CN111830502B - 数据集的建立方法、车辆和存储介质 - Google Patents
数据集的建立方法、车辆和存储介质 Download PDFInfo
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- CN111830502B CN111830502B CN202010618892.7A CN202010618892A CN111830502B CN 111830502 B CN111830502 B CN 111830502B CN 202010618892 A CN202010618892 A CN 202010618892A CN 111830502 B CN111830502 B CN 111830502B
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Abstract
Description
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Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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CN202010618892.7A CN111830502B (zh) | 2020-06-30 | 2020-06-30 | 数据集的建立方法、车辆和存储介质 |
EP20900681.6A EP3961256A4 (en) | 2020-06-30 | 2020-10-16 | DATA SET ESTABLISHMENT METHOD AND STORAGE MEDIA |
PCT/CN2020/121496 WO2022000857A1 (zh) | 2020-06-30 | 2020-10-16 | 数据集的建立方法、车辆和存储介质 |
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CN202010618892.7A CN111830502B (zh) | 2020-06-30 | 2020-06-30 | 数据集的建立方法、车辆和存储介质 |
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CN111830502A CN111830502A (zh) | 2020-10-27 |
CN111830502B true CN111830502B (zh) | 2021-10-12 |
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CN202010618892.7A Active CN111830502B (zh) | 2020-06-30 | 2020-06-30 | 数据集的建立方法、车辆和存储介质 |
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EP (1) | EP3961256A4 (zh) |
CN (1) | CN111830502B (zh) |
WO (1) | WO2022000857A1 (zh) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
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CN112419717B (zh) * | 2020-11-13 | 2022-03-11 | 中国第一汽车股份有限公司 | 目标管理方法、装置、车辆及存储介质 |
CN114445914A (zh) * | 2022-01-26 | 2022-05-06 | 厦门大学 | 基于视频的毫米波数据自动标注方法及*** |
CN114638262B (zh) * | 2022-03-09 | 2024-02-27 | 西北工业大学 | 基于时频二维特征学习的雷达对海杂波智能抑制方法 |
CN114814765B (zh) * | 2022-03-24 | 2024-07-16 | 西安电子科技大学 | 一种基于多片ft-m6678芯片的雷达目标分类方法 |
CN114924274B (zh) * | 2022-04-08 | 2023-06-30 | 苏州大学 | 一种基于固定网格的高动态铁路环境雷达感知方法 |
CN115144843A (zh) * | 2022-06-28 | 2022-10-04 | 海信集团控股股份有限公司 | 一种物***置的融合方法及装置 |
CN115393680B (zh) * | 2022-08-08 | 2023-06-06 | 武汉理工大学 | 雾天场景下多模态信息时空融合的3d目标检测方法及*** |
WO2024113207A1 (zh) * | 2022-11-30 | 2024-06-06 | 华为技术有限公司 | 一种数据处理方法以及装置 |
CN117129975A (zh) * | 2023-08-14 | 2023-11-28 | 深圳承泰科技有限公司 | 一种基于激光雷达做真值的雷达报警自动测试方法及*** |
CN117036868B (zh) * | 2023-10-08 | 2024-01-26 | 之江实验室 | 一种人体感知模型的训练方法、装置、介质及电子设备 |
Citations (6)
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EP0911647A3 (en) * | 1997-08-28 | 2003-01-15 | Japan Defence Agency | Flight system and system for forming virtual images for aircraft |
CN108509972A (zh) * | 2018-01-16 | 2018-09-07 | 天津大学 | 一种基于毫米波和激光雷达的障碍物特征提取方法 |
CN110018470A (zh) * | 2019-03-01 | 2019-07-16 | 北京纵目安驰智能科技有限公司 | 基于多传感器前融合的实例标注方法、模型、终端和存储介质 |
CN110794396A (zh) * | 2019-08-05 | 2020-02-14 | 上海埃威航空电子有限公司 | 基于激光雷达和导航雷达的多目标识别方法及*** |
CN111310840A (zh) * | 2020-02-24 | 2020-06-19 | 北京百度网讯科技有限公司 | 数据融合处理方法、装置、设备和存储介质 |
CN111339876A (zh) * | 2020-02-19 | 2020-06-26 | 北京百度网讯科技有限公司 | 用于识别场景中各区域类型的方法和装置 |
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US9383753B1 (en) * | 2012-09-26 | 2016-07-05 | Google Inc. | Wide-view LIDAR with areas of special attention |
CN108229366B (zh) * | 2017-12-28 | 2021-12-14 | 北京航空航天大学 | 基于雷达和图像数据融合的深度学习车载障碍物检测方法 |
CN108872991A (zh) * | 2018-05-04 | 2018-11-23 | 上海西井信息科技有限公司 | 目标物检测与识别方法、装置、电子设备、存储介质 |
CN108694731A (zh) * | 2018-05-11 | 2018-10-23 | 武汉环宇智行科技有限公司 | 基于低线束激光雷达和双目相机的融合定位方法及设备 |
CN110363820B (zh) * | 2019-06-28 | 2023-05-16 | 东南大学 | 一种基于激光雷达、图像前融合的目标检测方法 |
CN111077506B (zh) * | 2019-12-12 | 2022-04-19 | 苏州智加科技有限公司 | 对毫米波雷达进行标定的方法、装置及*** |
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2020
- 2020-06-30 CN CN202010618892.7A patent/CN111830502B/zh active Active
- 2020-10-16 WO PCT/CN2020/121496 patent/WO2022000857A1/zh unknown
- 2020-10-16 EP EP20900681.6A patent/EP3961256A4/en active Pending
Patent Citations (6)
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EP0911647A3 (en) * | 1997-08-28 | 2003-01-15 | Japan Defence Agency | Flight system and system for forming virtual images for aircraft |
CN108509972A (zh) * | 2018-01-16 | 2018-09-07 | 天津大学 | 一种基于毫米波和激光雷达的障碍物特征提取方法 |
CN110018470A (zh) * | 2019-03-01 | 2019-07-16 | 北京纵目安驰智能科技有限公司 | 基于多传感器前融合的实例标注方法、模型、终端和存储介质 |
CN110794396A (zh) * | 2019-08-05 | 2020-02-14 | 上海埃威航空电子有限公司 | 基于激光雷达和导航雷达的多目标识别方法及*** |
CN111339876A (zh) * | 2020-02-19 | 2020-06-26 | 北京百度网讯科技有限公司 | 用于识别场景中各区域类型的方法和装置 |
CN111310840A (zh) * | 2020-02-24 | 2020-06-19 | 北京百度网讯科技有限公司 | 数据融合处理方法、装置、设备和存储介质 |
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Publication number | Publication date |
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CN111830502A (zh) | 2020-10-27 |
WO2022000857A1 (zh) | 2022-01-06 |
EP3961256A4 (en) | 2022-08-17 |
EP3961256A1 (en) | 2022-03-02 |
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