CN108495287A - 适用于车载短距离通信网自动驾驶的目标识别和学习方法 - Google Patents
适用于车载短距离通信网自动驾驶的目标识别和学习方法 Download PDFInfo
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- CN108495287A CN108495287A CN201810151229.3A CN201810151229A CN108495287A CN 108495287 A CN108495287 A CN 108495287A CN 201810151229 A CN201810151229 A CN 201810151229A CN 108495287 A CN108495287 A CN 108495287A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/44—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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Abstract
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CN201810151229.3A CN108495287B (zh) | 2018-02-13 | 2018-02-13 | 适用于车载短距离通信网自动驾驶的目标识别和学习方法 |
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CN201810151229.3A CN108495287B (zh) | 2018-02-13 | 2018-02-13 | 适用于车载短距离通信网自动驾驶的目标识别和学习方法 |
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CN108495287A true CN108495287A (zh) | 2018-09-04 |
CN108495287B CN108495287B (zh) | 2020-12-01 |
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8825350B1 (en) * | 2011-11-22 | 2014-09-02 | Kurt B. Robinson | Systems and methods involving features of adaptive and/or autonomous traffic control |
CN105631477A (zh) * | 2015-12-25 | 2016-06-01 | 天津大学 | 基于极限学习机和自适应提升的交通标志识别方法 |
CN106934319A (zh) * | 2015-12-29 | 2017-07-07 | 北京大唐高鸿软件技术有限公司 | 基于卷积神经网络的监控视频中人车目标分类方法 |
CN107273816A (zh) * | 2017-05-24 | 2017-10-20 | 浙江零跑科技有限公司 | 基于车载前视单目相机的交通限速标识检测识别方法 |
-
2018
- 2018-02-13 CN CN201810151229.3A patent/CN108495287B/zh active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8825350B1 (en) * | 2011-11-22 | 2014-09-02 | Kurt B. Robinson | Systems and methods involving features of adaptive and/or autonomous traffic control |
CN105631477A (zh) * | 2015-12-25 | 2016-06-01 | 天津大学 | 基于极限学习机和自适应提升的交通标志识别方法 |
CN106934319A (zh) * | 2015-12-29 | 2017-07-07 | 北京大唐高鸿软件技术有限公司 | 基于卷积神经网络的监控视频中人车目标分类方法 |
CN107273816A (zh) * | 2017-05-24 | 2017-10-20 | 浙江零跑科技有限公司 | 基于车载前视单目相机的交通限速标识检测识别方法 |
Non-Patent Citations (2)
Title |
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GENNARO NOTOMISTA,MICHAEL BOTSCH: "A Machine Learning Approach for the Segmentation of Driving Maneuvers and its Application in Autonomous Parking", 《JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH》 * |
陈宝靖,张旭: "自动驾驶中的疲劳预测模型", 《中国新通信》 * |
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CN108495287B (zh) | 2020-12-01 |
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