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公开(公告)号：US11422534B2
公开(公告)日：2022-08-23
申请号：US17121107
申请日：2020-12-14
申请人： Argo AI, LLC
IPC分类号： G06F1/00 , G05B19/4155 , G06F1/20
摘要： Systems, methods, and computer-readable media are disclosed for a systems and methods for improved LIDAR return light capture efficiency. One example method may include comparing, by a controller including a processor and at a first time, a first temperature of a first computing element to a first threshold temperature and a second temperature of a second computing element to a second threshold temperature. The example method may also include sending, based on a determination that the first temperature is below the first threshold temperature and the second temperature is above the second threshold temperature, a first signal to a switch to activate a data output corresponding to the second computing element. The example method may also include sending, to the second computing element, a second signal to cause a third computing element to increase heat dissipation from the third computing element to the first computing element. The example method may also include receiving, from the first computing element, a third temperature of the first computing element at a second time. The example method may also include comparing the third temperature of the first computing element to the first threshold temperature. The example method may also include determining that the third temperature of the first computing element is at or above the first threshold temperature at the second time. The example method may also include sending, based on a determination that that the third temperature is at or above the first threshold temperature, a third signal to the switch to activate a data output corresponding to the first computing element.
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公开(公告)号：US11420647B2
公开(公告)日：2022-08-23
申请号：US16993093
申请日：2020-08-13
申请人： Argo AI, LLC
发明人： Kevin L. Wyffels
摘要： Devices, systems, and methods are provided for classifying detected objects as static or dynamic. A device may determine first light detection and ranging (LIDAR) data associated with a convex hull of an object at a first time, and determine second LIDAR data associated with the convex hull at a second time after the first time. The device may generate, based on the first LIDAR data and the second LIDAR data, a vector including values of features associated with the first convex hull and the second convex hull. The device may determine, based on the vector, a probability that the object is static. The device may operate a machine based on the probability that the object is static.
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53.发明授权公开(公告)号：US11414130B2
公开(公告)日：2022-08-16
申请号：US16597273
申请日：2019-10-09
申请人： Argo AI, LLC
摘要： A method and a system for maneuvering an autonomous vehicle is disclosed. The system includes an autonomous vehicle including one or more sensors and a processor. The processor is configured to generate a nominal route from a start position toward a destination with reference to a road network map. The nominal route includes a plurality of consecutive lane segments from the start position to the destination. The processor is further configured to use the road network map to identify at least one candidate lane segment corresponding to one or more of the plurality of consecutive lane segments to generate an expanded route representation, generate a multi-corridor representation of a local region around the autonomous vehicle while travelling on the nominal path, and generate a trajectory for the autonomous vehicle to traverse the local region using the multi-corridor representation and perception data corresponding to the autonomous vehicle.
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公开(公告)号：US20220230021A1
公开(公告)日：2022-07-21
申请号：US17150768
申请日：2021-01-15
申请人： Argo AI, LLC
摘要： Systems and methods for on-board selection of data logs for training a machine learning model are disclosed. The system includes an autonomous vehicle having a plurality of sensors and a processor. The processor receives a plurality of unlabeled images from the plurality of sensors, a machine learning model, and a loss function corresponding to the machine learning model. For each of the plurality of images, the processor then determines one or more predictions using the machine learning model, compute an importance function based on the loss function and the one or more predictions, and transmit that image to a remote server for updating the machine learning model when a value of the importance function is greater than a threshold.
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公开(公告)号：US20220221585A1
公开(公告)日：2022-07-14
申请号：US17148691
申请日：2021-01-14
申请人： Argo AI, LLC
发明人： Hsin Miao , Willibald Brems , Dikpal Reddy
IPC分类号： G01S17/931 , G01S7/487 , G01S7/48
摘要： Systems and methods for generating operating an autonomous vehicle. The methods comprise: obtaining LiDAR point cloud data generated by a LiDAR system of the autonomous vehicle; inspecting the LiDAR point cloud data to infer a health of LiDAR beams; identifying bad quality point cloud data based on the inferred health of the LiDAR beams; removing the bad quality point cloud data from the LiDAR point cloud data to generate modified LiDAR point cloud data; and causing the autonomous vehicle to perform at least one autonomous driving operation or mode change based on the modified LiDAR point cloud data.
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公开(公告)号：US20220219682A1
公开(公告)日：2022-07-14
申请号：US17146836
申请日：2021-01-12
申请人： Argo AI, LLC
发明人： Mark Ollis
IPC分类号： B60W30/09 , G05D1/02 , B60W60/00 , B60W30/095 , G06K9/00
摘要： Systems and methods are provided for navigating a vehicle to veer around a lane obstruction safely into a neighboring lane. The system may plan a trajectory around the obstructed lane. Over a temporal horizon, the system determines temporal margins by measuring an amount of time between a predicted state of a moving actor in the neighboring lane and a predicted state of the vehicle. The system identifies a minimum temporal margin of the temporal margins and determines whether the minimum temporal margin is equal to or larger than a required temporal buffer. If the minimum temporal margin is equal to or larger than the required temporal buffer, the system generates a motion control signal to cause the vehicle to follow the trajectory to veer around the obstruction into the neighboring lane. Otherwise, the system generates a motion control signal to cause the vehicle to reduce speed or stop.
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公开(公告)号：US20220212694A1
公开(公告)日：2022-07-07
申请号：US17143509
申请日：2021-01-07
申请人： Argo AI, LLC
摘要： A system includes a computing device of an autonomous vehicle and a computer-readable storage medium that includes one or more programming instructions. The system identifies one or more lead objects located in front of the autonomous vehicle, and, for each of the one or more lead objects that are identified, determines an action type associated with the lead object which is used to generate a longitudinal plan for the autonomous vehicle.
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公开(公告)号：US20220188553A1
公开(公告)日：2022-06-16
申请号：US17118768
申请日：2020-12-11
申请人： Argo AI, LLC
发明人： Neetu Agarwal , Ravi Basavaraj , Richard L. Kwant
摘要： Systems and methods are provided for operating a vehicle, is provided. The method includes, by a vehicle control system of the vehicle, identifying map data for a present location of the vehicle using a location of the vehicle and pose and trajectory data for the vehicle, identifying a field of view of a camera of the vehicle, and analyzing the map data to identify an object that is expected to be in the field of view of the camera. The method further includes, based on (a) a class of the object, (b) characteristics of a region of interest in the field of view of the vehicle, or (c) both, selecting an automatic exposure (AE) setting for the camera. The method additionally includes causing the camera to use the AE setting when capturing images of the object, and using the camera, capturing the images of the object.
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59.发明授权公开(公告)号：US11354473B1
公开(公告)日：2022-06-07
申请号：US17160758
申请日：2021-01-28
申请人： Argo AI, LLC
发明人： Jason Ziglar
IPC分类号： G06F30/327 , G06F8/20 , G06F30/337 , G06F117/08
摘要： Systems and methods for designing a robotic system architecture are disclosed. The methods include defining a software graph including a first plurality of nodes, and a first plurality of edges representative of data flow between the first plurality of tasks, and defining a hardware graph including a second plurality of nodes, and a second plurality of edges. The methods may include mapping the software graph to the hardware graph, modeling a latency associated with a computational path included in the software graph for the mapping between the software graph and the hardware graph, allocating a plurality of computational tasks in the computational path to a plurality of the hardware components to yield a robotic system architecture using the latency, and using the robotic system architecture to configure the robotic device to be capable of performing functions corresponding to the software graph.
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公开(公告)号：US20220164245A1
公开(公告)日：2022-05-26
申请号：US17102303
申请日：2020-11-23
申请人： Argo AI, LLC
发明人： John Lepird , Lorenzo Nardi , Andrew T. Hartnett
摘要： A system includes an on-board electronic device of an autonomous vehicle, and a computer-readable medium having one or more programming instructions. The system receives one or more forecast messages pertaining to a track, where each of the forecast messages includes a unique identifier associated with the track, and receives one or more inference messages pertaining to the track, where each of the inference messages includes the unique identifier. The system aggregates the one or more forecast messages and the one or more inference messages to generate a message set, and applies a set of processing operations to the message set to generate a feedback message. The system identifies one or more events from the feedback message, automatically generates an annotation for one or more of the events that is identified, and embeds the generated annotations in an event log for the autonomous vehicle.
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