A parking enforcement system includes an autonomous vehicle that is equipped with an image capture device that is configured to capture images of license plates of parked vehicles while the autonomous vehicle moves through a parking zone. The system will process the images to extract license plate numbers from the images. The system will correlate the license plate numbers with data in a parking enforcement database to determine whether the license plate numbers are associated with an unexpired parking transaction. For any license plate number that is not subject to an unexpired parking transaction, the system may initiate an enforcement action. For any license plate number that is subject to an unexpired parking transaction, the system may not initiate an enforcement action.

An information display device includes: a display section that displays a view of a situation ahead of a vehicle and guidance information; a learning section that classifies and learns targets appearing on a travel route and visible through the display section as: a first target necessary to be visible, a second target necessary to be visible under the setting condition, or a third target not necessary to be visible, and a display control section configured to: prohibit display of the guidance information in a prohibited region with the first target, permit display of the guidance information in a permitted region with the third target, and either prohibit display of the guidance information in a conditional region with the second target and the setting condition is met, or permit display of the guidance information in the conditional region with the second target and the setting condition is not met.

An information providing apparatus includes: an image obtaining unit that obtains a captured image having, captured therein, surroundings of a moving body; an area extracting unit that extracts an area of interest on which a line of sight is focused in the captured image; an object recognizing unit that recognizes an object included in the area of interest in the captured image; and an information providing unit that provides object information related to the object included in the area of interest.

A system includes a memory device, and a processing device, operatively coupled to the memory device, to receive a set of input data including a roadgraph, the roadgraph including an autonomous vehicle driving path, modify the roadgraph to obtain a modified roadgraph by adjusting a trajectory of the autonomous vehicle driving path, place a set of artifacts along one or more lane boundaries of the modified roadgraph to generate a synthetic scene, and train a machine learning model used to navigate an autonomous vehicle based on the synthetic scene.

System for creating a surroundings model of a motor vehicle, which is or can be connected with: at least one navigation unit, which is equipped to provide information about the instantaneous position of the vehicle and information about at least one segment of road in front of the vehicle in time and space, wherein the navigation unit provides the information in a digital map format and/or in absolute position information, at least one interface, which is equipped to communicate with at least one object to be merged in the surroundings of the vehicle, wherein the information received by the interface includes absolute position information on the at least one object to be merged, and/or at least one sensor unit, which is equipped to detect at least one object to be merged in the surroundings of the vehicle, wherein the at least one sensor unit is additionally equipped to provide relative position information on the at least one object to be merged relative to the vehicle, wherein the system is equipped to ascertain the geometry of a segment of road in front of the vehicle by using the information supplied by the at least one navigation unit about the segment of road in front of the vehicle, wherein the system is equipped to merge the absolute position information and/or the relative position information on the at least one object to be merged with information provided by the at least one navigation unit in the digital map format to create a vehicle surroundings model based on the geometry of the road thereby ascertained.

The disclosure relates to a lane line determination method and system, a vehicle, and a storage medium, and the lane line determination method includes: capturing a road image for a current location in a vehicle coordinate system; recognizing the road image and generating basic lane lines for the current location; extracting map lane lines for the current location; mapping the map lane lines to the vehicle coordinate system to obtain auxiliary lane lines; registering the basic lane lines with the auxiliary lane lines, the registration being performed based on confidence levels of the basic lane lines; and generating target lane lines based on the registered auxiliary lane lines and the basic lane lines. According to the lane line determination method, an operation such as correction can be performed, according to a condition, on a visually captured lane line by using a map lane line, thereby improving accuracy of the lane line detection.

Apparatuses, systems, and techniques to calculate a plurality of paths, through which an autonomous device is to traverse. In at least one embodiment, a plurality of paths are calculated using one or more neural networks based, at least in part, on one or more distance values output by the one or more neural networks.

An information providing system includes an onboard device and a server that transmits information to and receives information from the onboard device. The onboard device includes a condition setting unit that acquires a destination and an output mode and transmits the acquired destination and the acquired output mode to the server. The onboard device further includes an output unit that outputs parking lot recommendation information which is received from the server. The server includes a storage unit that stores parking lot information including position information of parking lots and parking fees which are detected from a captured image of the parking lots. The server further includes an information providing unit that prioritizes parking lots which are located within a predetermined range from the destination based on the output mode provides the parking lot information of the prioritized parking lots as the parking lot recommendation information to the onboard device.

In an apparatus for assisting a turn of a vehicle at an intersection, a turn-signal state detection unit is configured to detect an operating state of a turn signal of the vehicle. A road information detection unit is configured to detect road information that is information regarding a road on which the vehicle is traveling. A determination unit is configured to, using at least one of the detected operating state of the turn signal and the detected road information, determine whether or not the vehicle will make a turn at the intersection.

A system configured to autonomously operate a vehicle within an environment is disclosed herein. The system includes a vehicle including a sensing system with a single active sensor configured to detect objects within an environment as the vehicle travels on a journey along a travel path within the environment. The system further includes a computing system communicably coupled to the vehicle. The computing system includes a memory configured to store a three-dimensional map of the environment, and a processor configured to determine an updated pose of the vehicle based on the three-dimensional map and input from the single active sensor of the vehicle. The processor is further configured to generate an updated travel path for the vehicle, wherein the updated travel path is generated based on the updated pose of the vehicle within the environment determined by the computing system.