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公开(公告)号：US20250026358A1
公开(公告)日：2025-01-23
申请号：US18224532
申请日：2023-07-20
Applicant: TORC Robotics, Inc.
Inventor： Nicholas Elder
Abstract: An autonomous vehicle can include a tractor; a trailer coupled with the tractor; a thermal sensor coupled with the trailer, the thermal sensor configured to measure a temperature of the trailer; and one or more processors. The processors can be configured to receive a plurality of temperature measurements of the trailer from the thermal sensor while the autonomous vehicle is driving; compare the plurality of temperature measurements to a condition; and automatically execute a trailer anomaly response protocol responsive to determining at least one of the plurality of temperature measurements satisfies the condition.
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52.发明申请公开(公告)号：US20250022278A1
公开(公告)日：2025-01-16
申请号：US18221809
申请日：2023-07-13
Applicant: TORC Robotics, Inc.
Inventor： Dalong LI , Lei GE , Juncong FEI
IPC: G06V20/56 , G01S17/89 , G06V10/764
Abstract: An autonomous vehicle comprises one or more processors. The processors can be configured to receive, from a sensor of the autonomous vehicle, an image of an environment outside of the autonomous vehicle. The processors can detect potential unknown objects based on the image. The processors can compare the detection based on the image to a set of data points of a LiDAR scan to determine if there are unknown objects on a roadway.
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公开(公告)号：US20250021099A1
公开(公告)日：2025-01-16
申请号：US18222387
申请日：2023-07-14
Applicant: TORC Robotics, Inc.
Inventor： Wade FOSTER , Ryan CHILTON , Karan Vivek BHARGAVA , Gowtham Raj Gunaseela UDAYAKUMAR , Harish PULLAGURLA , Jason HARPER , Zachary MILLER
Abstract: A method comprises monitoring, by a processor, using a sensor of a first vehicle, data associated with a retroreflective feature near a road being driven by the first vehicle; vectorizing, by the processor, the data associated with the retroreflective feature; generating, by the processor, a digital map including vectorized data associated with the retroreflective feature and a location associated with the retroreflective feature; receiving, by the processor, data associated with the retroreflective feature from a second vehicle; and executing, by the processor, a localization protocol to identify a location of the second vehicle using the digital map.
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公开(公告)号：US20250020786A1
公开(公告)日：2025-01-16
申请号：US18221837
申请日：2023-07-13
Applicant: TORC Robotics, Inc.
Inventor： Andrew ROITHMAYR , Nicholas GIGLIOTTI
IPC: G01S7/497 , G01S7/40 , G01S13/931 , G01S17/931
Abstract: Disclosed herein include systems and methods for calibrating perception sensors of an automated vehicle using stationary calibration targets and preconfigured geographic information for the calibration targets. A controller of the automated vehicle references map data indicating locations of each calibration target, which is then recorded by the automated vehicle's perception sensors. The automated vehicle is configured to use a corrected geographical position system (GPS) process (e.g., RTK, PPK) to determine positions and orientations of each sensor and/or the automated vehicle. The controller uses these values to generate accurate calibrations of the automated vehicle and the sensors.
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公开(公告)号：US20250018980A1
公开(公告)日：2025-01-16
申请号：US18221830
申请日：2023-07-13
Applicant: TORC Robotics, Inc.
Inventor： Ryan CHILTON
IPC: B60W60/00 , B60W30/095 , B60W40/06 , G06N20/00
Abstract: Systems and methos for learning safe driving paths in autonomous driving adversity conditions can include acquiring, by a computer system, vehicle sensor data for a plurality of driving events associated with one or more autonomous driving adversity conditions. The vehicle sensor data can include, for each driving event, corresponding image data depicting surroundings of the vehicle and corresponding inertial measurement data. The computer system can acquire, for each driving event of the plurality of driving events, corresponding vehicle positioning data indicative of a corresponding trajectory followed by the vehicle, and train, using the vehicle sensor data and the vehicle positioning data, a machine learning model to predict navigation trajectories during the autonomous driving adversity conditions.
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Patent Agency Ranking
公开(公告)号：US20250010879A1
公开(公告)日：2025-01-09
申请号：US18219605
申请日：2023-07-07
Applicant: TORC Robotics, Inc.
Inventor： Akshay Pai RAIKAR , Joseph FOX-RABINOVITZ
Abstract: An autonomous vehicle comprises a sensor and one or more processors. The processors can be configured to monitor, using the sensor, a surface of a road while the autonomous vehicle is driving on the road; detect a numerical identification of a tracking tag embedded underneath a surface of the road based on data collected from the sensor during the monitoring of the surface; query a database using the numerical identification of the tracking tag, the database comprising navigational information corresponding to different numerical identifications of tracking tags; identify first navigational information from the database that corresponds to the detected numerical identification of the tracking tag embedded underneath the surface of the road; determine a navigational action based on the first navigational information; and operate the autonomous vehicle according to the navigational action.
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公开(公告)号：US20250003768A1
公开(公告)日：2025-01-02
申请号：US18342400
申请日：2023-06-27
Applicant: TORC Robotics, Inc.
Inventor： Harish PULLAGURLA , Ryan CHILTON , Harish KARUNAKARAN
Abstract: Systems and methods of generating and updating a world model for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive sensor data from a plurality of sensors of an autonomous vehicle, where the sensor data is captured during operation of the autonomous vehicle; access a world model generated based at least on map information corresponding to a location of the operation of the autonomous vehicle; determine at least one semantic correction for the world model based on the sensor data; determine at least one geometric correction for the world model based on the sensor data and the map information; and generate an updated world model based on the at least one semantic correction and the at least one geometric correction.
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公开(公告)号：US20250003764A1
公开(公告)日：2025-01-02
申请号：US18342478
申请日：2023-06-27
Applicant: TORC Robotics, Inc.
Inventor： Harish PULLAGURLA , Ryan CHILTON , Harish KARUNAKARAN
Abstract: Systems and methods of generating and updating a world model for autonomous vehicle navigation are disclosed. An autonomous vehicle system can receive sensor data from a plurality of sensors of an autonomous vehicle, where the sensor data is captured during operation of the autonomous vehicle; access a world model generated based at least on map information corresponding to a location of the operation of the autonomous vehicle; determine at least one semantic correction for the world model based on the sensor data; determine at least one geometric correction for the world model based on the sensor data and the map information; and generate an updated world model based on the at least one semantic correction and the at least one geometric correction.
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公开(公告)号：US20240426632A1
公开(公告)日：2024-12-26
申请号：US18341469
申请日：2023-06-26
Applicant: TORC Robotics, Inc.
Inventor： Harish PULLAGURLA , Ryan CHILTON , Jason HARPER , Jordan STONE
IPC: G01C21/00
Abstract: Systems and methods of automatic correction of map data for autonomous vehicle navigation are disclosed. One or more servers can receive, from a first autonomous vehicle traveling on a road, a first correction to map data identifying a location in the map data; generate a modified parameter of the map data based on the first correction and a second correction identifying the location, the second correction received from a second autonomous vehicle traveling on the road; update the map data based on the modified parameter; and provide the updated map data to the first autonomous vehicle.
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公开(公告)号：US20240420515A1
公开(公告)日：2024-12-19
申请号：US18335457
申请日：2023-06-15
Applicant: TORC Robotics, Inc.
Inventor： Dennis KING , Andrew CUNNINGHAM , John BLANKENHORN , Adam SHOEMAKER , Bodo SEIFERT
IPC: G07C5/00 , B60R16/023 , H04L12/42
Abstract: Autonomous vehicles including sensors and electronic control units (ECUs) that communicate via ring networks are disclosed. A system includes an ECU of an autonomous vehicle that includes an ECU network interface. The system includes a plurality of sensors disposed on the autonomous vehicle, and each of the plurality of sensors includes a respective sensor network interface. The system includes a plurality of network links communicatively coupling the plurality of sensors to the ECU network interface of the ECU via the respective sensor network interface in a ring configuration.
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