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公开(公告)号:US20230324200A1
公开(公告)日:2023-10-12
申请号:US18183104
申请日:2023-03-13
Applicant: TuSimple, Inc.
Inventor: Nan Yu , Robert August Rossi, JR. , Jiaming Lai , Bolun Zhang
CPC classification number: G01C21/3885 , G01C21/3811 , G01C21/3841 , G01C21/32 , G01S17/89
Abstract: A lidar-based prior map for estimating static objects via deep-learning algorithm is disclosed. In one aspect, a server includes a network communication device configured to communicate with a plurality of autonomous vehicles over a network, a memory, and a processor. The processor is configured to receive LiDAR data from the autonomous vehicles, generate a LiDAR prior map comprising raw data based on the LiDAR data received from each of the autonomous vehicles, merge the raw data into a prior map, the prior map comprising an occupancy grid indicative of locations of static objects within an environment of the autonomous vehicles, and provide the prior map to the autonomous vehicles.
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公开(公告)号:US20230324188A1
公开(公告)日:2023-10-12
申请号:US18186848
申请日:2023-03-20
Applicant: TuSimple, Inc.
Inventor: Joyce Tam , Anand Chaturvedi
IPC: G01C21/34 , G06Q10/0833
CPC classification number: G01C21/3453 , G01C21/3407 , G06Q10/0833
Abstract: A system comprises a fleet of autonomous vehicles and a scheduling server. The scheduling server accepts input comprising at least one preferred performance criteria to complete a mission trip. The scheduling server determines a routing plan to complete the mission trip based on the input. The routing plan is determined to optimize the at least one preferred performance criteria. The scheduling server identifies at least one autonomous vehicle that can perform the mission trip according to the determined routing plan. The scheduling server assigns the at least one autonomous vehicle to perform the mission trip.
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公开(公告)号:US11767031B2
公开(公告)日:2023-09-26
申请号:US17243785
申请日:2021-04-29
Applicant: TuSimple, Inc.
Inventor: Changyi Zhao , Joyce Tam , Bin Huang
CPC classification number: B60W60/0011 , B60W40/02 , B60W50/00 , G05D1/0293 , G05D1/0295 , H04W4/46 , B60W2050/0075 , B60W2300/145 , B60W2556/50 , B60W2556/65 , G05D2201/0213
Abstract: A system comprises an autonomous vehicle (AV) and an operation server operably coupled with the AV. The operation server accesses environmental data associated with a road traveled by the AV. The environmental data is associated with a time window during which the AV is traveling along the road. The operation server compares the environmental data with map data that comprises expected road conditions ahead of the AV. The operation server determines whether the environmental data comprises an unexpected road condition that is not included in the map data. In response to determining that the environmental data comprises the unexpected road condition that is not included in the map data, the operation server determines a location coordinate of the unexpected road condition, and communicates a command to the AV to maneuver to avoid the unexpected road condition.
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公开(公告)号:US20230300877A1
公开(公告)日:2023-09-21
申请号:US18187087
申请日:2023-03-21
Applicant: TuSimple, Inc.
Inventor: Joyce TAM
IPC: H04W72/566 , H04W72/12
CPC classification number: H04W72/566 , H04W72/12
Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for dynamic allocation of communication network resources by an autonomous vehicle. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that determine a data transmission prioritization policy and cause an auxiliary data object to be provided based at least in part on the data transmission prioritization policy.
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公开(公告)号:US20230294737A1
公开(公告)日:2023-09-21
申请号:US18187059
申请日:2023-03-21
Applicant: TuSimple, Inc.
Inventor: Zhujia Shi , Scott Douglas Foster , Dishi Li , Hunter Scott Willoughby , Charles A. Price , Panqu Wang , Xiangchen Zhao , Yuchao Jin
CPC classification number: B60W60/0016 , B60W40/02 , B60W30/09 , B60W2554/80
Abstract: A control subsystem, method, computer program product and autonomous vehicle are provided to respond to an unknown object on a carriageway along which an autonomous vehicle is to travel. In this regard, sensor data is received from at least one vehicle sensor. The sensor data includes location coordinates of the object on the carriageway. The sensor data is evaluated to determine whether the object is known or unknown. If unknown, the size of the object is determined and a motion plan is defined for the autonomous vehicle depending upon the size of the object and the location coordinates of the object relative to the autonomous vehicle. The motion plan that is defined is dependent upon the size of the object with different motion plans being defined for differently sized objects. Driving instructions for the autonomous vehicle are then updated based upon the motion plan that is defined.
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公开(公告)号:US20230278586A1
公开(公告)日:2023-09-07
申请号:US18316895
申请日:2023-05-12
Applicant: TUSIMPLE, INC.
Inventor: Zhujia SHI , Mingdong WANG
IPC: B60W60/00 , B60W40/06 , B60W40/04 , B60W30/14 , B60W30/09 , B60W30/095 , B60W10/20 , B60W30/18 , G01C21/34 , G08G1/16
CPC classification number: B60W60/0015 , B60W40/06 , B60W40/04 , B60W30/143 , B60W30/09 , B60W30/0956 , B60W10/20 , B60W30/18163 , G01C21/3461 , G08G1/167 , B60W2554/4042 , B60W2554/801 , B60W2554/20 , B60W2420/42 , B60W2420/52 , B60W2520/10
Abstract: A method of operating an autonomous vehicle includes detecting, based on an input received from a sensor of an autonomous vehicle that is being navigated by an on-board computer system, an occurrence of a driving event, making a determination by the on-board computer system, upon the detecting the occurrence of the driving event, whether or how to alter the path planned by the on-board computer system according to a set of rules, and performing further navigation of the autonomous vehicle based on the determination until the driving event is resolved. The driving event may include a presence of an object in a shoulder area of the road. The driving event may include accumulation of more than a certain number of vehicles behind the autonomous vehicle. The driving event may include a slow vehicle ahead of the autonomous vehicle. The driving event may include a do-not-change-lane zone is within a threshold.
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公开(公告)号:US20230276133A1
公开(公告)日:2023-08-31
申请号:US18172576
申请日:2023-02-22
Applicant: TuSimple, Inc.
Inventor: Niranjan Shenoy BELLARE , Xiaoling HAN
Abstract: Disclosed are devices, systems and methods for controlling exposure time of an image sensor mounted on a vehicle. One exemplary method includes configuring map data to include location information associated with exposure time information for the image sensor; obtaining an initial exposure time for the image sensor based on the map data; and adjusting the initial exposure time to obtain a target exposure time for the image sensor based on real time parameters.
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公开(公告)号:US11734563B2
公开(公告)日:2023-08-22
申请号:US17739289
申请日:2022-05-09
Applicant: TuSimple, Inc.
Inventor: Panqu Wang , Tian Li
IPC: G06V20/58 , G06V20/56 , G06N3/08 , G05D1/00 , G05D1/02 , G06N3/04 , G06V10/82 , G06V10/44 , G06F18/214 , G06V10/764
CPC classification number: G06N3/08 , G05D1/0088 , G05D1/0246 , G06F18/214 , G06N3/04 , G06V10/454 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/584 , G05D2201/0213
Abstract: A system and method for taillight signal recognition using a convolutional neural network is disclosed. An example embodiment includes: receiving a plurality of image frames from one or more image-generating devices of an autonomous vehicle; using a single-frame taillight illumination status annotation dataset and a single-frame taillight mask dataset to recognize a taillight illumination status of a proximate vehicle identified in an image frame of the plurality of image frames, the single-frame taillight illumination status annotation dataset including one or more taillight illumination status conditions of a right or left vehicle taillight signal, the single-frame taillight mask dataset including annotations to isolate a taillight region of a vehicle; and using a multi-frame taillight illumination status dataset to recognize a taillight illumination status of the proximate vehicle in multiple image frames of the plurality of image frames, the multiple image frames being in temporal succession.
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公开(公告)号:US11729520B2
公开(公告)日:2023-08-15
申请号:US17374112
申请日:2021-07-13
Applicant: TUSIMPLE, INC.
Inventor: Lei Nie
CPC classification number: H04N23/90 , G01S13/865 , G01S13/867 , G01S13/931 , G01S19/49 , H04N23/54
Abstract: Disclosed are devices and systems for an optimized sensor layout for an autonomous or semi-autonomous vehicle. In one aspect, the system includes a vehicle capable of semi-autonomous or autonomous operation. A plurality of forward-facing cameras is coupled to the vehicle and configured to have a field of view in front of the vehicle. At least three forward-facing cameras of the plurality of forward-facing cameras have different focal lengths. A right-side camera is coupled to the right side of the vehicle, the right-side camera configured to have a field of view to the right of the vehicle. A left-side camera is coupled to the left side of the vehicle, the left-side camera is configured to have a field of view to the left of the vehicle.
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公开(公告)号:US20230242037A1
公开(公告)日:2023-08-03
申请号:US18297821
申请日:2023-04-10
Applicant: TUSIMPLE, INC.
Inventor: Juexiao NING , Todd SKINNER , Jeffrey RENN
IPC: B60R1/12 , G01S17/931 , B60R11/00 , G01S7/481
CPC classification number: B60R1/12 , G01S17/931 , B60R11/00 , G01S7/4813 , B60R2001/1223 , B60R2011/004 , B60R2011/008
Abstract: Disclosed are devices, systems, and methods for a LiDAR mirror assembly mounted on a vehicle, such as an autonomous or semi-autonomous vehicle. For example, a LiDAR mirror assembly may include a base plate mounted on a hood of a vehicle, where the base plate is coupled to one end of a support arm. The opposite end of the support arm is attached to a housing. The housing includes a top housing enclosure coupled to a bottom housing platform, where a sensor and a mirror is coupled to the housing, and where the sensor is at least partially exposed through an opening in the top housing enclosure. The opening for the sensor is situated near an end of the housing furthest away from the base plate.
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