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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.
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公开(公告)号：US11943760B2
公开(公告)日：2024-03-26
申请号：US17382514
申请日：2021-07-22
发明人： Rui Guo , Hongsheng Lu , Prashant Tiwari
IPC分类号： H04W72/1263 , H04W4/46
CPC分类号： H04W72/1263 , H04W4/46
摘要： A method for data sharing between a transmitter vehicle and a receiver vehicle includes obtaining sensor data, encoding the sensor data into structured data having a set of features and a set of channels, generating a channel attention map based on inter-channel relationships of the set of features, generating weights corresponding to channels of the channel attention map, selecting one or more channels among the set of channels based on the weights corresponding to the set of channels, and transmitting the selected channels to the receiver vehicle.
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公开(公告)号：US11659372B2
公开(公告)日：2023-05-23
申请号：US16943421
申请日：2020-07-30
发明人： Hongsheng Lu , Rui Guo
摘要： The disclosure includes embodiments for adaptive sensor data sharing by a connected vehicle. A method includes calculating, by a processor of an ego vehicle, a view angle overlap between a first sensor of the ego vehicle and a second sensor of a roadway device, wherein the view angle overlap is an amount of sensor view overlap shared by first sensor and the second sensor. The method includes determining an amount of ego sensor data to share with the roadway device based on the view angle overlap. The method includes building a sharing message that includes the amount of ego sensor data in a payload of the sharing message. The method includes transmitting, by a communication unit of the ego vehicle, the sharing message to the roadway device.
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公开(公告)号：US20220405530A1
公开(公告)日：2022-12-22
申请号：US17351755
申请日：2021-06-18
发明人： Kareem Metwaly , Rui Guo , Xuewei Qi , Kentaro Oguchi
摘要： System, methods, and other embodiments described herein relate to training a model to stylize low-light images for improved perception. In one embodiment, a method includes encoding, by a style model, an input image to identify first content information. The method also includes decoding, by the style model, the first content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes training the style model according to computed losses between the input image and the synthetic image.
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公开(公告)号：US11468688B2
公开(公告)日：2022-10-11
申请号：US16944891
申请日：2020-07-31
发明人： Bin Cheng , Hongsheng Lu , Rui Guo
摘要： Two vehicles—an ego vehicle and an other vehicle—can share sensor data in a streamlined manner. One or more sensors can be configured to acquire first environment data of an external environment of the ego vehicle. A data summary based on second environment data of an external environment of the other vehicle can be received. Whether there is a common region of sensor coverage between the ego vehicle and the other vehicle can be determined. In response to there being a common region, the first environment data that is located within the common region can be identified and the resolution level of the identified first environment data can be reduced. The first environment data that has the reduced resolution level and a remainder of the first environment data excluding the identified first environment data can be transmitted to the other vehicle.
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16.发明申请公开(公告)号：US20220277647A1
公开(公告)日：2022-09-01
申请号：US17186401
申请日：2021-02-26
发明人： Rui Guo , Kentaro Oguchi , Takamasa Higuchi , Xuewei Qi , Seyhan Ucar , Haritha Muralidharan
摘要： Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.
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公开(公告)号：US11288520B2
公开(公告)日：2022-03-29
申请号：US16912033
申请日：2020-06-25
发明人： Qiang Liu , Baekgyu Kim , Rui Guo
摘要： A method includes receiving sensor data, with one or more sensor of a vehicle, wherein the sensor data is associated with an environment of the vehicle, detecting an object based on the sensor data, determining pixel coordinates of the object based on the sensor data, converting the pixel coordinates of the object to world coordinates of the object, extracting a set of features associated with the object, and transmitting the set of features and the world coordinates to a remote computing device.
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公开(公告)号：US20220068123A1
公开(公告)日：2022-03-03
申请号：US17005824
申请日：2020-08-28
发明人： Rui Guo , Hongsheng Lu , Ahmed H. Sakr , Prashant Tiwari
摘要： System, methods, and other embodiments described herein relate to improving monitoring of traffic flows. In one embodiment, a method includes aggregating perception data associated with a road network from information sources to a server over a network. The method also includes generating a graph structure from the perception data in association with a neural network model. The graph structure is an incomplete representation of the road network in view of missing data. The method also includes completing the graph structure using the neural network model that forms a graph model of the traffic flows to de-noise the graph structure according to road constraints between two points in the road network. The method also includes communicating the graph model of the traffic flows to a vehicle to navigate traffic in the road network.
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19.发明授权公开(公告)号：US11182652B2
公开(公告)日：2021-11-23
申请号：US16542715
申请日：2019-08-16
发明人： Rui Guo , Hongsheng Lu , Prashant Tiwari
摘要： An embodiment of the present disclosure takes the form of a method carried out by a perception-network device. The perception-network device provides a first perspective view of a scene to a first branch of a neural network, and generates a feature map via the first branch based on the first perspective view. The perception-network device augments the generated feature map with features of a complementary feature map generated by a second branch of the neural network provided with a second perspective view of the scene. The perception-network device generates a perception inference via the neural network based on the augmented feature map.
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20.发明申请公开(公告)号：US20210245773A1
公开(公告)日：2021-08-12
申请号：US16784084
申请日：2020-02-06
发明人： Hongsheng Lu , Rui Guo
摘要： The disclosure includes embodiments for vehicular cooperative perception for identifying a subset of connected vehicles from a plurality to aid a pedestrian. In some embodiments, a method includes analyzing pedestrian data to determine a scenario depicted by the pedestrian data and a subset of the connected vehicles from the plurality that have a clearest line of the pedestrian. The method includes identifying a group of conflicted vehicles from the subset whose driving paths conflict with a walking path of the pedestrian. The method includes determining, based on the scenario, digital twin data describing a digital twin simulation that corresponds to the scenario. The method includes determining, based on the digital twin data and the pedestrian data, a group of modified driving paths for the group of conflicted vehicles. The method includes causing the group of conflicted vehicles to travel in accordance with the group of modified driving paths.
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