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公开(公告)号：US20240086709A1
公开(公告)日：2024-03-14
申请号：US17942857
申请日：2022-09-12
发明人： Burkay Donderici
CPC分类号： G06N3/082 , G06N3/0481
摘要： Systems and techniques are provided for learning deep learning compute paths. An example method can determine a neural network element of a first compute path within a neural network, the first compute path comprising neural network elements including the neural network element, the neural network element comprising a neural network layer and/or a neural network node; determine a second compute path comprising the neural network element and different neural network elements, the second compute path having a smaller size than the first compute path, a lower latency than the first compute path, and/or a smaller compute cost than the second compute path; determine, based on one or more conditions, whether to process data from the neural network element through the first compute path or the second compute path; and process the data from the neural network element through one of the first compute path or the second compute path.
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公开(公告)号：US20230406352A1
公开(公告)日：2023-12-21
申请号：US17843811
申请日：2022-06-17
发明人： Burkay Donderici
CPC分类号： B60W60/0015 , G01C21/3438 , B60W2420/42 , B60W2420/52
摘要： A computing apparatus, comprising: a processor circuit and a memory; and instructions encoded within the memory to instruct the processor to: receive a stored dependency graph for a first hardware configuration for a plurality of compute nodes; receive a second hardware configuration comprising a modification to the first hardware configuration; iteratively model the second hardware configuration comprising adjusting one or more of a plurality of operational parameters for a model of the second hardware configuration, and selecting an optimum configuration of the plurality of operational parameters; and sending the optimum configuration to a real-world embodiment of the second hardware configuration.
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公开(公告)号：US20230399016A1
公开(公告)日：2023-12-14
申请号：US17840255
申请日：2022-06-14
发明人： Burkay Donderici
CPC分类号： B60W60/0015 , B60W60/005 , B60W40/09 , B60W40/04 , B60W10/20 , B60W2510/0609 , B60W2540/30 , B60W2554/4046
摘要： A system may include a vehicle controller, comprising: a hardware platform, comprising a processor and a memory; and instructions encoded within the memory to: provide an autonomous vehicle control module with at least L4 vehicle control capability; select a semi-autonomous operating mode that uses a subset of the L4 vehicle control capability; and operate a vehicle in the semi-autonomous operating mode.
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4.发明公开公开(公告)号：US20230393280A1
公开(公告)日：2023-12-07
申请号：US17830582
申请日：2022-06-02
发明人： Burkay Donderici
IPC分类号： G01S17/931 , G06V20/56 , G06V10/774 , G06V10/778 , B60W60/00 , G01S17/86 , G01S17/89 , G06N3/08
CPC分类号： G01S17/931 , G06V20/56 , G06V10/774 , G06V10/778 , B60W60/001 , G01S17/86 , G01S17/89 , G06N3/08 , B60W2420/42 , B60W2420/52 , B60W2556/45
摘要： Systems and methods for retrofitting a light detection and ranging (LIDAR)-based vehicle computing system to operate with vision-based sensor data are provided. For example, a method implemented by a vehicle may include receiving, from one or more sensors of a first sensing modality at the vehicle, first sensor data associated with a surrounding environment of the vehicle; and retrofitting a vehicle controller of the vehicle that is based on a second sensing modality different from the first sensing modality to operate on the first sensor data, where the retrofitting includes generating second sensor data from the first sensor data based on the second sensing modality; and determining, by the vehicle controller, an action for the vehicle based at least in part on the generated second sensor data.
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公开(公告)号：US20230385441A1
公开(公告)日：2023-11-30
申请号：US17828324
申请日：2022-05-31
发明人： Burkay Donderici
CPC分类号： G06F21/6245 , B60W60/001
摘要： A model for controlling an AV can be trained with a privacy budget. A data set that includes sensor data collected by an AV from an environment around the AV is received. A privacy score of the data set is determined. The privacy score indicates a measurement of privacy information included in the data set. The privacy score may be compared with the privacy budget to determine whether the data set meets the privacy budget. After a determination that the data set does not meet the privacy budget, the data set is adjusted, e.g., by adjusting one or more objects captured by the sensor data. An example adjustment to an object may include removing or modifying a private feature of the object. The adjust data set has a privacy score that falls in the privacy budget and can be used as a privacy-protected data set to train the model.
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6.发明公开公开(公告)号：US20230286539A1
公开(公告)日：2023-09-14
申请号：US17690242
申请日：2022-03-09
发明人： Jeremy Adam Malloch , Burkay Donderici , Siyuan Lu
CPC分类号： B60W60/0011 , G06V10/82 , G06V20/58 , G06T7/20 , G06T7/50 , G06N3/04 , B60W2420/42 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
摘要： Machine learning model optimization systems and methods are disclosed. A system receives sensor data captured by one or more sensors of a vehicle during a first time period. The vehicle uses a first trained machine learning (ML) model for one or more decisions of a first decision type during the first time period. The system generates a second trained ML model at least in part by using the sensor data to train the second trained ML model. The system identifies an optimal trained ML model from a plurality of trained ML models. The plurality of trained ML models includes the first trained ML model and the second trained ML model. The system causes the vehicle to use the optimal trained ML model for one or more further decisions of the first decision type during a second time period after the first time period.
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7.发明公开公开(公告)号：US20230258763A1
公开(公告)日：2023-08-17
申请号：US17669630
申请日：2022-02-11
发明人： Burkay Donderici
CPC分类号： G01S5/0278 , B60W60/00253 , B60W2556/45
摘要： Disclosed are systems and techniques for managing an autonomous vehicle. In some aspects, an autonomous vehicle may obtain one or more radio frequency (RF) signals corresponding to a wireless device. In some cases, the autonomous vehicle may determine a location probability map associated with the wireless device based on the one or more RF signals. In some examples, the autonomous vehicle may adjust a behavior of the autonomous vehicle based on the location probability map associated with the wireless device.
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公开(公告)号：US20230242157A1
公开(公告)日：2023-08-03
申请号：US17589147
申请日：2022-01-31
发明人： Burkay Donderici
CPC分类号： B60W60/0027 , B60W50/00 , B60W60/0016 , B60W60/0013 , G05B13/042 , G05B13/027 , B60W2520/105 , B60W2520/125 , B60W2520/10 , B60W2520/12 , B60W2520/06 , B60W2510/18 , B60W2510/20 , B60W2510/22 , B60W2050/0022
摘要： The present technology is directed to dynamically adjusting an autonomous vehicle (AV) system based on deep learning optimizations. An AV management system can generate a downscaling signal based on a result of comparing a complexity of an environment for an AV to navigate with a predetermined complexity threshold. Further, the AV management system can perform a downscaling of a neural network associated with an AV system based on the downscaling signal and determine a scenario to test the downscaled neural network in a simulation. The AV management system can adjust one or more parameters of the AV system based on simulated outputs and perform the simulation of the AV based on the adjusted one or more parameters of the AV system and the downscaled neural network to generate simulated performance data. Furthermore, the AV management system can compare the simulated performance data with a predetermined performance threshold.
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公开(公告)号：US20230227071A1
公开(公告)日：2023-07-20
申请号：US17579779
申请日：2022-01-20
发明人： Burkay Donderici
CPC分类号： B60W60/0015 , G07C5/0808
摘要： Disclosed are systems, apparatuses, methods, and computer-readable media to autonomous driving vehicles and, in particular, for preventing latency violations in autonomous vehicle control systems. A method includes navigating the autonomous vehicle into first region of an environment at a first time, determining a runtime performance of the autonomous vehicle control system in the first region based on the environment, recording the runtime performance into runtime information of the autonomous vehicle, and determining a route to a destination location for the autonomous vehicle to navigate based on mapping information determined based on the runtime information.
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公开(公告)号：US20240300539A1
公开(公告)日：2024-09-12
申请号：US18179913
申请日：2023-03-07
发明人： Burkay Donderici
CPC分类号： B60W60/0027 , G01S13/86 , G01S17/86 , B60W2554/4042 , B60W2556/35
摘要： Systems and techniques are provided for fusing sensor data from multiple sensors. An example method can include obtaining a first set of sensor data from a first sensor and a second set of sensor data from a second sensor; detecting an object in the first set of sensor data and the object in the second set of sensor data; aligning the object in the first set of sensor data and the object in the second set of sensor data to a common time; based on at least one of the aligned object from the first set of sensor data and the aligned object from the second set of sensor data, aligning the first set of sensor data and the second set of sensor data to the common time; and fusing the aligned first set of sensor data and the aligned second set of sensor data.
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