-
公开(公告)号:US11010616B2
公开(公告)日:2021-05-18
申请号:US16867472
申请日:2020-05-05
Applicant: TUSIMPLE, INC.
Inventor: Zehua Huang , Pengfei Chen , Panqu Wang
Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.
-
公开(公告)号:US20210078600A1
公开(公告)日:2021-03-18
申请号:US17019135
申请日:2020-09-11
Applicant: TUSIMPLE, INC.
Inventor: Charles A. Price , Zehua Huang , Xiaoling Han , Ruiliang Zhang , Xiaodi Hou
IPC: B60W60/00 , B60W30/095 , G08G1/14 , G08G1/16 , G01C21/00
Abstract: Disclosed are distributed computing systems and methods for controlling multiple autonomous control modules and subsystems in an autonomous vehicle. In some aspects of the disclosed technology, a computing architecture for an autonomous vehicle includes distributing the complexity of autonomous vehicle operation, thereby avoiding the use of a single high-performance computing system and enabling off-the-shelf components to be use more readily and reducing system failure rates.
-
公开(公告)号:US10679074B2
公开(公告)日:2020-06-09
申请号:US16209262
申请日:2018-12-04
Applicant: TuSimple, Inc.
Inventor: Zehua Huang , Pengfei Chen , Panqu Wang
Abstract: A system and method for semantic segmentation using hybrid dilated convolution (HDC) are disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image; performing a convolution operation on the feature map and producing multiple convolution layers; grouping the multiple convolution layers into a plurality of groups; applying different dilation rates for different convolution layers in a single group of the plurality of groups; and applying a same dilation rate setting across all groups of the plurality of groups.
-
公开(公告)号:US12156369B2
公开(公告)日:2024-11-26
申请号:US18354561
申请日:2023-07-18
Applicant: TUSIMPLE, INC.
Inventor: Kaixin Zheng , Xiaoling Han , Zehua Huang , Todd Skinner
IPC: H05K7/20 , B60R16/023 , B60R16/03 , G05D1/00 , G06F1/20 , G06F1/3206 , G06F1/3287
Abstract: Techniques are described for managing temperature in an autonomous vehicle. An exemplary method comprises performing autonomous driving operations that operate the autonomous vehicle in an autonomous mode, receiving one or more messages from a temperature sensor associated with an electrical device located on or in the autonomous vehicle while the autonomous vehicle is operated in the autonomous mode, determining a cooling technique to reduce the temperature of electrical device, and performing the cooling technique.
-
公开(公告)号:US11724677B2
公开(公告)日:2023-08-15
申请号:US17019161
申请日:2020-09-11
Applicant: TUSIMPLE, INC.
Inventor: Xiaoling Han , Kun Zhang , Yu-Ju Hsu , Frederic Rocha , Zehua Huang , Charles A. Price
CPC classification number: B60T8/171 , B60T8/1708 , B60T8/885 , B60T2250/04 , B60T2270/402
Abstract: Described are devices, systems and methods for managing a supplemental brake control system in autonomous vehicles. In some aspects, a supplemental brake management system includes brake control hardware and software that operates with a sensing mechanism for determining the brake operational status and a control mechanism for activating the supplemental brake control in an autonomous vehicle, which can be implemented in addition to the vehicle's primary brake control system.
-
公开(公告)号:US11715277B2
公开(公告)日:2023-08-01
申请号:US16909950
申请日:2020-06-23
Applicant: TUSIMPLE, INC.
Inventor: Siyuan Liu , Lingting Ge , Chenzhe Qian , Zehua Huang , Xiaodi Hou
CPC classification number: G06V10/25 , B60W60/0025 , G06T7/11 , G06T7/70 , G06T11/20 , G06V10/82 , G06V20/58 , G06V20/584 , B60W2420/42 , B60W2554/00 , G06T2207/20132 , G06T2207/30236 , G06T2207/30252 , G06T2210/12
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:US11702108B2
公开(公告)日:2023-07-18
申请号:US17019135
申请日:2020-09-11
Applicant: TUSIMPLE, INC.
Inventor: Charles A. Price , Zehua Huang , Xiaoling Han , Ruiliang Zhang , Xiaodi Hou
IPC: B60W60/00 , B60W30/095 , G08G1/14 , G08G1/16 , G01C21/00
CPC classification number: B60W60/0017 , B60W30/0956 , B60W60/0027 , G01C21/3815 , G08G1/143 , G08G1/16 , B60W2420/42 , B60W2420/52 , B60W2510/0604 , B60W2510/1005 , B60W2510/18 , B60W2510/20 , B60W2554/20 , B60W2554/4041 , B60W2554/4044
Abstract: Disclosed are distributed computing systems and methods for controlling multiple autonomous control modules and subsystems in an autonomous vehicle. In some aspects of the disclosed technology, a computing architecture for an autonomous vehicle includes distributing the complexity of autonomous vehicle operation, thereby avoiding the use of a single high-performance computing system and enabling off-the-shelf components to be use more readily and reducing system failure rates.
-
公开(公告)号:US20230182742A1
公开(公告)日:2023-06-15
申请号:US18065210
申请日:2022-12-13
Applicant: TuSimple, Inc.
Inventor: Xiaoling Han , Zehua Huang , Kun Zhang
CPC classification number: B60W40/02 , B60W60/0015 , G06V20/56 , G06V10/82 , H04N23/23 , G01W1/14 , B60W2420/42 , B60W2420/52 , B60W2555/20 , B60W2556/20 , B60W2556/35
Abstract: A system includes an autonomous vehicle and a control device associated with the autonomous vehicle. The control device obtains a plurality of sensor data captured by sensors of the autonomous vehicle. The control device determines a plurality of rainfall levels based on the sensor data. Each rainfall level is captured by a different sensor. the control device determines an aggregated rainfall level in a particular time period by combining the plurality of rainfall levels determined during the particular time period. The control device selects a particular object detection algorithm for detecting objects by at least one sensor. The particular object detection algorithm is configured to filter at least a portion of interference caused by the aggregated rainfall level in the sensor data. The control device causes the particular object detection algorithm to be implemented for the at least one sensor.
-
公开(公告)号:US20230113208A1
公开(公告)日:2023-04-13
申请号:US18061422
申请日:2022-12-02
Applicant: TUSIMPLE, INC.
Inventor: Zhujia Shi , Charles A. Price , Zehua Huang , Xiaodi Hou , Xiaoling Han , Todd Skinner
Abstract: Disclosed are devices, systems and methods for using a rotating camera for vehicular operation. One example of a method for improving driving includes determining, by a processor in the vehicle, that a trigger has activated, orienting, based on the determining, a single rotating camera towards a direction of interest, and activating a recording functionality of the single rotating camera, where the vehicle comprises the single rotating camera and one or more fixed cameras, and where the single rotating camera provides a redundant functionality for, and consumes less power than, the one or more fixed cameras.
-
公开(公告)号:US11587304B2
公开(公告)日:2023-02-21
申请号:US16159060
申请日:2018-10-12
Applicant: TuSimple, Inc.
Inventor: Panqu Wang , Pengfei Chen , Zehua Huang
Abstract: A system and method for occluding contour detection using a fully convolutional neural network is disclosed. A particular embodiment includes: receiving an input image; producing a feature map from the input image by semantic segmentation; learning an array of upscaling filters to upscale the feature map into a final dense feature map of a desired size; applying the array of upscaling filters to the feature map to produce contour information of objects and object instances detected in the input image; and applying the contour information onto the input image.
-
-
-
-
-
-
-
-
-