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1.发明申请公开(公告)号：US20200265709A1
公开(公告)日：2020-08-20
申请号：US16280152
申请日：2019-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Michael A. Losh , Aravindhan Mani
Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.
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Patent Agency Ranking
公开(公告)号：US11307039B2
公开(公告)日：2022-04-19
申请号：US16439188
申请日：2019-06-12
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Michael A. Losh , Aravindhan Mani , Upali P. Mudalige
Abstract: A system for generating a map includes a processing device configured to determine a provenance of each received map of a plurality of maps, parse each received map into objects of interest, and compare the objects of interest to identify one or more sets of objects representing a common feature. For each set of objects, the processing device is configured to select a subset of the set of objects based on the provenance associated with each object in the set of objects, and calculate a similarity metric for each object in the subset. The similarity metric is selected from an alignment between an object and a reference object in the subset, and/or a positional relationship between the object and the reference object. The processing device is configured to generate a common object representing the common feature based on the similarity metric, and generate a merged map including the common object.
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公开(公告)号：US11869250B2
公开(公告)日：2024-01-09
申请号：US17410211
申请日：2021-08-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A Bush , Guangyu J Zou , Aravindhan Mani , Upali P Mudalige
CPC classification number: G06V20/582 , B60W60/001 , G06T3/40 , G06T7/70 , G06V10/22 , B60W2420/42 , B60W2420/52 , B60W2552/00 , G06T2207/20084
Abstract: Systems and methods of detecting a traffic object outside of a vehicle and controlling the vehicle. The systems and methods receive perception data from a sensor system included in the vehicle, determine a focused Region Of Interest (ROI) in the perception data, scale the perception data of the at least one focused ROI, process the scaled perception data of the focused ROI using a neural network (NN)-based traffic object detection algorithm to provide traffic object detection data, and control at least one vehicle feature based, in part, on the traffic object detection data.
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4.发明授权公开(公告)号：US11205343B2
公开(公告)日：2021-12-21
申请号：US16280152
申请日：2019-02-20
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Michael A. Losh , Aravindhan Mani
Abstract: Systems and methods are provided for interpreting traffic information by a vehicle. In one embodiment, a method includes: receiving, by a processor, sensor data from one or more sensing devices of the vehicle, where the sensor data depicts a traffic device in an environment of the vehicle; receiving, by the processor, map data associated with the environment of the vehicle, where the map data includes traffic devices; matching, by the processor, the traffic device of the sensor data with a traffic device of the map data; determining, by the processor, a probability distribution of a traffic signal associated with the matched traffic devices based on a Hidden Markov model (HMM); and planning, by the processor, control of the vehicle based on the probability distribution.
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公开(公告)号：US20230068046A1
公开(公告)日：2023-03-02
申请号：US17410211
申请日：2021-08-24
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Guangyu J. Zou , Aravindhan Mani , Upali P. Mudalige
Abstract: Systems and methods of detecting a traffic object outside of a vehicle and controlling the vehicle. The systems and methods receive perception data from a sensor system included in the vehicle, determine a focused Region Of Interest (ROI) in the perception data, scale the perception data of the at least one focused ROI, process the scaled perception data of the focused ROI using a neural network (NN)-based traffic object detection algorithm to provide traffic object detection data, and control at least one vehicle feature based, in part, on the traffic object detection data.
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公开(公告)号：US20200149896A1
公开(公告)日：2020-05-14
申请号：US16186021
申请日：2018-11-09
Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC
Inventor： Lawrence A. Bush , Michael A. Losh , Brent N. Bacchus , Aravindhan Mani
Abstract: A method for autonomous vehicle map construction includes automatically capturing location data, movement data, and perception data from a vehicle that has traveled down a road, wherein the perception data includes data that identifies the location of lane edges and lane markers for the road, the location of traffic signs associated with the road, and the location of traffic signaling devices for the road. The method further includes pre-processing to associate the captured perception data with the captured location data, captured movement data, and navigation map data; determining, from the pre-processed data, lane boundary data, traffic device and sign location data, and lane level intersection data that connects the intersecting and adjoining lanes identified through the lane boundary data; and storing the lane boundary data, traffic device and sign location data, and lane level intersection data in a map file configured for use by an autonomous vehicle.
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