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公开(公告)号：US20230049018A1
公开(公告)日：2023-02-16
申请号：US17968729
申请日：2022-10-18
Applicant: TuSimple, Inc.
Inventor： John E. PANTTILA , Zhujia SHI , Riad I. HAMMOUD , Arda KURT
IPC: B60W60/00
Abstract: Techniques are described for determining visibility conditions of an environment in which an autonomous vehicle is operated and performing driving related operations based on the visibility conditions. An example method of adjusting driving related operations of a vehicle includes determining, by a computer located in an autonomous vehicle, a visibility related condition of an environment in which the autonomous vehicle is operating, adjusting, based at least on the visibility related condition, a set of one or more values of one or more variables associated with a driving related operation of the autonomous vehicle, and causing the autonomous vehicle to be driven to a destination by causing the driving related operation of one or more devices located in the autonomous vehicle based on at least the set of one or more values.
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Patent Agency Ranking
公开(公告)号：US20220017113A1
公开(公告)日：2022-01-20
申请号：US16933770
申请日：2020-07-20
Applicant: TUSIMPLE, INC.
Inventor： Charles Seunghwan HAN , Riad I. HAMMOUD
Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.
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公开(公告)号：US20240149915A1
公开(公告)日：2024-05-09
申请号：US18411606
申请日：2024-01-12
Applicant: TUSIMPLE, INC.
Inventor： Charles Seunghwan HAN , Riad I. HAMMOUD
CPC classification number: B60W60/0016 , G01S17/89 , B60W2420/403 , B60W2420/408
Abstract: An autonomous vehicle can classify and prioritize agent of interest (AOI) objects located around the autonomous vehicle to manage computational resources. An example method performed by an autonomous vehicle includes determining, based on a location of the autonomous vehicle and based on a map, an area in which the autonomous vehicle is operated, determining, based on sensor data received from sensors located on or in the autonomous vehicle, attributes of objects located around the autonomous vehicle, where the attributes include information that describes a status of the objects located around the autonomous vehicle, selecting, based at least on the area, a classification policy that includes a plurality of rules that are associated with a plurality of classifications to classify the objects, and for each of the objects located around the autonomous vehicle: monitoring an object according to a classification of the object based on the classification policy.
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公开(公告)号：US20230278585A1
公开(公告)日：2023-09-07
申请号：US18160905
申请日：2023-01-27
Applicant: TuSimple, Inc.
Inventor： Riad I. HAMMOUD
CPC classification number: B60W60/0015 , B60W50/0205 , G05B13/0265 , B60W2554/80 , B60W2554/4046 , B60W2050/0215 , B60W2554/4042
Abstract: An example method for determining a normalcy mode of an autonomous vehicle may include obtaining sensor outputs from a set of sensors disposed on the autonomous vehicle and configured to sense information about an environment in which the autonomous vehicle is operating, wherein the environment includes other vehicles within a predetermined range of the autonomous vehicle, determining perception system indicators associated with a perception of the set of sensors, driving behavior indicators associated with driving behaviors of the other vehicles proximate to the autonomous vehicle, and contextual indicators associated with the environment in which the autonomous vehicle is operating, from the sensor outputs, and generating information indicative of normal and abnormal activities of the other vehicles within the predetermined range of the autonomous vehicle based on the perception system indicators, the driving behavior indicators, and contextual indicators.
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公开(公告)号：US20220126875A1
公开(公告)日：2022-04-28
申请号：US17495063
申请日：2021-10-06
Applicant: TUSIMPLE, INC.
Inventor： Riad I. HAMMOUD
IPC: B60W60/00
Abstract: An autonomous vehicle includes an apparatus for determining a confidence level of perception data gathered from vehicle sensor subsystems, as well as determining a confidence level of a regional map. The system is also configured to determine an action of agents of interest in front of the autonomous vehicle. A method of controlling the autonomous vehicle utilizing the system includes altering the trajectory of the autonomous vehicle in response to the confidence level determined for the perception data and regional map.
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公开(公告)号：US20220024492A1
公开(公告)日：2022-01-27
申请号：US16938251
申请日：2020-07-24
Applicant: TUSIMPLE, INC.
Inventor： John E. PANTTILA , Zhujia SHI , Riad I. HAMMOUD , Arda KURT
IPC: B60W60/00
Abstract: Techniques are described for determining visibility conditions of an environment in which an autonomous vehicle is operated and performing driving related operations based on the visibility conditions. An example method of adjusting driving related operations of a vehicle includes determining, by a computer located in an autonomous vehicle, a visibility related condition of an environment in which the autonomous vehicle is operating, adjusting, based at least on the visibility related condition, a set of one or more values of one or more variables associated with a driving related operation of the autonomous vehicle, and causing the autonomous vehicle to be driven to a destination by causing the driving related operation of one or more devices located in the autonomous vehicle based on at least the set of one or more values.
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