The present disclosure provides more appropriate information for vehicles. An information processing apparatus of the present disclosure receives pieces of probe data from a plurality of vehicles having traveled through a predetermined point, each of the pieces of probe data indicating a traveling environment at the point, and generates information for other vehicles to pass through the point, for each of attributes of vehicles, based on the pieces of probe data.

A method of monitoring quality of a road segment from driver data is provided. The method includes receiving, by a server over a network, the driver data for a road segment from one or more sensing units in one or more vehicles. The method also includes calculating, in one or more computing devices, one or more quantitative pavement surface characteristics of the road segment from the driver data using a probabilistic inverse analysis framework. The method also includes identifying, in the one or more computing devices, one or more quantitative vehicle properties of the one or more vehicles from the driver data using the probabilistic inverse analysis framework. The method then includes estimating, in the one or more computing devices, one or more road quality characteristics of the road segment based on at least one of the quantitative pavement surface characteristics of the road segment and the quantitative vehicle properties of the one or more vehicles.

An approach is provided for speed aggregation of probe data for high-occupancy-vehicle (HOV) or other road lanes. The approach involves, for example, determining a line that is parallel to a road segment and divides the road segment along a longitudinal axis. The approach also involves determining a spatial distribution of probe data collected from the road segment with respect to the line. The approach further involves clustering the probe data into a first cluster and a second cluster based on speed. The approach further involves assigning the first cluster to a first lane of the road segment, the second cluster to a second lane of the road segment, or a combination thereof based on the spatial distribution to output a bi-modality event (e.g., an HOV traffic event).

A route provision device, according to one embodiment of the present invention, is provided to each of a plurality of sensors which are provided to a vehicle, wherein, on the basis that the route provision device is provided to the sensors, a processor selectively receives a portion of layers among a plurality of layers, and, on the basis of the types of the sensors which are provided with the route provision device, determines the types of the portion of layers which have been selectively received.

Systems and methods for object detection. The methods comprise: obtaining, by a computing device, an image comprising a plurality of color layers superimposed on each other; generating at least one first additional layer using information contained in a road map (where the first additional layer includes ground height information, ground depth information, drivable geographical area information, map point distance-to-lane center information, lane direction information, or intersection information); generating a modified image by superimposing the first additional layer on the color layers; and causing, by the computing device, control of a vehicle's operation based on the object detection made using the modified image.

Technology descried here can be used for collecting information about malicious attacks on computer devices. Hosting hardware can be configured to host virtual machines, virtual machines of ECU images, and ECUs to collect records of malicious attacks. An attack analyzer can generate fingerprints from the malicious attacks.

A method, a system, and a computer program product may be provided for generating at least one route speed funnel for roadwork zone identification. The method may include generating a plurality of learned speed signs from a first plurality of road sign observations captured by a first plurality of vehicles, determining a plurality of candidate speed funnels from the plurality of learned speed signs, based on corresponding locations, corresponding headings, and corresponding sign values and generating at least one route speed funnel from the plurality of candidate speed funnels based on session identifiers associated with a second plurality of vehicles of the first plurality of vehicles and corresponding time stamps of the plurality of learned speed signs. Each of the plurality of candidate speed funnels comprises a different pair of learned speed signs selected from the plurality of learned speed signs.

Provided herein is a system that comprises one or more sensors that capture data, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform functions that include identifying one or more locations within a distance of the vehicle, capturing current data of the identified one or more locations, determining one or more changes that exceed respective threshold amounts between the current data and historical data of the identified one or more locations, and updating the historical data of the identified one or more locations based on the determined one or more changes.

According to an aspect of an embodiment, operations may comprise accessing an HD map of a region comprising information describing an intersection of two or more roads and describing lanes of the two or more roads that intersect the intersection, automatically identifying constraints on the lanes at the intersection, automatically calculating, based on the constraints on the lanes at the intersection, lane connectivity for the intersection, displaying, on a user interface, the automatically calculated lane connectivity for the intersection, receiving, from a user through the user interface, confirmation that the automatically calculated lane connectivity for the intersection is an actual lane connectivity for the intersection, and adding the actual lane connectivity for the intersection to the information describing the intersection in the HD map.

An apparatus for generating a map includes a processor configured to detect road areas representing roads from a bird's-eye view image, detect skeletal lines of the road areas and detects individual branch points of the skeletal lines as candidates for the centers of intersections, detect candidate intersection areas for the respective candidates for the centers of intersections from the bird's-eye view image, and detect two or more of the candidate intersection areas that at least partially overlap each other as a single intersection area. The candidate intersection areas respectively include the candidates for the centers.