Systems and methods for matching objects in collaborative perception messages

    公开(公告)号:US11765562B2

    公开(公告)日:2023-09-19

    申请号:US17498201

    申请日:2021-10-11

    IPC分类号: H04W4/46 H04W4/12

    CPC分类号: H04W4/46 H04W4/12

    摘要: A method of matching objects in collaborative perception messages is provided. The method includes obtaining a first collaborative perception message (CPM) message from a first node, obtaining a second CPM from a second node, calculating an adaptive threshold based on uncertainty of the first CPM and uncertainty of the second CPM, calculating scores for pairs of objects, each of the pairs of objects including one object in the first CPM and one object in the second CPM, filtering out one or more pairs whose score is greater than the adaptive threshold to obtain a filtered matrix; and implementing a fusion algorithm on the filtered matrix to obtain correspondence identification among objects.

    SYSTEMS AND METHODS FOR MATCHING OBJECTS IN COLLABORATIVE PERCEPTION MESSAGES USING MULTIPLE ADAPTIVE THRESHOLDS

    公开(公告)号:US20230113322A1

    公开(公告)日:2023-04-13

    申请号:US17498238

    申请日:2021-10-11

    IPC分类号: G08G1/09 H04W4/46

    摘要: A method includes calculating a first adaptive threshold based on uncertainty of a first parameter of a first collaborative perception message (CPM) from a first node and uncertainty of the first parameter of a second CPM from a second node, calculating a second adaptive threshold based on uncertainty of a second parameter of the first CPM and uncertainty of the second parameter of the second CPM, obtaining a first association matrix by filtering out one or more pairs whose score is greater than the first adaptive threshold, obtaining a second association matrix by filtering out one or more pairs whose score is greater than the second adaptive threshold, obtaining a fused association matrix based on the first association matrix and the second association matrix, and implementing a fusion algorithm on the fused associated matrix to obtain correspondence identification among objects.

    COOPERATIVE PSEUDO POINT CLOUD FOR CONNECTED VEHICLES

    公开(公告)号:US20230098141A1

    公开(公告)日:2023-03-30

    申请号:US17490354

    申请日:2021-09-30

    摘要: System, methods, and embodiments described herein relate to dynamically generating a wide field-of-view three-dimensional pseudo point cloud of an environment around a vehicle. A disclosed method may include capturing, via a camera, a first view in a first image, determining a first depth map based on the first image, obtaining, from an external system, a second image of a second view that overlaps the first view and a second depth map based on the second image, inputting the first image and second image into a self-supervised homograph network that is trained to output a homographic transformation matrix between the first image and the second image, and generating a three-dimensional pseudo point cloud that combines the first depth map and the second depth map based on the homographic transformation matrix.

    SYSTEMS AND METHODS FOR COOPERATIVELY MANAGING MIXED TRAFFIC AT AN INTERSECTION

    公开(公告)号:US20220327935A1

    公开(公告)日:2022-10-13

    申请号:US17229203

    申请日:2021-04-13

    IPC分类号: G08G1/00 G08G1/16 G05D1/02

    摘要: Systems and methods for cooperatively managing mixed traffic at an intersection are disclosed herein. One embodiment determines, at an autonomous sensor-rich vehicle, that one or more other vehicles are following in the same lane, the one or more other vehicles including at least one legacy vehicle; communicates with the one or more other vehicles to form a platoon; receives Signal Phase and Timing (SpaT) information from a roadside unit associated with an intersection toward which the platoon is traveling; calculates at the autonomous sensor-rich vehicle, based at least in part on the SPaT information and location information for the platoon, a speed profile and a trajectory for the autonomous sensor-rich vehicle that minimize a delay of the platoon in traversing the intersection while accounting for fuel consumption; and executes the speed profile and the trajectory to control indirectly the one or more other vehicles while the platoon traverses the intersection.

    COOPERATIVE DRIVING SYSTEM AND METHOD

    公开(公告)号:US20220258732A1

    公开(公告)日:2022-08-18

    申请号:US17174998

    申请日:2021-02-12

    摘要: A cooperative driving system includes a processor and a memory having one or more modules. The modules cause the processor to determine a route that includes a road segment to a destination for an ego vehicle based on (1) an ego vehicle operating parameter that has information regarding a preferred operation of an ego vehicle by an occupant, and (2) a location of a like vehicle with respect to the ego vehicle when the ego vehicle is traveling on at least a portion of the route. The one or more modules also cause the processor to determine a road-segment-level decision for the ego vehicle for the road segment based on the ego vehicle operating parameter, communicate with the like vehicle near the road segment to negotiate the road-segment-level decision to generate a negotiated road-segment-level decision, and maneuver the ego vehicle inside the road segment using the negotiated road-segment-level decision.

    Systems and methods for traffic flow prediction

    公开(公告)号:US11238729B1

    公开(公告)日:2022-02-01

    申请号:US17018678

    申请日:2020-09-11

    IPC分类号: G08G1/09 G08G1/01 G06N3/08

    摘要: A method of generating a traffic prediction includes receiving traffic data from a plurality of reporting sources, forming a plurality of initial graphs, generating a plurality of completed graphs based on the plurality of initial graphs by at least removing noise from the plurality of initial graphs, generating a plurality of feature vectors that represent spatial relationships and temporal relationships in the plurality of completed graphs, outputting a first feature vector corresponding to a first time window as a first output, caching a copy of the first feature vector with a set of feature vectors of the plurality of feature vectors corresponding to a second time window, connecting the first feature vector with the set of feature vectors, outputting the result as a second output, fusing the first output with the second output and generating a traffic prediction based on the fused outputs.

    PEDESTRIAN NAVIGATION BASED ON VEHICULAR COLLABORATIVE COMPUTING

    公开(公告)号:US20210233406A1

    公开(公告)日:2021-07-29

    申请号:US16776443

    申请日:2020-01-29

    发明人: Hongsheng Lu Rui Guo

    摘要: The disclosure includes embodiments for pedestrian navigation by a group of connected vehicles executing a collaborative computing process. In some embodiments, a method includes analyzing pedestrian data generated by a pedestrian device and sensor data generated by the group of connected vehicles to determine digital twin data from a set that correlates with a scenario described by the pedestrian data and the sensor data. The digital twin data is an output of a historical digital twin simulation. The method includes predicting, based on the digital twin data, that the pedestrian is at risk of a collision. The method includes determining modified path data describing a modified walking path for the pedestrian. The method includes transmitting the modified path data to the pedestrian device so that the pedestrian is informed about the modified walking path and the risk is modified.