SG11202011959SA - Method and apparatus for object detection, intelligent driving method and device, and storage medium - Google Patents

Method and apparatus for object detection, intelligent driving method and device, and storage medium

Info

Publication number
SG11202011959SA
SG11202011959SA SG11202011959SA SG11202011959SA SG11202011959SA SG 11202011959S A SG11202011959S A SG 11202011959SA SG 11202011959S A SG11202011959S A SG 11202011959SA SG 11202011959S A SG11202011959S A SG 11202011959SA SG 11202011959S A SG11202011959S A SG 11202011959SA
Authority
SG
Singapore
Prior art keywords
storage medium
object detection
intelligent driving
driving method
intelligent
Prior art date
Application number
SG11202011959SA
Inventor
Shaoshuai Shi
Zhe Wang
Xiaogang Wang
Hongsheng Li
Original Assignee
Sensetime Group Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sensetime Group Ltd filed Critical Sensetime Group Ltd
Publication of SG11202011959SA publication Critical patent/SG11202011959SA/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/194—Segmentation; Edge detection involving foreground-background segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/469—Contour-based spatial representations, e.g. vector-coding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/12—Bounding box
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2210/00—Indexing scheme for image generation or computer graphics
    • G06T2210/56—Particle system, point based geometry or rendering

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Geometry (AREA)
  • Computer Graphics (AREA)
  • Image Analysis (AREA)
  • User Interface Of Digital Computer (AREA)
SG11202011959SA 2019-06-17 2019-11-28 Method and apparatus for object detection, intelligent driving method and device, and storage medium SG11202011959SA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201910523342.4A CN112101066B (en) 2019-06-17 2019-06-17 Target detection method and device, intelligent driving method and device and storage medium
PCT/CN2019/121774 WO2020253121A1 (en) 2019-06-17 2019-11-28 Target detection method and apparatus, intelligent driving method and device, and storage medium

Publications (1)

Publication Number Publication Date
SG11202011959SA true SG11202011959SA (en) 2021-01-28

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202011959SA SG11202011959SA (en) 2019-06-17 2019-11-28 Method and apparatus for object detection, intelligent driving method and device, and storage medium

Country Status (6)

Country Link
US (1) US20210082181A1 (en)
JP (1) JP7033373B2 (en)
KR (1) KR20210008083A (en)
CN (1) CN112101066B (en)
SG (1) SG11202011959SA (en)
WO (1) WO2020253121A1 (en)

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US20210026355A1 (en) * 2019-07-25 2021-01-28 Nvidia Corporation Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications
US11532168B2 (en) 2019-11-15 2022-12-20 Nvidia Corporation Multi-view deep neural network for LiDAR perception
US11531088B2 (en) 2019-11-21 2022-12-20 Nvidia Corporation Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
US11885907B2 (en) 2019-11-21 2024-01-30 Nvidia Corporation Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
US11277626B2 (en) 2020-02-21 2022-03-15 Alibaba Group Holding Limited Region of interest quality controllable video coding techniques
US11388423B2 (en) 2020-03-23 2022-07-12 Alibaba Group Holding Limited Region-of-interest based video encoding
TWI738367B (en) * 2020-06-01 2021-09-01 國立中正大學 Method for detecting image using convolutional neural network
US11443147B2 (en) * 2020-12-11 2022-09-13 Argo AI, LLC Systems and methods for object detection using stereovision information
CN112784691B (en) * 2020-12-31 2023-06-02 杭州海康威视数字技术股份有限公司 Target detection model training method, target detection method and device
CN115035359A (en) * 2021-02-24 2022-09-09 华为技术有限公司 Point cloud data processing method, training data processing method and device
CN112801059B (en) * 2021-04-07 2021-07-20 广东众聚人工智能科技有限公司 Graph convolution network system and 3D object detection method based on graph convolution network system
CN113298840B (en) * 2021-05-26 2022-09-16 南京邮电大学 Multi-modal object detection method, system and device based on live working scene and storage medium
CN113283349A (en) * 2021-05-28 2021-08-20 中国公路工程咨询集团有限公司 Traffic infrastructure construction target monitoring system and method based on target anchor frame optimization strategy
US20230035475A1 (en) * 2021-07-16 2023-02-02 Huawei Technologies Co., Ltd. Methods and systems for semantic segmentation of a point cloud
KR20230026130A (en) 2021-08-17 2023-02-24 충북대학교 산학협력단 Single stage 3-Dimension multi-object detecting apparatus and method for autonomous driving
CN113688738B (en) * 2021-08-25 2024-04-09 北京交通大学 Target identification system and method based on laser radar point cloud data
CN113658199B (en) * 2021-09-02 2023-11-03 中国矿业大学 Regression correction-based chromosome instance segmentation network
CN117882115A (en) * 2021-09-08 2024-04-12 华为技术有限公司 System and method for non-suggestion and clustering-free panoramic segmentation system for point clouds
CN113642585B (en) * 2021-10-14 2022-02-11 腾讯科技（深圳）有限公司 Image processing method, apparatus, device, storage medium, and computer program product
CN113780257B (en) * 2021-11-12 2022-02-22 紫东信息科技(苏州)有限公司 Multi-mode fusion weak supervision vehicle target detection method and system
CN115249349B (en) * 2021-11-18 2023-06-27 上海仙途智能科技有限公司 Point cloud denoising method, electronic equipment and storage medium
CN114298581A (en) * 2021-12-30 2022-04-08 广州极飞科技股份有限公司 Quality evaluation model generation method, quality evaluation device, electronic device, and readable storage medium
CN114445593B (en) * 2022-01-30 2024-05-10 重庆长安汽车股份有限公司 Bird's eye view semantic segmentation label generation method based on multi-frame semantic point cloud splicing
CN114509785A (en) * 2022-02-16 2022-05-17 中国第一汽车股份有限公司 Three-dimensional object detection method, device, storage medium, processor and system
CN114882046A (en) * 2022-03-29 2022-08-09 驭势科技（北京）有限公司 Panoramic segmentation method, device, equipment and medium for three-dimensional point cloud data
CN115588187B (en) * 2022-12-13 2023-04-11 华南师范大学 Pedestrian detection method, device and equipment based on three-dimensional point cloud and storage medium
CN115937644B (en) * 2022-12-15 2024-01-02 清华大学 Point cloud feature extraction method and device based on global and local fusion
CN115861561B (en) * 2023-02-24 2023-05-30 航天宏图信息技术股份有限公司 Contour line generation method and device based on semantic constraint
CN117475410B (en) * 2023-12-27 2024-03-15 山东海润数聚科技有限公司 Three-dimensional target detection method, system, equipment and medium based on foreground point screening

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Also Published As

Publication number Publication date
CN112101066B (en) 2024-03-08
WO2020253121A1 (en) 2020-12-24
JP2021532442A (en) 2021-11-25
US20210082181A1 (en) 2021-03-18
KR20210008083A (en) 2021-01-20
JP7033373B2 (en) 2022-03-10
CN112101066A (en) 2020-12-18

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