is configured to: perform the automatic operation control according to the server-side operation plan when the server-side operation plan is not false; and perform the automatic operation control according to the vehicle-side operation plan when the server-side operation plan is false.

Artificially intelligent and dynamic infrastructure management in edge systems is provided. A number of available autonomous compute, networking, and/or cloud vehicles (ACNCV) is determined. Current conditions are extracted within an area in which the available ACNCV is defined to operate. Based on repositioning being needed, repositioning one or more of the available ACNCVs to a location last occupied under similar conditions. Based on the repositioning improving utilization, updating the ACNCV location in a database indicating improvement under current conditions. Location optimization is performed, including plotting a GPS location for each user, weighting each user based on individual utilization, resulting in a weighted k-means clustering to locate one or more centroids, locating in the database an allowable parking area closest to the one or more centroids, calculating a minimum movement among each of the ACNCVs to the allowable parking area, and transmitting repositioning instructions to a selected ACNCV.