Abstract: An apparatus, method and computer program product are provided for predicting charging efficiency rates for solar-powered vehicles. In one example, the apparatus receives historical data of events in which solar-powered vehicles equipped with solar panels were electrically charged by receiving solar beams at the solar panels. The historical data indicate factors of the events that induced objects forming on the solar panels and obstructing, at least in part, the solar beams. The apparatus uses the historical data to train a machine learning model to output a charging efficiency rate of a target solar-powered vehicle as a function of at least one attribute associated with a location.

Abstract: A method, apparatus, and user interface for providing a connection detection system is disclosed. For example, image data of at least one animate object is obtained, and an indicator of relationship for the animate object is determined based on the obtained image data. One or more road segments is then associated with the determined indicator to update a map layer of a geographic database.

Abstract: An apparatus, method and computer program product are provided for providing availability of designated electric vehicles during an emergency. In one example, the apparatus receives a mobility pattern of a user of an electric vehicle and adds the user and the electric vehicle to an exception list based on the mobility pattern. During an emergency, the apparatus ensures a predetermined amount of state of charge for each electric vehicle that is electrically coupled to an external power source and is indicated in the exception list.

Abstract: An apparatus, method and computer program product are provided for providing signature reduction for a vehicle. For example, the apparatus receives a destination for a vehicle as input, selects a subset from a plurality of road segments as a route from a location to the destination, and outputs the route or a portion thereof. The subset is selected based on association of each of the plurality of road segments with respect to a source, and the source is capable of acquiring vehicle signature information.

Abstract: Embodiments include apparatus and methods for determining link level wind factors and providing routes for drones based on the wind factors. At least a portion of the route corresponds to airspace above a road network. Wind factor values are assigned to a range of altitudes of drone air space above a road link of the road network based on a wind model and stored in a database. The wind model is applied to a location based on wind condition data and three-dimensional (3D) features from 3D map data associated with the location. The route is optimized based on the determined wind factors.

Abstract: Embodiments include apparatus and methods for determining link level wind factors and providing routes for drones based on the wind factors. At least a portion of the route corresponds to airspace above a road network. Wind factor values are assigned to a range of altitudes of drone air space above a road link of the road network based on a wind model and stored in a database. The wind model is applied to a location based on wind condition data and three-dimensional (3D) features from 3D map data associated with the location. The route is optimized based on the determined wind factors.

Abstract: Embodiments include apparatus and methods for determining link level wind factors and providing routes for drones based on the wind factors. At least a portion of the route corresponds to airspace above a road network. Wind factor values are assigned to a range of altitudes of drone air space above a road link of the road network based on a wind model and stored in a database. The wind model is applied to a location based on wind condition data and three-dimensional (3D) features from 3D map data associated with the location. The route is optimized based on the determined wind factors.

Abstract: An approach is provided for visualizing future events to a passenger of a vehicle. The approach involves collecting sensor data, contextual data, or a combination thereof during an operation of a vehicle. The approach also involves processing the sensor data, the contextual data, or a combination thereof to predict a future event that is expected to occur proximate to the vehicle. The approach further involves generating a simulation of the future event. The approach further involves presenting the simulation in a user interface.

Abstract: An approach is provided for visualizing future events to a passenger of a vehicle. The approach involves collecting sensor data, contextual data, or a combination thereof during an operation of a vehicle. The approach also involves processing the sensor data, the contextual data, or a combination thereof to predict a future event that is expected to occur proximate to the vehicle. The approach further involves generating a simulation of the future event.

Abstract: An apparatus, method and computer program wherein the apparatus comprises: processing circuitry; and memory circuitry including computer program code; the memory circuitry and the computer program code configured to, with the processing circuitry, cause the apparatus at least to perform: obtaining information from at least one sensor wherein the information comprises a current location of a vehicle; using the obtained information to determine an autonomous evacuation strategy for the vehicle; and enabling the vehicle to access the autonomous evacuation strategy when an emergency is detected.

Abstract: An approach is provided for routing an aerial drone while preserving privacy. The approach involves processing model data depicting at least one structure to determine one or more privacy-sensitive features of the at least one structure. The approach also involves calculating line-of-sight data between a route of an aerial drone and the one or more privacy-sensitive features. The approach further involves configuring a routing of the aerial drone based on the line-of sight data when the aerial drone is traveling near the at least one structure.

Abstract: Embodiments include apparatus and methods for determining link level wind factors and providing routes for drones based on the wind factors. At least a portion of the route corresponds to airspace above a road network. Wind factor values are assigned to a range of altitudes of drone air space above a road link of the road network based on a wind model and stored in a database. The wind model is applied to a location based on wind condition data and three-dimensional (3D) features from 3D map data associated with the location. The route is optimized based on the determined wind factors.

Abstract: An approach is provided for routing an aerial drone while preserving privacy. The approach involves processing model data depicting at least one structure to determine one or more privacy-sensitive features of the at least one structure. The approach also involves calculating line-of-sight data between a route of an aerial drone and the one or more privacy-sensitive features. The approach further involves configuring a routing of the aerial drone based on the line-of sight data when the aerial drone is traveling near the at least one structure.

Abstract: An approach is provided for routing an aerial drone while preserving privacy. The approach involves processing model data depicting at least one structure to determine one or more privacy-sensitive features of the at least one structure. The approach also involves calculating line-of-sight data between a route of an aerial drone and the one or more privacy-sensitive features. The approach further involves configuring a routing of the aerial drone based on the line-of sight data when the aerial drone is traveling near the at least one structure.

Abstract: An approach is provided for routing an aerial drone while preserving privacy. The approach involves processing model data depicting at least one structure to determine one or more privacy-sensitive features of the at least one structure. The approach also involves calculating line-of-sight data between a route of an aerial drone and the one or more privacy-sensitive features. The approach further involves configuring a routing of the aerial drone based on the line-of sight data when the aerial drone is traveling near the at least one structure.

Abstract: An apparatus, method and computer program the apparatus comprising: processing circuitry (5); and memory circuitry (7) including computer program code (11); the memory circuitry and the computer program code configured to, with the processing circuitry, cause the apparatus at least to perform: obtaining information from a plurality of sensors wherein the plurality of sensors are located on a plurality of vehicles; analyzing the obtained information to determine whether at least one vehicle is exposed to risk; and if it is determined that at least one vehicle is exposed to risk, enabling one or more of the plurality of vehicles to activate a defensive mode of operation.

Abstract: Methods and apparatus, including computer program products, are provided for point-to-point communications. In one aspect there is provided a method. The method may include detecting, at a first vehicle including a first user equipment, an occurrence of an event; changing, at the first vehicle including the first user equipment, a privacy setting to allow establishment of a local link and transmission of an indication representative of the event; transmitting, at the first vehicle including the first user equipment, the indication in response to the occurrence of the event, when allowed by the privacy setting; and establishing, at the first vehicle including the first user equipment, the local link to at least a second vehicle including a second user equipment, when allowed by the privacy setting. Related apparatus, systems, methods, and articles are also described.

Abstract: Examples of the present disclosure provide a method, apparatus and computer program configured to cause performance of the following: detecting movement of a device; detecting at least one ambient condition of the device; and determining whether to trigger an alert in dependence upon the detected movement and the detected at least one ambient condition.

Abstract: An approach for providing mapping information and route information based on exception information received from various users travelling within a common area is described. A navigation system processes travel information associated with one or more devices for comparison against predetermined route information. The navigation system also determines one or more exceptions based, at least in part, on the comparison. The predetermined route information, mapping information, or a combination thereof it then caused to be updated based, at least in part, on the processing of the one or more exceptions.

Abstract: The approach involves determining vision capability information for one or more occupants of at least one vehicle. The approach also involves processing and/or facilitating a processing of the vision capability information to determine an estimated comfortable operational configuration for the at least one vehicle. The approach involves determining a maximum operational configuration for the at least one vehicle. The approach also involves determining a recommended operational configuration for the at least one vehicle based, at least in part, on the estimated comfortable operational configuration and the maximum operational configuration.