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公开(公告)号：USD973709S1
公开(公告)日：2022-12-27
申请号：US29757715
申请日：2020-11-09
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公开(公告)号：US11531114B2
公开(公告)日：2022-12-20
申请号：US16903361
申请日：2020-06-16
发明人： Velin Dimitrov
IPC分类号： G01S17/931 , G05D1/02 , G01S17/89
摘要： Systems and methods for imaging may include: receiving a first point cloud from a first LiDAR sensor mounted at a first location behind a vehicle grille, the first point cloud representing the scene in front of the vehicle, wherein as a result of the grille the scene represented by the first point cloud data is partially occluded with a first pattern of occlusion; receiving a second point cloud from a second LiDAR sensor mounted at a second location behind the vehicle grille; combining the first and second point clouds to generate a composite point cloud data set, wherein the first LiDAR sensor is located relative to the second LiDAR sensor such that when a point cloud data for the first optical sensor and the second optical sensor are combined, the first pattern of occlusion is at least partially compensated; and processing the combined point cloud data set.
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公开(公告)号：US11524701B2
公开(公告)日：2022-12-13
申请号：US16834233
申请日：2020-03-30
发明人： Stephen G. McGill , Paul Drews , Guy Rosman
IPC分类号： B60W60/00 , G05D1/00 , G05D1/02 , B60W30/18 , B60W40/06 , G05B13/02 , G06N3/08 , G06N3/04 , B60W40/04
摘要： A method includes encapsulating a current state of a road portion into a voxel grid, a first dimension of the voxel grid being associated with a first spatial dimension of the road portion, a second dimension of the voxel grid being associated with a second spatial dimension of the road portion, and a third dimension of the voxel grid comprising a plurality of feature layers, wherein each feature layer is associated with a feature of the road portion. The voxel grid may be input into a trained neural network and a future state of the road portion may be predicted based on an output of the neural network.
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公开(公告)号：US20220379858A1
公开(公告)日：2022-12-01
申请号：US17335497
申请日：2021-06-01
发明人： YAN MING JONATHAN GOH , JOHN SUBOSITS , MICHAEL THOMPSON , ALEXANDER R. GREEN , AVINASH BALACHANDRAN
IPC分类号： B60T8/1755 , B60T8/171 , B60T8/24
摘要： Systems and methods for controlling a vehicle may include receiving sensor data from a plurality of sensors, the sensor data including vehicle parameter information for the vehicle; using the sensor data to determine a vehicle state for a vehicle negotiating a corner, wherein the vehicle state comprises information regarding a magnitude of an effective understeer gradient for the vehicle; computing a yaw moment required to correct the effective understeer gradient based on the magnitude of the effective understeer gradient; and applying a brake torque to a single wheel of the vehicle, wherein an amount of brake torque applied is sufficient to lock up the single wheel to create a yaw moment on the vehicle to achieve the computed yaw moment required to correct the effective understeer gradient.
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公开(公告)号：US20220379690A1
公开(公告)日：2022-12-01
申请号：US17334898
申请日：2021-05-31
摘要： Systems and methods for guiding a vehicle occupant's attention are disclosed herein. One embodiment selects automatically a particular region of an environment external to a vehicle and guides an occupant of the vehicle to look at the particular region by automatically adjusting the transparency of one or more windows of the vehicle such that a first portion of the one or more windows through which the occupant is able to see the particular region is more transparent than a second portion of the one or more windows that is adjacent to the first portion.
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公开(公告)号：US11511751B2
公开(公告)日：2022-11-29
申请号：US16888330
申请日：2020-05-29
发明人： Daniele Molinari
摘要： A method of improving a merging efficiency of an ego vehicle is described. The method includes determining one or more merge gaps between vehicles in a target lane of a multilane highway. The method also includes computing an exposure time in which the ego vehicle is specified to merge into the one or more merge gaps. The method further includes selecting a merge gap between a first vehicle and a second vehicle in the target lane of the multilane highway having a maximum exposure time.
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公开(公告)号：US11498564B2
公开(公告)日：2022-11-15
申请号：US16997391
申请日：2020-08-19
IPC分类号： B60W30/18 , B60W30/188 , B60W50/14 , B60W40/114 , B60W40/103
摘要： Coordinates of a point, representing a current pair of states of a vehicle, can be determined to be outside of a first curve. An interior of the first curve, representing a first region of operation of the vehicle, can be characterized by values of forces produced by tires being less than a saturation force. A distance between the point and a second curve can be determined. An interior of the second curve, representing a second region of operation of the vehicle, can be characterized by an ability of an operation of a control system to cause the vehicle to change from being operated in the current pair of states to being operated in the first region of operation. A manner in which the vehicle changes from being operated in the current pair of states to being operated in a different pair of states can be controlled based on the distance.
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公开(公告)号：US20220355488A1
公开(公告)日：2022-11-10
申请号：US17313606
申请日：2021-05-06
摘要： Systems and methods for calibrating deformable sensors are disclosed. In one embodiment, a method of calibrating a deformable sensor includes capturing image data of the deformable sensor using an external image sensor, wherein the deformable sensor comprises a deformable membrane defining an enclosure that is configured to be filled with a medium. The method further includes comparing the image data of the deformable sensor to a metric. When the image data does not satisfy the metric, the method includes adjusting a pressure within the enclosure.
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公开(公告)号：US11494927B2
公开(公告)日：2022-11-08
申请号：US17021951
申请日：2020-09-15
摘要： Systems and methods for self-supervised depth estimation using image frames captured from a vehicle-mounted camera, may include: receiving a first image captured by the camera while the camera is mounted at a first location on the vehicle, the source image comprising pixels representing a scene of the environment of the vehicle; receiving a reference image captured by the camera while the camera is mounted at a second location on the vehicle, the reference image comprising pixels representing a scene of the environment; predicting a depth map for the first image comprising predicted depth values for pixels of the first image; warping the first image to a perspective of the camera at the second location on the vehicle to arrive at a warped first image; projecting the warped first image onto the source image; determining a loss based on the projection; and updating predicted depth values for the first image.
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110.发明授权公开(公告)号：US11493475B2
公开(公告)日：2022-11-08
申请号：US16704452
申请日：2019-12-05
发明人： Santosh Suram , John M. Gregoire , Brian Rohr , Helge Stein
IPC分类号： G01N27/413 , G06K9/62 , G06N20/00 , G05B13/04 , G05B13/02
摘要： Methods and systems described herein concern machine-learning-assisted materials discovery. One embodiment selects a candidate sample set including a plurality of compositions and performs the following operations iteratively: (1) selects an acquisition sample set, (2) performs a dark electrocatalyst experiment or a photo-electrocatalyst experiment on the compositions in the acquisition sample set to determine one or more properties, (3) trains a machine learning model using the one or more properties, and (4) predicts, based at least in part on one or more outputs of the machine learning model, the one or more properties for one or more compositions in a test sample set including compositions on which an experiment has not yet been performed. When one or more predetermined termination criteria have been satisfied, the embodiment also identifies one or more compositions in the candidate sample set for which the one or more properties satisfy predetermined performance criteria.
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