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公开(公告)号:US20210397867A1
公开(公告)日:2021-12-23
申请号:US16909962
申请日:2020-06-23
Applicant: TUSIMPLE, INC.
Inventor: Lingting GE , Siyuan LIU , Chenzhe QIAN , Yijie WANG , Zehua HUANG , Xiaodi HOU
Abstract: Image processing techniques are described to select and crop a region of interest from an image obtained from a camera located on or in a vehicle, such as an autonomous semi-trailer truck. The region of interest can be identified by selecting one or more reference points and determining one or more positions of the one or more reference points on the image obtained from the camera. As an example, a location of two reference points may be 500 meters and 1000 meters in front of a location of autonomous vehicle, where the front of the autonomous vehicle is an area towards which the autonomous vehicle is being driven.
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公开(公告)号:US20210086777A1
公开(公告)日:2021-03-25
申请号:US17022875
申请日:2020-09-16
Applicant: TUSIMPLE, INC.
Inventor: Kun ZHANG , Xiaoling HAN , Weina MAO , Zehua HUANG , Charles A. PRICE
IPC: B60W40/068 , B60W10/18 , B60W30/14
Abstract: Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.
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公开(公告)号:US20210024092A1
公开(公告)日:2021-01-28
申请号:US16938279
申请日:2020-07-24
Applicant: TUSIMPLE, INC.
Inventor: Xiaoling HAN , Kaixin ZHENG , Jay DAY , Jeffrey RENN , Todd SKINNER , Charles A. PRICE , Zehua HUANG
Abstract: Described are devices, systems and methods for managing power generation, storage and/or distribution in autonomous vehicles. In some aspects, a system for power management in an autonomous vehicle having a main power source and one or more alternators includes a vehicle control unit, a secondary power source, and a power management unit. In some embodiments, the power management unit is configured on an autonomous vehicle having a single alternator-charging system for battery charging and battery power control with different battery packs. In some embodiments, the power management unit is configured on an autonomous vehicle having multiple alternator-charging systems for battery charging and battery power control for different battery packs.
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公开(公告)号:US20200265244A1
公开(公告)日:2020-08-20
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.
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公开(公告)号:US20200160067A1
公开(公告)日:2020-05-21
申请号:US16752632
申请日:2020-01-25
Applicant: TuSimple, Inc.
Inventor: Zehua HUANG , Pengfei CHEN , Panqu WANG , Ke XU
Abstract: A system and method for image localization based on semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device mounted on an autonomous vehicle; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; identifying extraneous objects in the semantic label image data; removing the extraneous objects from the semantic label image data; comparing the semantic label image data to a baseline semantic label map; and determining a vehicle location of the autonomous vehicle based on information in a matching baseline semantic label map.
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36.
公开(公告)号:US20180365835A1
公开(公告)日:2018-12-20
申请号:US15623323
申请日:2017-06-14
Applicant: TuSimple
Inventor: Zhipeng YAN , Zehua HUANG , Pengfei CHEN , Panqu WANG
Abstract: A system and method for actively selecting and labeling images for semantic segmentation are disclosed. A particular embodiment includes: receiving image data from an image generating device; performing semantic segmentation or other object detection on the received image data to identify and label objects in the image data and produce semantic label image data; determining the quality of the semantic label image data based on prediction probabilities associated with regions or portions of the image; and identifying a region or portion of the image for manual labeling if an associated prediction probability is below a pre-determined threshold.
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公开(公告)号:US20240427322A1
公开(公告)日:2024-12-26
申请号:US18824389
申请日:2024-09-04
Applicant: TUSIMPLE, INC.
Inventor: Zehua HUANG , Yixin YANG
IPC: G05B23/02
Abstract: Disclosed are devices, systems and methods for the operational testing on autonomous vehicles. One exemplary method includes configuring a primary vehicular model with an algorithm, calculating one or more trajectories for each of one or more secondary vehicular models that exclude the algorithm, configuring the one or more secondary vehicular models with a corresponding trajectory of the one or more trajectories, generating an updated algorithm based on running a simulation of the primary vehicular model interacting with the one or more secondary vehicular models that conform to the corresponding trajectory in the simulation, and integrating the updated algorithm into an algorithmic unit of the autonomous vehicle.
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公开(公告)号:US20240233525A1
公开(公告)日:2024-07-11
申请号:US18440908
申请日:2024-02-13
Applicant: TUSIMPLE, INC.
Inventor: Zhujia SHI , Charles A. PRICE , Zehua HUANG , Xiaodi HOU , Xiaoling HAN , Todd SKINNER
CPC classification number: G08G1/0175 , B60R11/04 , B60R21/0136 , G01S17/89 , G03B17/561 , G05D1/81 , G06V20/625
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.
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公开(公告)号:US20230350399A1
公开(公告)日:2023-11-02
申请号:US18350691
申请日:2023-07-11
Applicant: TUSIMPLE, INC.
Inventor: Zehua HUANG , Yixin YANG
CPC classification number: G05B23/0254 , G05D1/0088
Abstract: Disclosed are devices, systems and methods for the operational testing on autonomous vehicles. One exemplary method includes configuring a primary vehicular model with an algorithm, calculating one or more trajectories for each of one or more secondary vehicular models that exclude the algorithm, configuring the one or more secondary vehicular models with a corresponding trajectory of the one or more trajectories, generating an updated algorithm based on running a simulation of the primary vehicular model interacting with the one or more secondary vehicular models that conform to the corresponding trajectory in the simulation, and integrating the updated algorithm into an algorithmic unit of the autonomous vehicle.
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公开(公告)号:US20230347914A1
公开(公告)日:2023-11-02
申请号:US18348525
申请日:2023-07-07
Applicant: TUSIMPLE, INC.
Inventor: Mohamed Hassan Ahmed Hassan WAHBA , Yu-Ju HSU , Zehua HUANG , Xiaoling HAN
IPC: B60W50/029 , B60W50/02 , B60W10/20 , B60W10/18 , B60W60/00
CPC classification number: B60W50/029 , B60W50/0205 , B60W10/20 , B60W10/18 , B60W60/0015 , B60W2556/60
Abstract: Techniques are described to enable a vehicle, such as an autonomous vehicle, to steer and/or apply brakes on a road when a failure condition occurs. An example method for autonomous driving operation includes receiving a reduced set of location information that describes a location of the autonomous vehicle on a road; receiving a reduced set of trajectory information where the autonomous vehicle is expected to be driven; determining a driving path information where the autonomous vehicle is expected to be driven; and in response to determining an occurrence of a fault condition: sending a first instruction to cause the autonomous vehicle to steer the autonomous vehicle using at least the driving path information and the reduced set of location information, and sending a second instruction to cause the autonomous vehicle to apply brakes.
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