Abstract: The disclosure provides a method, a system, and a computer program product for updating map data. The method comprises obtaining vehicle sensor data associated with first spatial data and first temporal data related to one or more hazard-based event. The method may further include obtaining image data associated with second spatial data and second temporal data related to one or more hazard-based event. The method may further include combining the first spatial data with the second spatial data based on a match between the first spatial data and the second spatial data and between the first temporal data and the second temporal data respectively. The method may further include updating the map data based on the combining.

Abstract: An apparatus, method and computer program product are provided for providing a the map including a binary representation of a weather-based hazard. In one example, the apparatus receives data indicating a polygon defining a region being impacted by a weather condition and overlays the polygon on a tile map. The apparatus receives attribute data indicating one or more functional classes of one or more road portions within each tile of the tile map that is partially covered by the polygon and determines a subset of tiles within the tile map that defines the weather condition based on the attribute data.

Abstract: Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.

Abstract: A system, a method, and a computer program product may be provided for processing event data. For example, event data relating to an occurrence of an event corresponding to a first tile is received, and a first count value associated with the received event data is determined. A threshold count value associated with the event within the first tile is obtained, and dynamic switching between a link-based processing and a tile-based processing is performed, based on a comparison between the first count value and the threshold count value, wherein on determining the first count value to be greater than the threshold count value, the tile-based processing is performed, and on determining the first count value to be lesser than the threshold count value, the link-based processing is performed.

Abstract: A method, apparatus, and user interface for providing a roadworks location detection system is disclosed. For example, image data of at least one roadworks sign may be obtained and a location for the roadworks project may be determined based on the obtained image data. One or more road segments may then be identified, and the determined roadworks location associated with the one or more identified road segments to update a map layer of a geographic database and/or perform other actions.

Abstract: An apparatus autonomously operates at least one system of a vehicle as the vehicle navigates along a route through at least a portion of a traversable network in a sensor-based navigation mode. The apparatus obtains a map fragment corresponding to an area along the route; and, responsive to determining that the vehicle is located within the area, autonomously operates the at least one system of the vehicle as the vehicle navigates a portion of the route within the area in a map-based navigation mode using map data of the map fragment. Responsive to determining that the vehicle has exited the area, the apparatus autonomously operates the at least one system of the vehicle as the vehicle continues to navigate along the route in the sensor-based navigation mode. The map fragment is a portion of a high definition map configured to enable map-based autonomous vehicle navigation/control.

Abstract: A method, apparatus and computer program product for activating a flood event warning are described herein. In the context of a method, a location may be identified as a flood prone location. Data relating to the flood prone location may be received from one or more remote devices. The method may determine a flood confidence for the flood prone location based upon the data. The method may identify an active flood event for the flood prone location based on the flood confidence and cause a flood event warning to be activated in an instance in which the active flood event is identified.

Abstract: An approach is provided for determining bicycle lane deviations for autonomous vehicle warning or operation. The approach, for example, involves retrieving probe data associated with a bicycle transportation mode. The approach also involves determining a plurality of probe points of the probe data that are map-matched outside of a bicycle lane. The approach further involves clustering the plurality of probe points into at least one location cluster. The approach further involves storing the one or more location clusters in a geographic database as respective one or more hazard areas where a plurality of bicycles deviates outside of the bicycle lane. By way of example, the approach can further involve using the at least one location cluster to perform at least one of providing a warning message or determining a driving parameter for an autonomous vehicle.

Abstract: An apparatus, method and computer program product are provided for providing a tire pressure analysis. In one example, the apparatus receives first sensor data indicating a first tire pressure change associated with a first vehicle and causes a prediction model to generate a predicted cause of the first tire pressure change based on the first sensor data. The prediction model is trained based on historical data, the historical data defining a plurality of tire pressure signatures. Each of the plurality of tire pressure signatures correlates a cause of a second tire pressure change associated with a second vehicle to second sensor data indicating one or more tire pressure levels of the second vehicle over a period in which a wheel of the second vehicle completes a revolution. The apparatus further causes a notification of the predicted cause at a user interface associated with the first vehicle.

Abstract: Embodiments described herein may provide a method for identifying hazard polygons in a geographic region from a plurality of sources and aggregating hazard polygons into a merged hazard polygon. Methods may include: receiving a first indication of a first hazard warning, where the first hazard warning includes a first hazard condition and a first hazard polygon in which the first hazard condition is estimated to be present; receiving a second indication of a second hazard warning, where the second hazard warning includes a second hazard condition and a second hazard polygon in which the second hazard condition is estimated to be present; generating, from the first hazard polygon and the second hazard polygon, a merged hazard polygon; and providing for at least one of navigational assistance or autonomous vehicle control based, at least in part, on the merged hazard polygon.

Abstract: An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

Abstract: Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.

Abstract: A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.

Abstract: A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.

Abstract: An approach is provided for estimating false positive reports of detectable road events. For example, the approach involves determining a first number of road reports from a fleet of vehicles, and operating in a geographic area during a first time period and a second number of road reports from the fleet operating in the geographic area during a second time period. The first number of road reports and the second number of reports relate to a road event detected by vehicle sensors. The approach further involves computing a difference between the first number and the second number. The approach further involves determining a percentage of defective vehicles in the fleet based on the difference. The defective vehicles are defective with respect to a detection of the road event. The approach further involves providing the percentage of defective vehicles as an output.

Abstract: A system is disclosed for determining a driving direction. The system may include a memory configured to store computer-executable instructions; and at least one processor configured to execute the computer-executable instructions to obtain sensor data associated with a vehicle. The sensor data may include at least location data of the vehicle and lateral position data of the vehicle. Further, the processor is configured to execute the computer-executable instructions to identify a link associated with the sensor data, based on the location data and map data. Furthermore, the processor is configured to execute the computer-executable instructions to calculate half width data associated with the link based on the lateral position data and determine the driving direction for the vehicle based on the half width data, the lateral position data, and vehicle width data.

Abstract: A method is provided for verifying and/or updating map geometry based on a probe data. A method may include: receiving probe data from a plurality of probes within a region, where the probe data includes at least one of heading information and location information for each probe data point; matching the probe data to a link segment to generate map-matched probe data; calculating a difference between the at least one of heading information and location information of the map-matched probe data points and of the link segment; determining a statistical mean of the data; determining an error of the statistical mean of the data; and flagging the link segment for manual review in response to the statistical mean being greater than the error of the statistical mean multiplied by a biasing factor.

Abstract: System, method and computer program products are provided for detecting an environmental zone, generating a time schedule of an environmental zone in a region and providing route navigation instructions. The method may include obtaining at least one observation associated with the environmental zone in a region. The method may further include determining a confidence value associated with the at least one observation in the region and detecting the environmental zone in the region based on the confidence value associated with the at least one observation. The detection of the environmental zone comprises determining either one of a presence or an absence of the environmental zone in the region. Further, the detection of the environmental zone may be used to generate a time schedule indicating presence or absence of the environmental zone in the region for different time intervals.

Abstract: A system, a method, and a computer program product are disclosed for detecting a driving direction. The system may include: a memory to store computer-executable instructions; and one or more processors to execute the instructions to receive sensor data associated with a plurality of locations and determine trajectory data associated with the plurality of locations based on the sensor data and map data. Further, the one or more processors may execute the instructions to identify, based on the trajectory data, a set of unmatched locations from the plurality of locations. The set of unmatched locations comprises at least a first predetermined number of unmatched locations. Furthermore, the one or more processors may execute the instructions to detect the driving direction based on the set of unmatched locations and the map data.

Abstract: A system, a method, and a computer program product are disclosed for detecting a driving direction. The system may include: a memory to store computer-executable instructions; and one or more processors to execute the instructions to receive sensor data associated with a plurality of locations and determine trajectory data associated with the plurality of locations based on the sensor data and map data. Further, the one or more processors may execute the instructions to identify, based on the trajectory data, a set of unmatched locations from the plurality of locations. The set of unmatched locations comprises at least a first predetermined number of unmatched locations. Furthermore, the one or more processors may execute the instructions to detect the driving direction based on the set of unmatched locations and the map data.