Abstract: Radio frequency (RF) sensing of a target object by a wireless network is supported by a network node that derives one or more object features for the target object using non-RF sensor measurements and reports the object features to a server for the RF sensing. The non-RF sensors, for example, may be one or more of a camera, ultra-sound sensor, lidar, barometer, etc. The object features for the target object, which may be related to the object size, position, motion, etc. may be separately reported for each non-RF technology or may be reported as a common set of object features. The object feature report may include a time stamp, and may associate an object ID for the target object with the reported object features. Some object features may be prioritized over others, and object features that do not change may not be reported in subsequent reports.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a configuration identifying a first set of frequency resources for transmitting a sounding reference signal, where the sounding reference signal may be used at least for downlink channel state information acquisition. The UE may receive an indication of an association between the configuration for the sounding reference signal and a second set of frequency resources and determine, based on the association, values for one or more sounding reference signal transmission parameters for the first set of frequency resources. The UE may transmit the sounding reference signal on the first set of frequency resources based on the determined one or more values.

Abstract: Disclosed are techniques for sensing. In an aspect, a wireless node receives or determines a time-division duplex (TDD) configuration that configures a set of contiguous downlink symbols, a set of contiguous uplink symbols and a set of contiguous cell-specific flexible symbols that follows the set of contiguous downlink symbols and precedes the set of contiguous uplink symbols. The wireless node further performs a radio frequency for sensing (RF-S) operation during one or more flexible symbols of the set of contiguous cell-specific flexible symbols.

Abstract: A method, apparatus and computer program product are provided for generating speed profiles for autonomous vehicles in safety risk situations for a road segment. In this regard, a road segment associated with a safety risk profile is identified based at least in part on road condition data related to the road segment. Furthermore, probe data is obtained from one or more probe apparatuses traveling along the road segment associated with the safety risk profile. Based at least in part on the probe data, a speed profile for modeling velocity of autonomous vehicles along the road segment is generated. Additionally, an indication of the speed profile is provided to one or more autonomous vehicles to facilitate navigation of the one or more autonomous vehicles along the road segment.

Abstract: A method, apparatus and computer program product are provided for defining a geo-defense area related to presence of a roadworker entity. In this regard, a roadwork event related to a roadwork zone region of a road segment is identified based at least in part on one or more probe apparatuses traveling along the road segment. Furthermore, presence of at least one roadworker entity within the roadwork zone region is detected based at least in part on sensor data from the one or more probe apparatuses. Based at least on part on map data related to the roadwork zone region and location data related to the roadworker entity, a geo-defense area related to the roadworker entity is defined. Additionally, an indication of the geo-defense area is provided to one or more autonomous vehicles to facilitate navigation of the one or more autonomous vehicles along the road segment.

Abstract: The disclosure provides a system, a method, and a computer program product for detecting active road work zones. The system obtains first sensor data associated with a detection of a road work zone, using a first sensor type and obtains second sensor data associated with presence of at least one individual in the road work zone, using a second sensor type. Further, the system determines a confidence level associated with the detection of the road work zone based on fusing of the first sensor data and the second sensor data. The system classifies the detected road work zone as at least one of the active road work zone or a non-active road work zone, based on the confidence level. The system updates map data associated with a map of a region based on the classification.

Abstract: The disclosure provides a method, a system, and a computer program product for predicting traffic information for at least one map tile area. The method comprises obtaining probe data and map attribute data for each of a plurality of road segments in the at least one map tile area. The method may include generating current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data. The method may further include obtaining historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area.

Abstract: A system, a method, and a computer program product may be provided for generating navigation instructions. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to retrieve sensor data associated with at least one vehicle travelling along a route having at least one intersection and map data associated with the route from a map database. The sensor data indicates intersection information relating to the at least one intersection. The intersection information comprises an intersection category and an intersection type. The map data comprises traffic-related information for a plurality of intersection connected links. The processor may be further configured to determine a turn cost correction factor for the at least one intersection, based on the sensor data and the map data. The processor may be further configured to store the turn cost correction factor within the map database.

Abstract: A system, a method, and a computer program product may be provided for generating traffic congestion data for a road in a region. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to obtain probe data and map data. The processor may be further configured to generate traffic condition data for the road. The processor may be further configured to determine speed changes data associated with one or more vehicles. The processor may be further configured to calculate congestion length, time period, congestion speed for the one or more vehicles to reach a non-congestion state from a congestion state. The processor may be further configured to generate the traffic congestion data, based on the speed changes data, congestion length, a time period and congestion speed associated with the one or more vehicles on the road.

Abstract: The disclosure provides a system, a method, and a computer program product for detecting a road work zone. The method comprises detecting a road object based on sensor data and map data. The method may include determining a first location associated with the road object based on location of a vehicle capturing the road object at a time of road object sighting and the sensor data. The method may include, based on image data captured by the vehicle at the time of road object sighting, determining a road object type and supplemental information associated with the road object. The method further includes, detecting the road work zone based on the first location, the road object type, and the supplemental information.

Abstract: An approach is provided for identifying and characterizing mobile work zones (e.g., roadway striping, pothole filling, tree trimming, etc.). The approach, for example, involves processing probe data at a lane level to determine at least one forward forming shockwave associated with a congestion front of a mobile roadwork zone on at least one lane. The approach also involves providing data indicating the mobile roadwork zone as an output. The approach further involves determining a propagation rate of the mobile roadwork zone. The approach further involves determining a congestion recovery speed, where the congestion is caused by the mobile roadwork zone.

Abstract: The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, obtains sensor data from one or more user equipment. The sensor data is associated with a road object. Further, the system, determines a first location of a road observation sight and a second location of the road object based on a timestamp associated with the first location. Further, a distance associated with the second location of the road object and a center point of a link, is calculated. The link is a map matched link associated with the second location. Further, the system updates the map data based on the calculated distance.

Abstract: Methods and systems for simulating a stent in a coronary artery lumen structure are disclosed. A method of simulating a stent in a coronary artery lumen structure, the method comprises: reconstructing a three-dimensional coronary artery tree from segmented coronary lumen contours; replacing part of the three-dimensional artery tree with a candidate stent structure; and simulating pressure distribution through the coronary artery tree to determine a non-invasive fractional flow reserve through the candidate stent structure.

Abstract: An approach is provided for traffic Signal Phase and Timing (SPaT) verification using sensor data and probe data. The approach involves, for instance, retrieving image data captured using a sensor of a vehicle traveling within proximity of a traffic light. The approach also involves processing the image data to identify at least one transition of the traffic light between one or more traffic light states. The approach further involves determining a transition time, a cycle time, or a combination thereof between the one or more traffic light states based on the identified at least one transition of the traffic light. The approach further involves performing a comparison of signal phase and timing (SPaT) data of the traffic light with the transition time, the cycle time, or a combination thereof and providing the comparison of the SPaT data as an output.

Abstract: An approach is provided for traffic data blending based on road segment travel time reliability during traffic prediction. The approach involves, for instance, retrieving real-time traffic information and/or historical traffic information for each road segment within a geographic area. The approach also involves aggregating traffic flow speed data in the real-time traffic information to compute traffic pattern data for each road segment. The traffic pattern data includes static speed data of each said road segment. The approach further involves aggregating traffic flow speed data in the historical traffic information to compute travel time reliability index metric(s) for each said road segment. The approach further involves determining, based on the travel time reliability index metric(s), to use the traffic pattern data, a mean, or a percentile of a road segment travel time distribution in the historical traffic information for traffic prediction associated with each said road segment.

Abstract: An approach is provided for determining road work zone travel time reliability based on vehicle sensor data. The approach involves, for instance, aggregating telematic data generated by vehicles traveling within a geographic area, to detect a road work zone and/or active time period(s) thereof. The approach also involves identifying a start location and an end location of the road work zone. The approach further involves identifying a starting time point when one of the vehicles approaching the start location and an end time point when the vehicle passes the end location. The approach further involves calculating a time difference between the start and end time points as a travel time through the road work zone. The approach further involves aggregating the vehicle travel times, to compute work zone travel time reliability index(es) for the road work zone. The approach further involves providing the travel time reliability index(es) as an output.

Abstract: A system, a method, and a computer program product may be provided for generating traffic congestion estimation data of one or more lanes in a region. A system may include a memory configured to store computer program code and a processor configured to execute the computer program code to obtain image data associated with the region. The processor may be configured to determine a count of one or more first movable objects in one or lanes, based on image data, calculate a lane object static capacity of the one or more lanes, based on one or more map free flow or speed limit attributes associated with the one or more lanes and generate the traffic congestion estimation data based on count of first movable objects in the one or more lanes, the moving speed of movable objects crossing multiple image frames, the lane object static capacity of lanes.

Abstract: An automatic breastfeeding method of a premature infant is disclosed, which includes a preparation stage, an active lactation stage, a passive lactation stage and a rest stage. The invention also provides an automatic breastfeeding machine used for the automatic breastfeeding method of a premature infant, comprising a stomach tube, a lactation supply device, a detector and a control device. According to the invention, a self-sucking ability of the premature infant is trained, normal circulation of a mouth-pharyngeal-gastric-intestinal reflex of the premature infant is realized, and nutritional requirements of the premature infant are ensured in the case of taking differences of the premature infants into account, so that the premature infants have no difference with term infants in care, diet, neurological development and growth and development in the future.

Abstract: A method, a system, and a computer program product are provided for predicting road closure in a region. The method comprises obtaining, probe data, such as sensor data, and map data, for the region. The method may include detecting a change in speed of a one or more vehicle on a road, based on the obtained probe data and the obtained map data for the region, wherein the change in speed is associated with a slowdown event associated with the one or more vehicles. The method may include identifying a vehicle event on the road based on the detected change in speed of the one or more vehicles, wherein the vehicle event is associated with a location corresponding to a matching trajectory of the one or more vehicles and predicting the road closure based on the identified vehicle event.