Abstract: The disclosure provides a method, a system, and a computer program product for predicting an accident. The method comprises capturing one or more audio signals based on one or more sensors onboard a vehicle. The method may include extracting one or more features associated with each of the one or more audio signals. The method further includes, generating an output for predicting the accident, based on the extracted one or more features associated with each of the one or more audio signals. Further, the output comprises a predicted accident state and an associated confidence value. Also, the predicted accident state comprising at least one of: a no accident state, a pre-accident state, a light accident state, and an intense accident state.

Abstract: Embodiments described herein relate to anonymizing sensor data through the use of map data. Methods include: receiving sensor data defining a trajectory; map-matching the sensor data using a map-matching algorithm to a plurality of road segments of a map database to generate a sequence of map-matched sensor data elements; determining a first value representing anonymization associated with a start of the trajectory; determining a second value representing anonymization associated with an end of the trajectory; determining first map-matched sensor data elements at the start of the trajectory to be redacted based on the first value; determining second map-matched sensor data elements at the end of the trajectory to be redacted based on the second value; and transmitting sensor data associated with elements in the sequence of map-matched sensor data elements between the first map-matched sensor data elements and the second map-matched sensor data elements.

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: A system, a method, and a computer program product for determining a sign type of a road sign are disclosed herein. The system comprises a memory configured to store computer-executable instructions and one or more processors configured to execute the instructions to obtain sensor data associated with the road sign, wherein the sensor data comprises data associated with counts of road sign observations, determine one or more features associated with the road sign, based on the obtained sensor data, and determine the sign type of the road sign, based on the one or more features.

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 apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: A system, a method, and computer program product are provided for generating placement data of a road sign are provided. The method comprises obtaining a set of road sign observations that comprise sign placement label data and a first lateral offset value of each road sign observation of the set of road sign observations, determining, using a probabilistic model, a lateral threshold value based on distribution of the sign placement label data and the first lateral offset value of each road sign observation, and obtaining a second lateral offset value of the road sign. The method further comprises generating the placement data of the road sign based on the lateral threshold value and the second lateral offset value of the road sign.

Abstract: A system, a method, and a computer program product for determining a sign type of a road sign are disclosed herein. The system comprises a memory configured to store computer-executable instructions and one or more processors configured to execute the instructions to obtain sensor data associated with the road sign, wherein the sensor data comprises data associated with counts of road sign observations, determine one or more features associated with the road sign, based on the obtained sensor data, and determine the sign type of the road sign, based on the one or more features.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.

Abstract: An apparatus is configured to perform a method for generating warning polygons for weather events in a geographic region. The method includes receiving measurement data from one or more sensors, identifying at least one location from the measurement data, identifying a map tile within a predetermined distance to the at least one location, generating a map tile cluster based on analysis of the at least one map tile, accessing an end-use constraint of the end-use device, the end-use constraint indicative of a constraint in processing on the end-use device, and calculating the warning polygon based on the map tile cluster and based on the end-use constraint such that the polygon intersects the geographic region.