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公开(公告)号：US20240337503A1
公开(公告)日：2024-10-10
申请号：US18296842
申请日：2023-04-06
Applicant: TORC Robotics, Inc.
Inventor： Ryan CHILTON
CPC classification number: G01C21/3815 , E01C23/222 , G01C21/3848
Abstract: Disclosed herein are methods and systems (sensors) that allow revision of HD maps for lane lines as the lane lines are created. In a non-limiting example, a method comprises receiving, by a processor from a sensor associated with a vehicle configured to paint a lane line, a color attribute, a patterns attribute, and a location of a lane line painted on a road by the vehicle; determining, by the processor, using the location received from the sensor, whether the road has an existing lane line; and revising, by the processor, a high definition map associated with at least one autonomous vehicle by removing the existing lane line from the high definition map and inserting the lane line in the high definition map.
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公开(公告)号：US20240317231A1
公开(公告)日：2024-09-26
申请号：US18125346
申请日：2023-03-23
Applicant: TORC Robotics, Inc.
Inventor： Brett HUTTON
CPC classification number: B60W30/18163 , B60Q1/346 , B60W2420/403 , B60W2420/408 , B60W2552/10 , B60W2554/4041 , B60W2554/4042 , B60W2554/4045
Abstract: A method and vehicle for external actor acknowledgment for automated vehicles is disclosed. In an example, a method comprises determining, by a processor, to control a vehicle to switch into a lane adjacent to the vehicle; monitoring, by the processor, a speed or a location of a second vehicle, the second vehicle in the lane adjacent to the vehicle; determining, by the processor, the speed or the location of the second vehicle satisfies a condition; controlling, by the processor, the vehicle to switch into the lane adjacent to the vehicle; and activating, by the processor, an acknowledgment sequence responsive to determining the vehicle has switched into the lane.
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公开(公告)号：US20240104939A1
公开(公告)日：2024-03-28
申请号：US18339819
申请日：2023-06-22
Applicant: TORC Robotics, Inc.
Inventor： Joseph STAMENKOVICH
IPC: G06V20/56 , G01C21/00 , G06V10/774 , G06V10/82 , G06V20/70
CPC classification number: G06V20/588 , G01C21/3822 , G01C21/3837 , G06V10/774 , G06V10/82 , G06V20/70
Abstract: A method comprises identifying a set of image data captured by at least one autonomous vehicle when the at least one autonomous vehicle was positioned in a lane of a roadway, and respective ground truth localization data of the at least one autonomous vehicle; determining a total number of lanes for the roadway; labeling the set of image data with the total number of lanes for the roadway; and training using the labeled set of image data, a machine learning model, such that the machine learning model is configured to predict a new total number of lanes for a new roadway as output.
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公开(公告)号：US20240101146A1
公开(公告)日：2024-03-28
申请号：US18303449
申请日：2023-04-19
Applicant: TORC Robotics, Inc.
Inventor： Ryan CHILTON , Harish PULLAGURLA , Joseph STAMENKOVICH
IPC: B60W60/00 , G06V10/774 , G06V20/56
CPC classification number: B60W60/001 , G06V10/774 , G06V20/588 , B60W2300/14 , B60W2552/53 , B60W2556/40
Abstract: Systems and methods for training and executing machine learning models to generate lane index values are disclosed. A method includes identifying a set of image data captured by at least one autonomous vehicle when the at least autonomous vehicle is positioned in a lane of a roadway and respective ground truth localization data; determining a plurality of lane index values for the set of image data based on the ground truth localization data; labeling the set of image data with the plurality of lane index values, the lane index values representing a number of lanes from a leftmost or rightmost lane to the lane in which the at least one autonomous vehicle was positioned; and training, using the labeled set of image data, a plurality of machine learning models that generate a left lane index value and a right lane index value as output.
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公开(公告)号：US20250163866A1
公开(公告)日：2025-05-22
申请号：US18345684
申请日：2023-06-30
Applicant: TORC Robotics, Inc.
Inventor： Joseph FOX-RABINOVITZ , Walter GRIGG
IPC: F02D41/22 , G01F23/292
Abstract: Fluid release detection is provided. A vehicle can determine, via a first sensor, a flow rate of a first fluid, such as a headspace gas, between an environment and a reservoir of the vehicle. The vehicle can receive a fluid consumption rate for a second fluid, such as a hydrocarbon fuel associated with the reservoir. The vehicle can detect, based on the flow rate and the fluid consumption rate, a fluid release of the reservoir. The vehicle can execute an action responsive to the detection of the fluid release.
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Patent Agency Ranking
公开(公告)号：US20250136149A1
公开(公告)日：2025-05-01
申请号：US18494609
申请日：2023-10-25
Applicant: Torc Robotics, Inc.
Inventor： Joseph Fox-Rabinovitz , William Davis , Akshay Pai Raikar
IPC: B60W60/00
Abstract: A method for enhancing the sensing capabilities of an autonomous vehicle. The method includes extending an extension assembly mounted to the autonomous vehicle to position one or more sensors above the autonomous vehicle and receiving, from the one or more sensors, at least one sensor signal representing one or more vehicle environment conditions surrounding the autonomous vehicle. The method also includes generating a vehicle state for the autonomous vehicle based at least on a location of the autonomous vehicle, the vehicle state comprising the one or more vehicle environment conditions.
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公开(公告)号：US20250124242A1
公开(公告)日：2025-04-17
申请号：US18989630
申请日：2024-12-20
Applicant: Torc Robotics, Inc.
Inventor： Joseph Fox-Rabinovitz
Abstract: Aspects of this technical solution can include a first layer having a first region and a second region, the first region and the second region having a first transmissivity property corresponding to a first portion of a spectrum of light and a second portion of the spectrum of light, having the first transmissivity property, and a second layer disposed over the first layer and having a third region and a fourth region, the third region and the fourth region having a second transmissivity property corresponding to the first portion of the spectrum of light and the second portion of the spectrum of light.
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公开(公告)号：US20250123119A1
公开(公告)日：2025-04-17
申请号：US18485195
申请日：2023-10-11
Applicant: Torc Robotics, Inc.
Inventor： Daniel Moodie
IPC: G01C21/00 , G01C21/32 , G06N3/0464
Abstract: In one aspect, a method of fusing sensor data from a plurality of sensors is provided. The method comprises identifying first and second sensor data from first and second sensors of the plurality of sensors, respectively, extracting first and second features from the first and second sensor data, respectively, and converting the first and second features to first and second BEV projections of the first and second features, respectively. The method further comprises implementing a spatial transform network that aligns the second BEV projection with the first BEV projection, and generating a fused feature map comprising the aligned second BEV projection and the first BEV projection.
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49.发明申请公开(公告)号：US20250117006A1
公开(公告)日：2025-04-10
申请号：US18484210
申请日：2023-10-10
Applicant: Torc Robotics, Inc.
Inventor： Brett Hutton
IPC: G05D1/00
Abstract: An autonomous vehicle is provided. The autonomous vehicle includes one or more sensors and an autonomous driving computing device. The autonomous driving computing device includes at least one processor in communication with at least one memory device. The at least one processor is programmed to process sensor data received from the one or more sensors, render the processed sensor data into 3D images, convert the 3D images into a video stream, and transmit, via mobile communication, the video stream to a remote user.
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公开(公告)号：US20250058781A1
公开(公告)日：2025-02-20
申请号：US18235795
申请日：2023-08-18
Applicant: TORC Robotics, Inc.
Inventor： Adam SHOEMAKER , John BLANKENHORN , Garrett MADSEN , Joshua PETRIN , Ajay TULSYAN , Paul BROWN , Savio PEREIRA , William DAVIS , Daniel FERNÁNDEZ , Yexuan HAO
Abstract: Embodiments herein include systems and methods of generating lane selection cost values to control autonomous vehicles to accommodate merging vehicles in a tapering lane (or merge lane). An autonomy system can identify a tapering lane in map data and detect a merging vehicle situated in the tapering lane using perception sensor data. The autonomy system includes a lane-selection cost function that generates lane-selection cost values for the lanes available to the automated vehicle, which the autonomy system references to determine whether to continue traveling a current lane or change lanes into an adjacent lane. The lane-selection cost function may apply a courtesy weight when detecting the merging vehicle, such that the autonomy system causes the automated vehicle to change lanes as a courtesy to the merging vehicle, but without overriding other safety-related factors of the lane-selection cost function or trajectory planning functions.
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