CN110736460A - 基于神经网络的位置融合方法及系统、车载终端 - Google Patents
基于神经网络的位置融合方法及系统、车载终端 Download PDFInfo
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- CN110736460A CN110736460A CN201810796270.6A CN201810796270A CN110736460A CN 110736460 A CN110736460 A CN 110736460A CN 201810796270 A CN201810796270 A CN 201810796270A CN 110736460 A CN110736460 A CN 110736460A
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- 238000013528 artificial neural network Methods 0.000 title claims abstract description 57
- 238000007500 overflow downdraw method Methods 0.000 title claims abstract description 18
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- 238000012545 processing Methods 0.000 description 10
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- 230000003044 adaptive effect Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
- G01C21/165—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/45—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement
- G01S19/47—Determining position by combining measurements of signals from the satellite radio beacon positioning system with a supplementary measurement the supplementary measurement being an inertial measurement, e.g. tightly coupled inertial
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Navigation (AREA)
- Gyroscopes (AREA)
Abstract
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CN201810796270.6A CN110736460B (zh) | 2018-07-19 | 2018-07-19 | 基于神经网络的位置融合方法及系统、车载终端 |
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Cited By (2)
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---|---|---|---|---|
CN111652065A (zh) * | 2020-04-30 | 2020-09-11 | 济南浪潮高新科技投资发展有限公司 | 基于车辆感知和智能穿戴的多模态安全驾驶方法、设备及系统 |
CN113252060A (zh) * | 2021-05-31 | 2021-08-13 | 智道网联科技(北京)有限公司 | 基于神经网络模型的车辆轨迹推算方法及装置 |
Citations (7)
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US5991675A (en) * | 1993-06-02 | 1999-11-23 | Honda Giken Kogyo Kabushiki Kaisha | Vehicle control system based on estimation of the driving skill of a vehicle operator |
JP2004011498A (ja) * | 2002-06-05 | 2004-01-15 | Nissan Motor Co Ltd | 駆動力制御装置 |
CN101158588A (zh) * | 2007-11-16 | 2008-04-09 | 北京航空航天大学 | 一种基于集成神经网络的微小卫星用mems陀螺仪误差补偿方法 |
CN106066644A (zh) * | 2016-06-17 | 2016-11-02 | 百度在线网络技术(北京)有限公司 | 建立智能车辆控制模型的方法、智能车辆控制方法及装置 |
CN107415939A (zh) * | 2017-03-17 | 2017-12-01 | 江苏大学 | 一种分布式驱动电动汽车转向稳定性控制方法 |
US20180045531A1 (en) * | 2016-08-12 | 2018-02-15 | International Business Machines Corporation | Tracing vehicle paths |
CN108068815A (zh) * | 2016-11-14 | 2018-05-25 | 百度(美国)有限责任公司 | 用于自动驾驶车辆的基于规划反馈的决策改进系统 |
-
2018
- 2018-07-19 CN CN201810796270.6A patent/CN110736460B/zh active Active
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US5991675A (en) * | 1993-06-02 | 1999-11-23 | Honda Giken Kogyo Kabushiki Kaisha | Vehicle control system based on estimation of the driving skill of a vehicle operator |
JP2004011498A (ja) * | 2002-06-05 | 2004-01-15 | Nissan Motor Co Ltd | 駆動力制御装置 |
CN101158588A (zh) * | 2007-11-16 | 2008-04-09 | 北京航空航天大学 | 一种基于集成神经网络的微小卫星用mems陀螺仪误差补偿方法 |
CN106066644A (zh) * | 2016-06-17 | 2016-11-02 | 百度在线网络技术(北京)有限公司 | 建立智能车辆控制模型的方法、智能车辆控制方法及装置 |
US20170361873A1 (en) * | 2016-06-17 | 2017-12-21 | Baidu Online Network Technology (Beijing) Co., Ltd. | Method of building smart vehicle control model, and method and apparatus for controlling smart vehicle |
US20180045531A1 (en) * | 2016-08-12 | 2018-02-15 | International Business Machines Corporation | Tracing vehicle paths |
CN108068815A (zh) * | 2016-11-14 | 2018-05-25 | 百度(美国)有限责任公司 | 用于自动驾驶车辆的基于规划反馈的决策改进系统 |
CN107415939A (zh) * | 2017-03-17 | 2017-12-01 | 江苏大学 | 一种分布式驱动电动汽车转向稳定性控制方法 |
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Title |
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DAVIDE A. CUCCIMATTEO MATTEUCCILUCA BASCETTA: "Pose Tracking and Sensor Self-Calibration for an All-terrain Autonomous Vehicle", 《IFAC-PAPERSONLINE》 * |
石炜等: "基于陀螺仪的方向盘转角传感器", 《仪表技术与传感器》 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111652065A (zh) * | 2020-04-30 | 2020-09-11 | 济南浪潮高新科技投资发展有限公司 | 基于车辆感知和智能穿戴的多模态安全驾驶方法、设备及系统 |
CN113252060A (zh) * | 2021-05-31 | 2021-08-13 | 智道网联科技(北京)有限公司 | 基于神经网络模型的车辆轨迹推算方法及装置 |
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Address after: 201822 No.208, building 4, no.1411, Yecheng Road, Jiading Industrial Zone, Jiading District, Shanghai Applicant after: Botai vehicle networking technology (Shanghai) Co.,Ltd. Address before: 201822 No.208, building 4, no.1411, Yecheng Road, Jiading Industrial Zone, Jiading District, Shanghai Applicant before: SHANGHAI PATEO ELECTRONIC EQUIPMENT MANUFACTURING Co.,Ltd. |
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Address after: Room 3701, No. 866 East Changzhi Road, Hongkou District, Shanghai, 200080 Patentee after: Botai vehicle networking technology (Shanghai) Co.,Ltd. Country or region after: China Address before: 201822 No.208, building 4, no.1411, Yecheng Road, Jiading Industrial Zone, Jiading District, Shanghai Patentee before: Botai vehicle networking technology (Shanghai) Co.,Ltd. Country or region before: China |