A system accesses a three-dimensional map of a geographic region and generates a two-dimensional projection of the road based on the three-dimensional map. The two-dimensional projection comprises a plurality of points along the road and each point is assigned a score measuring a navigability of the point. Based on the navigability score of each point and history of vehicle positions on the road, the system identifies a plurality of navigable points on the two-dimensional projection of the road. Based on the plurality of navigable points, the system determines a navigable surface corresponding to a physical area over which a vehicle may safely navigate and navigable surface boundaries surrounding that area. The navigable surface area and boundaries on the two-dimensional projection are converted into a three-dimensional representation, which the system uses to generate an updated three-dimensional map of the geographic region.

A tangible, non-transitory machine-readable medium includes machine-readable instructions that, when executed by one or more processors, cause the one or more processors to receive historical driver data indicative of one or more physiological parameters of one or more drivers during one or more prior driving trips, receive historical position data indicative of a respective position of a respective vehicle driven by the one or more drivers during the one or more prior driving trips, establish a correlation between the historical driver data and the historical position data, and identify one or more low-stress road segments using the correlation between the historical driver data and the historical position data.

A system for updating linear traffic feature data is provided. The system, for example, determines, from sensor data, the linear traffic feature data associated with a matched link. Further, the system, for example, generates heading data based on the linear traffic feature data and updates the linear traffic feature data based on the generated heading data. The heading data is generated by dropping a perpendicular to at least one of the matched link and a second link connected to the matched link.

A map generation apparatus includes: an external situation detector configured to detect an external situation around a subject vehicle; and a microprocessor and a memory connected to the microprocessor. The microprocessor is configured to perform: extracting one or more feature points from an image indicated by a detection data acquired by the external situation detector; estimating a moving amount of the external situation detector accompanying the movement of the subject vehicle based on the image indicated by the detection data; specifying a region in the image used for estimation of the moving amount in the estimating; and generating a map information using one or more feature points corresponding to the region specified in the specifying among the feature points extracted in the extracting.

An information processing apparatus that is communicable with an in-vehicle device includes a detection section to detect a change of a specific feature at every predetermined timing based on probe information, the specific feature being a feature on a road and used in control of automated driving. The detection section includes a first calculation section to calculate a first index based on the probe information; a second calculation section to calculate a second index based on the probe information; and a comparison section to detect a change of the specific feature by comparing the first index and the second index.

A computing device may detect roundabouts and other road features from probe data including probe heading information. The computing device may model the probe data as vector points in vector fields and perform vector field fitting on a subset of the probe data vectors to identify circulation in the vector fields. The computing device uses the circulation in the vector fields to detect the location of a roundabout or other road feature.

Systems, methods, and non-transitory computer-readable media can determine map information defining a map, wherein the map comprises a plurality of regions. A quality level is assigned to each region of the plurality of regions based on map information available for that region. The quality level is associated with at least one of: a resolution metric, a volume metric, a recency metric, a verification metric, or an elegance metric associated with the map information available for that region. A first region of the plurality of regions is identified that is at risk of being downgraded to a lower quality level. Instructions are issued to one or more vehicles that cause the one or more vehicles to traverse the first region and capture sensor data within the first region.

Among other things, techniques are described for receiving, from at least one sensor of a vehicle, a sensor measurement indicative of at least one of a sound or a vibration associated with a road element; identifying the road element based on a pattern in the sensor measurement; determining, based on the road element, a vehicle behavior for the vehicle; and controlling the vehicle to operate according to vehicle behavior.

A method for generating a zebra crossing includes: obtaining an original vertex sequence for generating a zebra crossing from an image, and determining a first vertex sequence by merging a plurality of vertices in the original vertex sequence; obtaining a plurality of lines by connecting a plurality of vertices in the first vertex sequence in order, and determining a first target edge and a second target edge approximate to the first target edge from the plurality of lines; obtaining a first vertex set corresponding to the first target edge and a second vertex set corresponding to the second target edge, and generating an area to be cut based on the first vertex set and the second vertex set; and cutting the area to be cut to obtain cutting elements, and generating the zebra crossing by filling alternately a part of cutting elements.

A road surface inclination angle calculation device includes a storage device configured to store mapping data that prescribes mapping, and an execution device. The mapping includes a front-rear acceleration variable and a drive wheel torque variable as input variables, and includes, as an output variable, an inclination angle variable that is a variable indicating the inclination angle of a road surface, on which a vehicle is traveling, for the travel direction of the vehicle. The execution device is configured to acquire the values of the input variables, and configured to calculate the value of the output variable by inputting the acquired values of the input variables to the mapping.