A device includes a storage device configured to store a program; and a hardware processor, wherein, the hardware processor executes the program stored in the storage device to: recognize positions of a plurality of traffic participants; determine a temporary goal which each of the plurality of traffic participants is trying to reach in the future, based on the recognition results; and simulate a movement process in which each of the plurality of traffic participants moves toward the temporary goal using a movement model to estimate an action in the future of each of the plurality of traffic participants.

An approach is provided for generating navigation data of a geographical location. The approach involves identifying a landmark located along a source road from a source image and segmenting the source image using a deep learning model to identify a segmentation mask. The approach also involves generating a template image based on the segmentation mask and a street image of the landmark, and matching the template image successively with a sequence of images of the landmark to determine a confidence score. The approach further involves, identifying a first image from the sequence of images with confidence score below a predetermined threshold, and selecting a second image with confidence score above the predetermined threshold from the sequence of images. The approach further involves calculating a visibility distance of the landmark based on the source image and the second image, and generating the navigation data based on the calculated visibility distance.

A semiconductor device has a position estimation part calculating an estimated position of a mobile at a scheduled time to project a message image, based on movement information of the mobile, a reference image signal output part deciding a reference area being an area to project a reference image, based on a relative positional relation between the mobile at the estimated position and the projection area, and outputting a reference image signal being a signal of the reference image, a test image signal acquisition part acquiring a test image signal being a signal of an image obtained by imaging the reference area with the reference image projected thereon, and an image adjustment part adjusting the message image signal, based on the reference image signal and the test image signal.

Various embodiments include methods and interactive traffic control devices for interactively controlling traffic, which may include receiving refined location and state information associated with individual vehicles on a roadway, and determining customized dynamic traffic control instructions for a first one or more of the individual vehicles. The determined customized dynamic traffic control instructions may be based on the received refined location and state information and offer an optional route alternative to a set limited number of the individual vehicles. The first customized dynamic traffic control instructions may be transmitted by the interactive traffic control device to the first one or more of the individual vehicles.

Some embodiments provide a mapping application that has a novel way of displaying traffic congestion along roads in the map. The mapping application in some embodiments defines a traffic congestion representation to run parallel to its corresponding road portion when the map is viewed at a particular zoom level, and defines a traffic congestion representation to be placed over its corresponding road portion when the map is viewed at another zoom level. The mapping application in some embodiments differentiates the appearance of the traffic congestion representation that signifies heavy traffic congestion from the appearance of the traffic congestion representation that signifies moderate traffic congestion. In some of these embodiments, the mapping application does not generate a traffic congestion representation for areas along a road that are not congested.

A guiding device for at least one vehicle, including a receiving unit of an infrastructure sensor unit for receiving data of a surroundings of the vehicle and for receiving data of a destination of the vehicle; and an ascertainment unit, the ascertainment unit being designed to ascertain a trajectory from the data of the surroundings and the data of the destination and to transmit the data wirelessly to the vehicle.

A display apparatus of the present disclosure determines whether or not a route section is a linear section on the basis of positional relationship among nodes within the route section including three or more nodes, and, for a route section which is determined to be a linear section, forms and displays a line connecting a start node with a terminal node of the route section as an AR route.

Systems and methods for generating calm or quiet routes are provided. When a user requests navigation directions and indicates a preference for a calm route, a plurality of routes between the origin location and the destination location requested by the user may be identified. Historical sensor data (e.g., including heart rate data, exterior vehicle noise level data, accelerometer data) and traffic data associated with route segments of each of the routes may be analyzed to identify indications of calmness associated with each route segment. Current traffic data associated with the route segments may be analyzed to assign a traffic score representing a level of congestion along the segment and corresponding to a level of insurance risk associated with traversing the segment. Based at least in part upon the indications of calmness and the traffic score associated with each route segment, a route may be selected and presented to the user.

A ride-sharing system can automatically and autonomously determine whether a rider is an account holder associated with an account of a ride-sharing service that requested a ride or a guest rider. A guest rider detection system can use geolocation data to determine whether a rider is a guest rider or an account holder. The system can obtain location data for an account holder that requests a ride using a ride sharing application. The location data of the account holder can be compared with one or more locations (e.g., pickup or drop off location) associated with the requested ride. Based at least in part on the comparisons between the location data of the account holder and the one or more locations associated with the requested ride, the system can determine with a particular degree of certainty whether the rider is the guest rider or the account holder.

An emergency responder guidance system and method for directing emergency responder vehicles in a restricted area. The system includes a sensor device, an interface device, or both, disposed in the restricted area and operable to provide an indication of an emergency condition in the restricted area. The systems includes a visual indicators disposed at a different locations along pathway of the restricted area. The systems includes a response path generator communicatively coupled with the sensor device, the interface device, or both, and with the plurality of visual indicators. The response path generator determines a target path through the pathway to a location of the emergency condition.