CN105631440B - 一种易受伤害道路使用者的联合检测方法 - Google Patents
一种易受伤害道路使用者的联合检测方法 Download PDFInfo
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- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106372571A (zh) * | 2016-08-18 | 2017-02-01 | 宁波傲视智绘光电科技有限公司 | 路面交通标志检测与识别方法 |
CN106446914A (zh) * | 2016-09-28 | 2017-02-22 | 天津工业大学 | 基于超像素和卷积神经网络的道路检测 |
CN106650647A (zh) * | 2016-12-09 | 2017-05-10 | 开易(深圳)科技有限公司 | 基于传统算法和深度学习算法级联的车辆检测方法及*** |
CN107688819A (zh) * | 2017-02-16 | 2018-02-13 | 平安科技(深圳)有限公司 | 车辆的识别方法及装置 |
CN107170443A (zh) * | 2017-05-12 | 2017-09-15 | 北京理工大学 | 一种模型训练层AdaBoost算法的参数优化方法 |
CN107491762B (zh) * | 2017-08-23 | 2018-05-15 | 珠海安联锐视科技股份有限公司 | 一种行人检测方法 |
CN111527013B (zh) * | 2017-12-27 | 2024-02-23 | 宝马股份公司 | 车辆变道预测 |
CN108875537B (zh) * | 2018-02-28 | 2022-11-08 | 北京旷视科技有限公司 | 对象检测方法、装置和***及存储介质 |
CN108491889A (zh) * | 2018-04-02 | 2018-09-04 | 深圳市易成自动驾驶技术有限公司 | 图像语义分割方法、装置及计算机可读存储介质 |
CN108664953B (zh) * | 2018-05-23 | 2021-06-08 | 清华大学 | 一种基于卷积自编码器模型的图像特征提取方法 |
CN108710920B (zh) * | 2018-06-05 | 2021-05-14 | 北京中油瑞飞信息技术有限责任公司 | 示功图识别方法及装置 |
CN109086716A (zh) * | 2018-08-01 | 2018-12-25 | 北京嘀嘀无限科技发展有限公司 | 一种安全带佩戴检测的方法及装置 |
CN109447943B (zh) * | 2018-09-21 | 2020-08-14 | 中国科学院深圳先进技术研究院 | 一种目标检测方法、***及终端设备 |
CN110956069B (zh) * | 2019-05-30 | 2022-06-21 | 魔门塔(苏州)科技有限公司 | 一种行人3d位置的检测方法及装置、车载终端 |
CN110570338A (zh) * | 2019-09-06 | 2019-12-13 | 广州亚鼎信息科技有限公司 | 一种高速公路在线培训考核平台 |
CN111210484B (zh) * | 2019-12-31 | 2024-04-19 | 上海联影智能医疗科技有限公司 | 医学图像生成方法、模型训练方法、装置及介质 |
CN113743488B (zh) * | 2021-08-24 | 2023-09-19 | 江门职业技术学院 | 基于平行车联网的车辆监控方法、装置、设备及存储介质 |
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CN103745196A (zh) * | 2013-12-27 | 2014-04-23 | 东软集团股份有限公司 | 广义行人检测方法和装置 |
CN103886279A (zh) * | 2012-12-21 | 2014-06-25 | 本田技研工业株式会社 | 使用合成训练数据的实时骑车人检测 |
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CN103886279A (zh) * | 2012-12-21 | 2014-06-25 | 本田技研工业株式会社 | 使用合成训练数据的实时骑车人检测 |
CN103745196A (zh) * | 2013-12-27 | 2014-04-23 | 东软集团股份有限公司 | 广义行人检测方法和装置 |
Non-Patent Citations (2)
Title |
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3D Object Proposals for Accurate Object Class Detection;Xiaozhi Chen et al;《NIPS’15 proceedings of 28th international conference on neural information processing systems》;20151212;第1卷;第424-432页 |
Pedestrian Detection with Deep Convolutional Neural Network;Xiaogang Chen et al;《ACCV 2014 Workshops》;20151231;第354-365页 |
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Inventor after: Li Keqiang Inventor after: Li Xiaofei Inventor after: Wang Jianqiang Inventor after: Xu Qing Inventor after: Wang Xiao Inventor after: Xiong Hui Inventor after: Wang Lei Inventor after: Kong Zhouwei Inventor before: Li Keqiang Inventor before: Li Xiaofei Inventor before: Wang Jianqiang Inventor before: Xu Qing Inventor before: Wang Xiao Inventor before: Xiong Hui Inventor before: Kong Zhouwei |
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Effective date of registration: 20170504 Address after: 100084 Beijing City, Haidian District Tsinghua Yuan Applicant after: Tsinghua University Applicant after: Chongqing Changan Automobile Co., Ltd. Address before: 100084 Beijing City, Haidian District Tsinghua Yuan Applicant before: Tsinghua University |
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