Abstract: Systems and methods for a model for determining reliability of hazard sensors associated with vehicles are described. An example method includes receiving hazard observations collected from at least one hazard sensor, wherein the hazard observations is associated with hazard locations, receiving weather data associated with the hazard locations, performing a comparison of the hazard observations to the weather data, identifying a quantity of ground truth matches in which the hazard observations match the weather data based on the comparison, identifying a quantity of false negatives in which the weather data are mismatched with the hazard observations based on the comparison, and calculating a recall value from the quantity of false negatives and the quantity of ground truth matches.

Abstract: Systems and methods for a model for estimation of reliability of a hazard sensor observation at a vehicle are disclosed. An example apparatus may include a hazard observation interface configured to receive one or more hazard observations from the hazard sensor of the vehicle, wherein each of the one or more hazard observations is associated with a hazard location and a hazard timestamp, a ground truth module configured to determine ground truth data from one or more weather records from a historical weather database based on the hazard location and the hazard timestamp, and a model configured to perform a comparison of the one or more hazard observations to the one or more weather records, the model trained for estimation of reliability of the hazard sensor observations based on the comparison of the one or more hazard observations to the one or more weather records.

Abstract: System and methods are provided that contextually define interest index requirements for shared and autonomous vehicles. An interest index is computed based on detected contextual behavioral patterns of pedestrians such as the trajectory a candidate passenger is walking given a locational context. The use of the interest index allows users of shared vehicles to benefit from an enhanced user experience that seamlessly unlocks and/or provides access to features for autonomous vehicles based on the interest index.

Abstract: System and methods are provided that allow users of shared vehicles to benefit from an enhanced user experience that seamlessly unlocks and/or provides access to features for autonomous vehicles by proactively computing an interest index based on detected contextual behavioral patterns of the pedestrians such as the trajectory a candidate passenger is walking given a locational context.

Abstract: An approach is provided for minimizing potential vehicle accident impacts based on accident/road link correlation and/or contextual data. The approach, for example, involves processing accident data, topology data, or a combination thereof associated with a road link to determine a potential negative impact on a passenger of a vehicle, the vehicle, or a combination thereof resulting from a potential accident on the road link. The approach also involves determining a seating position within the vehicle for the passenger, a navigation route for the vehicle, an activity for the passenger to perform or avoid while in the vehicle, a dynamic seat repositioning, or a combination thereof based on the potential negative impact. The approach further involves providing the seating position, the navigation route, the activity for the passenger, a dynamic seat repositioning, or a combination thereof as an output.

Abstract: Systems and methods for mix mode automated driving including accessing a profile associated with an automated driving trip, determining a list of driving operations for the automated driving trip, and determining at least one recommended driving operation included in the list of operations based on the profile, such that the at least one recommended driving operation includes a first driving operation designated to autonomous control and a second driving operation designated to manual control.

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: An approach is provided for determining map improvements based on detected accidents. The approach involves determining that a vehicle was involved in an accident. The approach also involves receiving a report indicating map data configured in the vehicle at a time of the accident. The approach further involves determining an association between the configured map data and the accident. The approach further involves performing one or more of the following operations: (1) transmitting the association and/or at least a portion of the configured map data to a database and/or a computing device; or (2) determining at least one map change to the configured map data based on the determined association, and transmitting the at least one map change to the vehicle, at least one other vehicle, the database, and/or the computing device.

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: An approach is provided for requesting a map update based on an accident and/or damaged/malfunctioning sensors to allow a vehicle to continue driving. The approach involves determining, by one or more processors, a status of one or more sensors, one or more systems, or a combination thereof of a vehicle. The approach also involves transmitting, by the one or more processors, a request for a map update based on the status of the one or more sensors, the one or more systems, or a combination thereof of the vehicle. The approach further involves receiving, by the one or more processors, the map update in response to the request. The approach further involves configuring, by the one or more processors, at least one system of the vehicle to operate using the map update.

Abstract: An approach is provided for computing an estimated time of arrival via a route based on a degraded state of a vehicle after an accident and/or malfunction. The approach involves receiving, by one or more processors, data indicating an operational status of a vehicle. The approach also involves processing, by the one or more processors, the data to determine a degraded operational state of the vehicle. The approach further involves computing, by the one or more processors, an estimated time of arrival, a route, or a combination thereof of the vehicle based on the degraded operational state.

Abstract: A vehicle apparatus, for example, receives map data comprising a sensor quality index table; accesses the sensor quality index table to determine an expected sensor effectiveness of a sensor onboard a vehicle along at least a portion of a planned route based on current and/or expected driving conditions; and responsive to determining that the expected sensor effectiveness for the at least one sensor satisfies a threshold requirement, perform a low sensor quality mitigation function. The vehicle apparatus is onboard the vehicle and is in communication with the sensor onboard the vehicle. The sensor quality index table may be generated by a network apparatus based on a plurality of sensor quality communications, generated by probe apparatuses, that are partitioned based on location and timestamp. Sensor quality index tables may be aggregated to generate driving condition tables.

Abstract: 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.

Abstract: An approach is provided for determining map improvements based on detected accidents. The approach involves determining that a vehicle was involved in an accident. The approach also involves receiving a report indicating map data configured in the vehicle at a time of the accident. The approach further involves determining an association between the configured map data and the accident. The approach further involves performing one or more of the following operations: (1) transmitting the association and/or at least a portion of the configured map data to a database and/or a computing device; or (2) determining at least one map change to the configured map data based on the determined association, and transmitting the at least one map change to the vehicle, at least one other vehicle, the database, and/or the computing device.

Abstract: The disclosure provides a method, a system, and a computer program product in accordance with at least one example embodiment for detecting a roadblock zone. The method comprises receiving one or more road object observations, determining a map-matched link based on the received one or more road object observations, and calculating, at one or more locations associated with the map-matched link, heading difference data associated with a difference between a heading of each road object observation of the one or more road object observations and a heading of the map-matched link. The method further comprises identifying a set of locations from the one or more locations associated with the map-matched link where the heading difference data is more than a first predetermined threshold for each location in the set of locations and detecting the roadblock zone on the map-matched link based on the identified set of locations.

Abstract: A system, a method, and a computer program product for generating updated map data are provided. The method comprises obtaining map data of a speed sign associated with a plurality of parallel roads, determining one or more effective links associated with the speed sign, based on the map data of the speed sign, determining first vehicle sensor data corresponding to the one or more effective links, and generating a speed index for each of the one or more effective links based on the first vehicle sensor data The method further comprises generating the updated map data based on the speed index for each of the one or more effective links.

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 method, apparatus and computer program product for determining a reduced visibility event warning are described herein. In the context of a method, a location corresponding with a reduced visibility event warning may be identified. Information regarding visibility at one or more stationary positions based upon the location of the reduced visibility event warning may be received from one or more remote devices (e.g., sensing apparatuses). The method may determine a reduced visibility event warning confidence for the location corresponding with a reduced visibility event warning based upon the information regarding visibility. The method may cause the reduced visibility event warning to be published in an instance in which the reduced visibility event warning confidence satisfies a confidence threshold.

Abstract: A method, apparatus and computer program product are provided for generating an autonomous driving profile map index. In this regard, vehicle context data and location data thereof associated with a vehicle traveling along a road segment is received. The vehicle context data is determined based on a transition into a platooning driving profile for the vehicle that establishes a communication connection between the vehicle and another vehicle traveling along the road segment. Furthermore, autonomous driving profile data for the vehicle at the road segment associated with the location data is calculated based on the vehicle context data.

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.