公开(公告)号：US20180292222A1

公开(公告)日：2018-10-11

申请号：US15481877

申请日：2017-04-07

Applicant: TuSimple

Inventor： Wutu LIN ,  Xiaodi HOU

IPC: G01C21/34 ,  G05D1/02 ,  G05D1/10 ,  G01S17/93 ,  G01S13/93 ,  B60W40/04

Abstract: A system and method for path planning of autonomous vehicles based on gradient are disclosed. A particular embodiment includes: generating and scoring a first suggested trajectory for an autonomous vehicle; generating a trajectory gradient based on the first suggested trajectory; generating and scoring a second suggested trajectory for the autonomous vehicle, the second suggested trajectory being based on the first suggested trajectory and a human driving model; and outputting the second suggested trajectory if the score corresponding to the second suggested trajectory is within a score differential threshold relative to the score corresponding to the first suggested trajectory.

公开(公告)号：US20240212363A1

公开(公告)日：2024-06-27

申请号：US18596354

申请日：2024-03-05

Applicant: TuSimple, Inc.

Inventor： Chenyang LI ,  Xiaodi HOU ,  Siyuan LIU

IPC: G06V20/58 ,  G01S7/48 ,  G01S17/08 ,  G01S17/58 ,  G01S17/66 ,  G01S17/86 ,  G01S17/88 ,  G01S17/931 ,  G08G1/16

CPC classification number: G06V20/58 ,  G01S7/4808 ,  G01S17/08 ,  G01S17/58 ,  G01S17/66 ,  G01S17/86 ,  G01S17/88 ,  G01S17/931 ,  G08G1/166

Abstract: A vehicle position and velocity estimation system based on camera and LIDAR data is disclosed. An embodiment includes: receiving input object data from a subsystem of a vehicle, the input object data including image data from an image generating device and distance data from a distance measuring device, the distance measuring device comprising one or more LIDAR sensors; determining a first position of a proximate object near the vehicle from the image data; determining a second position of the proximate object from the distance data; correlating the first position and the second position by matching the first position of the proximate object detected in the image data with the second position of the same proximate object detected in the distance data; determining a three-dimensional (3D) position of the proximate object using the correlated first and second positions; and using the 3D position of the proximate object to navigate the vehicle.

公开(公告)号：US20230331246A1

公开(公告)日：2023-10-19

申请号：US18339987

申请日：2023-06-22

Applicant: TUSIMPLE, INC.

Inventor： Cheng ZHANG ,  Xiaodi HOU ,  Sven KRATZ

IPC: B60W50/14 ,  B60W40/04 ,  B60W40/08 ,  G05D1/02 ,  H04R5/02

CPC classification number: B60W50/14 ,  B60W40/04 ,  B60W40/08 ,  G05D1/0212 ,  H04R5/02 ,  B60W2555/20 ,  B60W2540/229 ,  B60W2510/18 ,  H04R2499/13

Abstract: Disclosed are devices, systems and methods for an audio assistant in an autonomous or semi-autonomous vehicle. In one aspect the informational audio assistant receives a first set of data from a vehicle sensor and identifies an object or condition using the data from the vehicle sensor. Audio is generated representative of a perceived danger of an object or condition. A second set of data from the vehicle sensor subsystem is received and the informational audio assistant determines whether an increased danger exists based on a comparison of the first set of data to the second set of data. The informational audio assistant will apply a sound profile to the generated audio based on the increased danger.

公开(公告)号：US20230266759A1

公开(公告)日：2023-08-24

申请号：US18167993

申请日：2023-02-13

Applicant: TuSimple, Inc.

Inventor： Xiaoling HAN ,  Chenzhe QIAN ,  Chiyu ZHANG ,  Charles A. PRICE ,  Joshua Miguel RODRIGUEZ ,  Lei NIE ,  Lingting GE ,  Panqu WANG ,  Pengfei CHEN ,  Shuhan YANG ,  Xiangchen ZHAO ,  Xiaodi HOU ,  Zehua HUANG

IPC: G05D1/00

CPC classification number: G05D1/0088 ,  G05D2201/0213

Abstract: A system installed in a vehicle includes a first group of sensing devices configured to allow a first level of autonomous operation of the vehicle; a second group of sensing devices configured to allow a second level of autonomous operation of the vehicle, the second group of sensing devices including primary sensing devices and backup sensing devices; a third group of sensing devices configured to allow the vehicle to perform a safe stop maneuver; and a control element communicatively coupled to the first group of sensing devices, the second group of sensing devices, and the third group of sensing devices. The control element is configured to: receive data from at least one of the first group, the second group, or the third group of sensing devices, and provide a control signal to a sensing device based on categorization information indicating a group to which the sensing device belongs.

公开(公告)号：US20230177847A1

公开(公告)日：2023-06-08

申请号：US18102559

申请日：2023-01-27

Applicant: TuSimple, Inc.

Inventor： Xue MEI ,  Xiaodi HOU ,  Dazhou GUO ,  Yujie WEI

IPC: G06V20/56 ,  B60R11/04 ,  G07C5/00 ,  G01S17/42 ,  G06N3/02 ,  G06T7/10 ,  G06T7/246 ,  G06T5/50 ,  G06N3/08 ,  G01C21/00 ,  G06N3/045

CPC classification number: G06V20/588 ,  B60R11/04 ,  G07C5/008 ,  G01S17/42 ,  G06N3/02 ,  G06T7/10 ,  G06T7/246 ,  G06T5/50 ,  G06N3/08 ,  G01C21/3833 ,  G01C21/3867 ,  G01C21/3826 ,  G06N3/045 ,  G06T2207/20221 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/30256

Abstract: A system and method for large-scale lane marking detection using multimodal sensor data are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on a vehicle; receiving point cloud data from a distance and intensity measuring device mounted on the vehicle; fusing the image data and the point cloud data to produce a set of lane marking points in three-dimensional (3D) space that correlate to the image data and the point cloud data; and generating a lane marking map from the set of lane marking points.

公开(公告)号：US20210403050A1

公开(公告)日：2021-12-30

申请号：US17359007

申请日：2021-06-25

Applicant: TUSIMPLE, INC.

Inventor： Yiqian GAN ,  Yijie WANG ,  Xiaodi HOU ,  Lingting GE

IPC: B60W60/00 ,  G08G1/16 ,  G06K9/00 ,  G06T7/73 ,  G06T7/62 ,  G06T3/40

Abstract: Autonomous vehicles must accommodate various road configurations such as straight roads, curved roads, controlled intersections, uncontrolled intersections, and many others. Autonomous driving systems must make decisions about the speed and distance of traffic and about obstacles including obstacles that obstruct the view of the autonomous vehicle's sensors. For example, at intersections, the autonomous driving system must identify vehicles in the path of the autonomous vehicle or potentially in the path based on a planned path, estimate the distance to those vehicles, and estimate the speeds of those vehicles. Then, based on those and the road configuration and environmental conditions, the autonomous driving system must decide whether it is safe to proceed along the planned path or not, and when it is safe to proceed.

公开(公告)号：US20250014305A1

公开(公告)日：2025-01-09

申请号：US18891113

申请日：2024-09-20

Applicant: TUSIMPLE, INC.

Inventor： Siyuan LIU ,  Lingting GE ,  Chenzhe QIAN ,  Zehua HUANG ,  Xiaodi HOU

IPC: G06V10/25 ,  B60W60/00 ,  G06T7/11 ,  G06T7/70 ,  G06T11/20 ,  G06V10/82 ,  G06V20/58

Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.

公开(公告)号：US20230351556A1

公开(公告)日：2023-11-02

申请号：US18344577

申请日：2023-06-29

Applicant: TUSIMPLE, INC. ,  BEIJING TUSEN WEILAI TECHNOLOGY CO., LTD.

Inventor： Pengfei CHEN ,  Nan YU ,  Naiyan WANG ,  Xiaodi HOU

IPC: G06T5/00 ,  B60W40/02 ,  H04N25/13

CPC classification number: G06T5/002 ,  G06T5/009 ,  G06T5/004 ,  B60W40/02 ,  H04N25/13 ,  B60W2420/42 ,  G06T2207/10024

Abstract: Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

公开(公告)号：US20230326168A1

公开(公告)日：2023-10-12

申请号：US18335785

申请日：2023-06-15

Applicant: TUSIMPLE, INC.

Inventor： Siyuan LIU ,  Lingting GE ,  Chenzhe QIAN ,  Zehua HUANG ,  Xiaodi HOU

IPC: G06V10/25 ,  G06T7/11 ,  G06T7/70 ,  G06T11/20 ,  B60W60/00 ,  G06V20/58 ,  G06V10/82

CPC classification number: G06V10/25 ,  G06T7/11 ,  G06T7/70 ,  G06T11/20 ,  B60W60/0025 ,  G06V20/584 ,  G06V20/58 ,  G06V10/82 ,  B60W2554/00 ,  G06T2207/20132 ,  G06T2210/12 ,  G06T2207/30252 ,  G06T2207/30236 ,  B60W2420/42

Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.

公开(公告)号：US20210397857A1

公开(公告)日：2021-12-23

申请号：US16909950

申请日：2020-06-23

Applicant: TUSIMPLE, INC.

Inventor： Siyuan LIU ,  Lingting GE ,  Chenzhe QIAN ,  Zehua HUANG ,  Xiaodi HOU

IPC: G06K9/00 ,  G06T7/11 ,  G06K9/32 ,  G06T7/70 ,  G06T11/20 ,  B60W60/00

Abstract: Image processing techniques are described to obtain an image from a camera located on a vehicle while the vehicle is being driven, cropping a portion of the obtained image corresponding to a region of interest, detecting an object in the cropped portion, adding a bounding box around the detected object, determining position(s) of reference point(s) on the bounding box, and determining a location of the detected object in a spatial region where the vehicle is being driven based on the determined one or more positions of the second set of one or more reference points on the bounding box.