SYSTEM AND METHOD FOR DETECTING ACTIVE ROAD WORK ZONES

    公开(公告)号:US20240200975A1

    公开(公告)日:2024-06-20

    申请号:US18085176

    申请日:2022-12-20

    CPC classification number: G01C21/3822 G01C21/3691 G01C21/3841

    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.

    SYSTEM AND METHOD FOR DETERMINING ROAD WORK ZONE START LOCATION

    公开(公告)号:US20240194056A1

    公开(公告)日:2024-06-13

    申请号:US18077734

    申请日:2022-12-08

    CPC classification number: G08G1/0112 G06V20/58 G06Q50/08

    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.

    SYSTEM AND METHOD FOR DETECTING A ROAD WORKS ZONE

    公开(公告)号:US20240191998A1

    公开(公告)日:2024-06-13

    申请号:US18077035

    申请日:2022-12-07

    CPC classification number: G01C21/3407 G01C21/3815 G08G1/0137

    Abstract: The disclosure provides a system, a method, and a computer program product for updating map data. The system, for example, receives, from one or more user equipment, at least one road works observation. The at least one road works observation is associated with a road works object. Further, the system, determines a first lane and a second lane. Further, the first lane is associated with the at least one road works observation and the second lane is associated with the road works object. Further, the system determines traffic density associated with a region in vicinity of the road works object. Further, the system detects the road works zone based on the first lane, the second lane and the traffic density.

    METHOD AND A SYSTEM FOR PREDICTING AN ACCIDENT OF A VEHICLE

    公开(公告)号:US20240123980A1

    公开(公告)日:2024-04-18

    申请号:US17968590

    申请日:2022-10-18

    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.

    METHOD AND APPARATUS FOR SUPPRESSING A FALSE POSITIVE ROADWORK ZONE

    公开(公告)号:US20240221498A1

    公开(公告)日:2024-07-04

    申请号:US18091760

    申请日:2022-12-30

    CPC classification number: G08G1/0125 B60W60/001

    Abstract: An approach is provided for suppressing false positive reports of detectable road events. For example, the approach involves receiving a detection of a roadwork zone and a time-to-live period associated with the roadwork zone. The approach also involves receiving a subsequent observation of the roadwork zone. The subsequent observation is generated based on sensor data captured by at least one sensor associated with at least one vehicle traveling within proximity of the roadwork zone. The approach further involves classifying the subsequent observation as a false positive observation based on determining that the subsequent observation is created after the time-to-live period. The approach further involves initiating a blacklisting of the roadwork zone as a false positive roadwork zone based on the false positive observation. The approach further involves providing the blacklisting as an output.

    METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR ANONYMIZING SENSOR DATA

    公开(公告)号:US20240094010A1

    公开(公告)日:2024-03-21

    申请号:US17933607

    申请日:2022-09-20

    CPC classification number: G01C21/32 G08G1/0112

    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.

    METHOD, APPARATUS, AND SYSTEM FOR DETERMINING A BICYCLE LANE DEVIATION FOR AUTONOMOUS VEHICLE OPERATION

    公开(公告)号:US20230206767A1

    公开(公告)日:2023-06-29

    申请号:US17564944

    申请日:2021-12-29

    CPC classification number: G08G1/166 G08G1/167 B60W60/0015 G01C21/30

    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.

    METHODS AND SYSTEMS FOR DETECTING AN ENVIRONMENTAL ZONE IN A REGION

    公开(公告)号:US20220178711A1

    公开(公告)日:2022-06-09

    申请号:US17112380

    申请日:2020-12-04

    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.

    METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC INCIDENT VERIFICATION

    公开(公告)号:US20240271962A1

    公开(公告)日:2024-08-15

    申请号:US18109052

    申请日:2023-02-13

    CPC classification number: G01C21/3889 G01C21/3867 G01C21/387

    Abstract: An approach for traffic incident verification involves receiving a traffic message channel (TMC) message indicating a traffic incident. The TMC message indicates an extent of the traffic incident in a road graph using TMC location code(s)/offset(s). The approach also involves matching the TMC location code(s)/offset(s) to a first set of map road link(s) and offset(s) of a geographic database, determining sensor data collected from vehicle(s) travelling within the road graph. The sensor data indicates the extent as location point(s) of topology segment(s) (TSs) and TS offset(s), matching the location point(s) of the TS(s) and TS offset(s) to a second set of map road link(s) and offset(s) of the geographic database, determining an intersection set between the first and second sets, and initiating a confirmation of the traffic incident reported in the TMC message based on the sensor data of the location point(s) of the TSs in the intersection set.

    SYSTEM AND METHOD FOR GENERATING NAVIGATION INSTRUCTIONS

    公开(公告)号:US20240191999A1

    公开(公告)日:2024-06-13

    申请号:US18077049

    申请日:2022-12-07

    CPC classification number: G01C21/3415 G01C21/343 G01C21/3667 G01C21/3691

    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.

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