CN112261581A - Tourism bus supervision system based on GIS map and multiple positioning - Google Patents

Tourism bus supervision system based on GIS map and multiple positioning Download PDF

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Publication number
CN112261581A
CN112261581A CN202011172613.5A CN202011172613A CN112261581A CN 112261581 A CN112261581 A CN 112261581A CN 202011172613 A CN202011172613 A CN 202011172613A CN 112261581 A CN112261581 A CN 112261581A
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China
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image
module
tourist bus
gis map
position information
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Inventor
周道华
伏彦林
杨陈
周涛
曾俊
黄泓蓓
李武鸿
黄维
刘杰
王小腊
洪江
彭容
罗玉
周林
张明娟
许江泽
吴婷婷
詹飞
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Chengdu Zhongke Daqi Software Co ltd
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Chengdu Zhongke Daqi Software Co ltd
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Priority to CN202011172613.5A priority Critical patent/CN112261581A/en
Publication of CN112261581A publication Critical patent/CN112261581A/en
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    • G01—MEASURING; TESTING
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    • 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
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40—Business processes related to the transportation industry
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    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • H—ELECTRICITY
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    • H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • H04N7/188—Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
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    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
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    • 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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Abstract

The invention discloses a GIS map and various positioning-based tourism bus supervision system, which comprises: the satellite positioning module is used for acquiring first position information; the image storage module is used for storing the previous environment image and the shooting position thereof; the matching image library generating module is used for acquiring all previous environment images of which the distance between the shooting position and the first position information is within a set value and generating a matching image library; the first image acquisition module is used for acquiring a current environment image; the image positioning module is used for matching the current environment image with the previous environment image in the matching image library and calculating to obtain second position information after the matching is successful; and the GIS display module is used for displaying the real-time position of the tourist bus on the GIS map according to the first position information when the matching fails and displaying the real-time position of the tourist bus on the GIS map according to the second position information when the matching succeeds. The invention improves the positioning precision by combining the satellite positioning and the environmental image positioning.

Description

Tourism bus supervision system based on GIS map and multiple positioning
Technical Field
The invention belongs to the technical field of travel service, and particularly relates to a GIS map and multi-positioning-based travel bus supervision system.
Background
Along with the continuous improvement of living standard of people, more and more people go out to travel, meanwhile, people pay more and more attention to safety in the journey, however, the existing travel management system is more and more difficult to adapt to new requirements, for example, the existing travel bus is usually only based on a GPS system, but in some areas, GPS signals are not good, and the positioning can not be carried out through the GPS; as another example, drivers of tourism buses are not usually supervised, fatigue driving behavior of drivers may affect driving safety, and so on.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a tourist bus monitoring system based on a GIS map and various positioning.
The purpose of the invention is realized by the following technical scheme: tourism bus supervisory systems based on GIS map and multiple location includes:
the system comprises a satellite positioning module, a data processing module and a data processing module, wherein the satellite positioning module is used for acquiring first position information of a tourist bus through a satellite positioning system;
the image storage module is used for storing all previous environment images and shooting positions of the previous environment images;
the matching image library generating module is used for acquiring all previous environment images of which the distance between the shooting position and the first position information is within a set value and generating a matching image library;
the first image acquisition module is used for acquiring a current environment image of the tourist bus;
the image positioning module is used for matching the current environment image with the previous environment image in the matching image library and calculating second position information of the tourist bus after the matching is successful;
and the GIS display module is used for displaying the real-time position of the tourist bus on a GIS map according to the first position information when the image positioning module is failed to be matched and displaying the real-time position of the tourist bus on the GIS map according to the second position information when the image positioning module is successfully matched.
Preferably, the satellite positioning module includes:
the vehicle driving data submodule is used for acquiring driving data of the tourist bus;
and the satellite positioning sub-module is used for calculating first position information of the tourist bus according to the satellite signals, and calculating current first position information according to the first position information obtained last time and the traveling data of the tourist bus when no satellite signal exists.
Preferably, the image storage module further stores a shooting date of a previous environment image;
the matching image library generation module acquires all previous environment images of which the distance between the shooting position and the first position information is within a set value and the shooting date is within a preset time period, and generates a matching image library.
Preferably, the image localization module includes:
the characteristic extraction submodule is used for extracting a first characteristic of the current environment image and extracting a second characteristic of the previous environment image;
the matching sub-module is used for matching the current environment image with the previous environment image according to the first characteristic and the second characteristic;
and the image positioning sub-module is used for taking the shooting position of the previous environment image which is successfully matched as second position information.
Preferably, the tourist bus supervision system based on the GIS map and the multiple positioning further comprises:
and the image library updating module is used for storing the second position information and the corresponding current environment image as a previous environment image and a corresponding shooting position into the image storage module after the second position information is obtained through calculation.
Preferably, the tourist bus supervision system based on the GIS map and the multiple positioning further comprises:
the second image acquisition module is used for acquiring an in-vehicle video image of the tourist bus;
and the image display module is used for displaying the in-vehicle video image acquired by the second image acquisition module.
Preferably, the tourist bus supervision system based on the GIS map and the multiple positioning further comprises:
and the driving behavior detection module is used for detecting whether the driver dozes according to the video image in the vehicle and sending out an alarm signal when detecting that the driver dozes.
Preferably, the tourist bus supervision system based on the GIS map and the multiple positioning further comprises:
and the frame-fighting detection module is used for detecting whether a frame-fighting behavior exists according to the video image in the vehicle and sending an alarm signal when the frame-fighting behavior is detected.
Preferably, the tourist bus supervision system based on the GIS map and the multiple positioning further comprises:
the abnormal driving detection module is used for judging whether abnormal driving exists according to the driving data of the tourist bus and sending an alarm signal when the abnormal driving is detected;
the fire detection and alarm module is used for detecting whether the tourist bus is on fire or not and giving an alarm when the tourist bus is detected to be on fire;
and the active alarm module is used for actively alarming by personnel in the bus for travelling.
Preferably, the driving includes one or more of deviation from a preset route, abnormal parking, and speeding.
The invention has the beneficial effects that:
(1) the invention improves the positioning precision by combining the satellite positioning and the environmental image positioning;
(2) when no satellite signal exists, the current first position information is calculated according to the first position information obtained last time and the traveling data of the tourist bus, so that the positioning problem under the conditions of no satellite signal and the like is solved;
(3) the invention uses the shooting position of the previous environment image which is successfully matched as the second position information, thereby improving the positioning precision
(4) The invention improves the safety by monitoring the driving behavior of the driver, the conditions in the vehicle and the like.
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FIG. 1 is a block diagram of the components of one embodiment of the present invention;
FIG. 2 is a block diagram of portions of yet another embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-2, the present invention provides a monitoring system for a tourist bus based on a GIS map and various positioning:
as shown in fig. 1, the monitoring system for tourist bus based on GIS map and multiple positioning comprises a satellite positioning module, an image storage module, a matching image library generation module, a first image acquisition module, an image positioning module and a GIS display module.
The satellite positioning module is used for acquiring first position information of the tourist bus through a satellite positioning system, and the satellite positioning system is a GPS system, a Beidou system and the like. In some embodiments, the satellite positioning module includes a vehicle travel data sub-module and a satellite positioning sub-module. The vehicle driving data submodule is used for acquiring driving data of the tourist bus, and the driving data of the tourist bus comprises driving speed, implementation direction, up-down slope angle and the like; the satellite positioning sub-module is used for calculating first position information of the tourist bus according to the satellite signals, and calculating current first position information according to the first position information obtained last time and the traveling data of the tourist bus when no satellite signals exist. In the embodiment, the current first position information is calculated through the traveling data of the tourist bus and the nearest first position information, so that the positioning problem of the area with weak signals of the satellite positioning system is solved.
The image storage module is used for storing all previous environment images and shooting positions of the previous environment images.
The matching image library generating module is used for acquiring all previous environment images of which the distance between the shooting position and the first position information is within a set value, and generating a matching image library. That is, previous environment images in which the horizontal position and the height position of the shooting position are within a certain range are found, and then a matching image library is generated using these previous environment images.
In some embodiments, the image storage module further stores therein a date of capture of a previous environment image; the matching image library generating module acquires all previous environment images of which the distance between the shooting position and the first position information is within a set value and the shooting date is within a preset time period (the preset time period can be a certain day, a certain year, a certain date to another date and the like), and generates a matching image library; screening the previous environment image by increasing the shooting date so that the obtained previous environment image is more accurate; in addition, when more previous environment images are obtained through distance screening, the number of the previous environment images in the matching image library can be reduced, and the matching speed is improved.
The first image acquisition module is used for acquiring a current environment image of the tourist bus.
The image positioning module is used for matching the current environment image with the previous environment image in the matching image library, and calculating to obtain second position information of the tourist bus after the matching is successful. In the embodiment, a more accurate position information is obtained through satellite positioning, and then more accurate positioning is carried out by utilizing the environment image, so that positioning errors caused by the same environment characteristics in different places are avoided.
In some embodiments, the image localization module includes a feature extraction sub-module, a matching sub-module, and an image localization sub-module. The feature extraction submodule is used for extracting a first feature of the current environment image and extracting a second feature of the previous environment image; the matching submodule is used for matching the current environment image with the previous environment image according to the first characteristic and the second characteristic; and the image positioning sub-module is used for taking the shooting position of the previous environment image which is successfully matched as second position information. The first and second features may be lane lines, signs, railings, buildings and other signage objects, and the like.
The GIS display module is used for displaying the real-time position of the tourist bus on a GIS map according to the first position information when the image positioning module is failed to be matched and displaying the real-time position of the tourist bus on the GIS map according to the second position information when the image positioning module is successfully matched.
In some embodiments, the tourist bus supervision system based on the GIS map and the multiple locations further includes a gallery updating module, and the gallery updating module is configured to, after calculating the second location information, store the second location information and the corresponding current environment image as the previous environment image and the corresponding shooting location in the image storage module. By adding the corresponding current environment image to the image storage module after the second position information is obtained each time, the number of the previous environment images is increased, and the positioning accuracy of the subsequent positioning based on the environment images can be continuously improved.
In some embodiments, as shown in fig. 2, the monitoring system for a tourist bus based on a GIS map and multiple positioning further includes a second image capturing module and an image displaying module, the second image capturing module is configured to capture an in-vehicle video image of the tourist bus, and the image displaying module is configured to display the in-vehicle video image captured by the second image capturing module, so as to provide security for a tourist.
In some embodiments, the tourist bus supervision system based on the GIS map and the multiple locations further comprises a driving behavior detection module, wherein the driving behavior detection module is used for detecting whether the driver is tired according to the video image in the vehicle and sending out an alarm signal when detecting that the driver is tired, so that whether the driver is tired can be supervised, and the driving safety of the tourist bus is improved. The detection method of the fatigue driving comprises the following steps: detecting the eye closing time of the driver, and if the eye closing time of the driver in the set time exceeds a set value, determining that fatigue driving occurs; or detecting the eye sight line of the driver, and if the time that the eye sight line direction of the driver deviates from the set time ahead exceeds a set value, determining that fatigue driving occurs; or detecting the frequency of the yawning of the driver, and if the frequency of the yawning of the driver exceeds a set value within a set time, determining that fatigue driving occurs.
In some embodiments, the tourist bus supervision system based on the GIS map and various positioning further comprises a framing detection module, wherein the framing detection module is used for detecting whether a framing action exists according to the video image in the vehicle and sending an alarm signal when the framing action is detected, so that dangerous actions such as framing in the vehicle can be found in time, and the safety is improved. The method for detecting the shelf-making comprises the following steps: for a section of video, identifying all human body contours in each frame of image, detecting whether two human body contours which are reduced in distance until the two human body contours are contacted or overlapped exist or not, if not, no action of fighting a shelf exists, if so, detecting whether the approaching speed of the two human body contours exceeds a threshold value or not, otherwise, no action of fighting a shelf exists, and if so, determining that the action of fighting a shelf exists; in order to further improve the detection precision, whether the deformation quantity of the two human body contours in the preset time exceeds a threshold value can be judged, if yes, the action of fighting a shelf is considered to exist, and otherwise, the action of fighting a shelf does not exist.
In some embodiments, the GIS map and location-based tourism bus supervision system further comprises an abnormal driving detection module, a fire detection alarm module and an active alarm module. The abnormal driving detection module is used for judging whether abnormal driving exists according to the driving data of the tourist bus and sending out an alarm signal when the abnormal driving is detected, so that safety of tourists is guaranteed, and the driving comprises one or more of deviation from a preset route, abnormal parking and overspeed driving. The fire detection alarm module is used for detecting whether the tourist bus is on fire or not and giving an alarm when the tourist bus is detected to be on fire; the fire detection alarm module comprises a plurality of smoke sensors arranged at different positions on the tourist bus, and when the tourist bus is detected to catch fire, the smoke sensors send sound and light alarm signals to remind people in the vehicle and transmit alarm information to the monitoring center. The active alarm module is used for actively alarming for personnel in the bus in the tour and used for sending alarm signals to the monitoring center when the personnel in the bus (such as drivers, tour guides, passengers and the like) in the bus are in emergency.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (10)

1. Tourism bus supervisory systems based on GIS map and multiple location, its characterized in that includes:
the system comprises a satellite positioning module, a data processing module and a data processing module, wherein the satellite positioning module is used for acquiring first position information of a tourist bus through a satellite positioning system;
the image storage module is used for storing all previous environment images and shooting positions of the previous environment images;
the matching image library generating module is used for acquiring all previous environment images of which the distance between the shooting position and the first position information is within a set value and generating a matching image library;
the first image acquisition module is used for acquiring a current environment image of the tourist bus;
the image positioning module is used for matching the current environment image with the previous environment image in the matching image library and calculating second position information of the tourist bus after the matching is successful;
and the GIS display module is used for displaying the real-time position of the tourist bus on a GIS map according to the first position information when the image positioning module is failed to be matched and displaying the real-time position of the tourist bus on the GIS map according to the second position information when the image positioning module is successfully matched.
2. The GIS map and multiple location based travel bus surveillance system of claim 1, wherein the satellite positioning module comprises:
the vehicle driving data submodule is used for acquiring driving data of the tourist bus;
and the satellite positioning sub-module is used for calculating first position information of the tourist bus according to the satellite signals, and calculating current first position information according to the first position information obtained last time and the traveling data of the tourist bus when no satellite signal exists.
3. The GIS map and location based tourist bus supervision system according to claim 1, wherein said image storage module further stores therein the shooting date of the previous environment image;
the matching image library generation module acquires all previous environment images of which the distance between the shooting position and the first position information is within a set value and the shooting date is within a preset time period, and generates a matching image library.
4. The GIS map and multiple location based travel bus surveillance system of claim 1, wherein the image location module comprises:
the characteristic extraction submodule is used for extracting a first characteristic of the current environment image and extracting a second characteristic of the previous environment image;
the matching sub-module is used for matching the current environment image with the previous environment image according to the first characteristic and the second characteristic;
and the image positioning sub-module is used for taking the shooting position of the previous environment image which is successfully matched as second position information.
5. The GIS map and multiple locations based tourist bus surveillance system of claim 1, wherein the GIS map and multiple locations based tourist bus surveillance system further comprises:
and the image library updating module is used for storing the second position information and the corresponding current environment image as a previous environment image and a corresponding shooting position into the image storage module after the second position information is obtained through calculation.
6. The GIS map and multiple locations based tourist bus surveillance system of claim 1, wherein the GIS map and multiple locations based tourist bus surveillance system further comprises:
the second image acquisition module is used for acquiring an in-vehicle video image of the tourist bus;
and the image display module is used for displaying the in-vehicle video image acquired by the second image acquisition module.
7. The GIS map and multiple locations based tourist bus surveillance system of claim 6, wherein the GIS map and multiple locations based tourist bus surveillance system further comprises:
and the driving behavior detection module is used for detecting whether the driver is in fatigue driving according to the in-vehicle video image and sending out an alarm signal when detecting that the driver is in fatigue driving.
8. The GIS map and multiple locations based tourist bus surveillance system of claim 6, wherein the GIS map and multiple locations based tourist bus surveillance system further comprises:
and the frame-fighting detection module is used for detecting whether a frame-fighting behavior exists according to the video image in the vehicle and sending an alarm signal when the frame-fighting behavior is detected.
9. The GIS map and multiple locations based tourist bus surveillance system of claim 1, wherein the GIS map and multiple locations based tourist bus surveillance system further comprises:
the abnormal driving detection module is used for judging whether abnormal driving exists according to the driving data of the tourist bus and sending an alarm signal when the abnormal driving is detected;
the fire detection and alarm module is used for detecting whether the tourist bus is on fire or not and giving an alarm when the tourist bus is detected to be on fire;
and the active alarm module is used for actively alarming by personnel in the bus for travelling.
10. The GIS map and multiple location based travel bus surveillance system of claim 9, wherein the driving includes one or more of deviation from a preset route, abnormal parking, and speeding.
CN202011172613.5A 2020-10-28 2020-10-28 Tourism bus supervision system based on GIS map and multiple positioning Pending CN112261581A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023024873A1 (en) * 2021-08-24 2023-03-02 华为技术有限公司 Display method, electronic device, and system

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2372304A2 (en) * 2010-03-31 2011-10-05 Aisin Aw Co., Ltd. Vehicle position recognition system
CN102354475A (en) * 2011-10-08 2012-02-15 浙江元亨通信技术有限公司 Adaptive localization self-help tour guide method and system
CN103077373A (en) * 2012-12-30 2013-05-01 信帧电子技术（北京）有限公司 Method for detecting fighting behavior based on up limb shoulder charging
CN103473257A (en) * 2012-06-06 2013-12-25 三星电子株式会社 Apparatus and method of tracking location of wireless terminal based on image
CN105761420A (en) * 2014-12-13 2016-07-13 湖南衡山汽车制造有限公司 Passenger car automatic help-seeking system
CN108446600A (en) * 2018-02-27 2018-08-24 上海汽车集团股份有限公司 A kind of vehicle driver's fatigue monitoring early warning system and method
CN108957505A (en) * 2018-06-27 2018-12-07 四川斐讯信息技术有限公司 A kind of localization method, positioning system and portable intelligent wearable device
KR101945019B1 (en) * 2018-06-22 2019-02-01 전북대학교 산학협력단 System for swarm flight of unmanned aerial vehicles for acquiring images of crop growing distribution and method thereof
CN111508232A (en) * 2020-04-16 2020-08-07 盛视科技股份有限公司 Road safety snapshot all-in-one

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2372304A2 (en) * 2010-03-31 2011-10-05 Aisin Aw Co., Ltd. Vehicle position recognition system
CN102354475A (en) * 2011-10-08 2012-02-15 浙江元亨通信技术有限公司 Adaptive localization self-help tour guide method and system
CN103473257A (en) * 2012-06-06 2013-12-25 三星电子株式会社 Apparatus and method of tracking location of wireless terminal based on image
CN103077373A (en) * 2012-12-30 2013-05-01 信帧电子技术（北京）有限公司 Method for detecting fighting behavior based on up limb shoulder charging
CN105761420A (en) * 2014-12-13 2016-07-13 湖南衡山汽车制造有限公司 Passenger car automatic help-seeking system
CN108446600A (en) * 2018-02-27 2018-08-24 上海汽车集团股份有限公司 A kind of vehicle driver's fatigue monitoring early warning system and method
KR101945019B1 (en) * 2018-06-22 2019-02-01 전북대학교 산학협력단 System for swarm flight of unmanned aerial vehicles for acquiring images of crop growing distribution and method thereof
CN108957505A (en) * 2018-06-27 2018-12-07 四川斐讯信息技术有限公司 A kind of localization method, positioning system and portable intelligent wearable device
CN111508232A (en) * 2020-04-16 2020-08-07 盛视科技股份有限公司 Road safety snapshot all-in-one

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
樊亚红等: "基于Qt的图像与导航地图融合软件设计", 《国外电子测量技术》 *
肖心远等: "基于多信息融合的道路客运车辆及驾驶员监控系统研究", 《机电工程技术》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023024873A1 (en) * 2021-08-24 2023-03-02 华为技术有限公司 Display method, electronic device, and system

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