CN103453914B - The cloud navigational system of intelligent updating map and method - Google Patents

The cloud navigational system of intelligent updating map and method Download PDF

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CN103453914B
CN103453914B CN201210169148.9A CN201210169148A CN103453914B CN 103453914 B CN103453914 B CN 103453914B CN 201210169148 A CN201210169148 A CN 201210169148A CN 103453914 B CN103453914 B CN 103453914B
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car
information
module
mounted terminal
road
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CN103453914A (en
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闫立军
陈玺煌
潘正祥
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Shenzhen Graduate School Harbin Institute of Technology
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Shenzhen Graduate School Harbin Institute of Technology
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Abstract

The invention provides a kind of cloud navigational system and method for intelligent updating map, this system comprises: cloud server and multiple car-mounted terminal; Wherein, car-mounted terminal is used for gathering car speed information by OBD and gathering car location message by GPS, and sends to cloud server; The navigation instruction that user inputs also is sent to cloud server by car-mounted terminal; Cloud server is used for receiving and integrating car speed information, car location message and area map information, extracting newly-increased road information is added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal.The information that the present invention collects according to car-mounted terminal, the road that intellectual analysis newly increases, and added in map, thus in navigation thereafter, this road is included in planning, for car-mounted terminal provides the path navigation information of renewal.

Description

The cloud navigational system of intelligent updating map and method
Technical field
The present invention relates to GPS navigation technology, more particularly, relate to a kind of cloud navigational system and method for intelligent updating map.
Background technology
Mostly existing navigational system is to employ a large amount of manpowers to adopt autoptical mode to find, add new highway, wastes a large amount of manpower.Further, the map after renewal will come into operation, and also needs users to download.A lot of user be unfamiliar with network or busier when, map rejuvenation not in time, just may cause navigating unsuccessfully.Current road guide system is not also based on the road guide system of the intelligent updating map of cloud computing.
Summary of the invention
The technical problem to be solved in the present invention is, for the above-mentioned defect that effectively cannot upgrade map of existing automobile GPS navigation system, provides a kind of cloud navigational system and method for intelligent updating map.
The technical solution adopted for the present invention to solve the technical problems is: the cloud navigational system constructing a kind of intelligent updating map, comprising: cloud server and multiple car-mounted terminal;
Described car-mounted terminal is used for gathering car speed information by OBD and gathering car location message by GPS, and sends to cloud server; The navigation instruction that user inputs also is sent to cloud server by described car-mounted terminal;
Described cloud server is for receiving car speed information and the car location message of multiple car-mounted terminal, extract newly-increased road information to be added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal.
According in the cloud navigational system of intelligent updating map of the present invention, described car-mounted terminal comprises: Vehicle Controller and the GPS module be attached thereto, OBD module, human-computer interaction module and network communication module;
Described GPS module is for obtaining car location message;
Described OBD module is for obtaining car speed information;
Described human-computer interaction module is for receiving the navigation instruction of user's input, and the navigation information that shows paths is to user;
Described Vehicle Controller is used for the car speed information by described OBD module acquires and the car location message that gathered by described GPS module, and by the navigation instruction that the user that described human-computer interaction module receives inputs, send to described cloud server by described network communication module; And described Vehicle Controller receives the path navigation information of described cloud server issue by described network communication module and shows at described human-computer interaction module.
According in the cloud navigational system of intelligent updating map of the present invention, described cloud server comprises:
Data acquisition module, for storing car speed information and the car location message of described multiple car-mounted terminal collection, and storage area cartographic information;
Data Integration module, for integrating car speed information, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage;
Data analysis module, reads data genaration path navigation information for the navigation instruction inputted according to described user from described Data Integration module;
Data publication module, the car-mounted terminal that the path navigation Information issued for generating is extremely corresponding.
According in the cloud navigational system of intelligent updating map of the present invention, described Data Integration module is also deleted in predetermined period not by the road information used in area map information.
Present invention also offers a kind of cloud air navigation aid of intelligent updating map, comprise the following steps:
The car speed information that car-mounted terminal is gathered by OBD and the car location message gathered by GPS, and send to cloud server; The navigation instruction that user inputs also is sent to cloud server by described car-mounted terminal;
Described cloud server receives car speed information and the car location message of multiple car-mounted terminal, extract newly-increased road information to be added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal.
According in the cloud air navigation aid of intelligent updating map of the present invention, car-mounted terminal is by following steps collection and interaction data:
Vehicle Controller is by OBD module acquires car speed information and send to described cloud server by network communication module;
Vehicle Controller gathers car location message by GPS module and sends to described cloud server by network communication module;
Vehicle Controller receives the navigation instruction of user's input by human-computer interaction module and sends to described cloud server by network communication module;
Vehicle Controller receives the path navigation information of cloud server issue by described network communication module and shows at described human-computer interaction module.
According in the cloud air navigation aid of intelligent updating map of the present invention, described cloud server is gathered by following steps and releases news:
Car speed information and the car location message of described multiple car-mounted terminal collection is stored by data acquisition module, and storage area cartographic information;
By Data Integration module integrated required car speed information, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage;
The navigation instruction inputted according to described user by data analysis module reads data genaration path navigation information from described Data Integration module;
By data publication module by car-mounted terminal extremely corresponding for the path navigation Information issued of generation.
According in the cloud air navigation aid of intelligent updating map of the present invention, described Data Integration module is also deleted in predetermined period not by the road information used in area map information.
Implement cloud navigational system and the method for intelligent updating map of the present invention, there is following beneficial effect: the information that the present invention can collect according to car-mounted terminal, the road that intellectual analysis newly increases, and added in map, thus in navigation thereafter, this road is included in planning, for car-mounted terminal provides the path navigation information of renewal.The present invention by not detected by the road of road as construction used, can also can delete, and then can accomplish real-time navigation further in area map information.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the theory diagram of the preferred embodiment of cloud navigational system according to intelligent updating map of the present invention;
Fig. 2 is the concrete block diagram of car-mounted terminal in the cloud navigational system according to intelligent updating map of the present invention;
Fig. 3 is the concrete block diagram of cloud server in the cloud navigational system according to intelligent updating map of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.
This invention contemplates a kind of cloud navigational system of intelligent updating map, it is based on cloud computing technology, collects, arranges GPS and the OBD real-time traffic information of automobile and calculate in conjunction with cloud service, upgrading map fast, and cook up the optimal path of running car in time.
Referring to Fig. 1, is the theory diagram of the preferred embodiment of the cloud navigational system of intelligent updating map according to the present invention.As shown in Figure 1, the cloud navigational system of the intelligent updating map that this embodiment provides at least comprises cloud server 200 and multiple car-mounted terminal, and such as the first car-mounted terminal 100-1 is to N car-mounted terminal 100-N.
Wherein, car-mounted terminal is used for gathering car speed information by OBD and gathering car location message by GPS, and these vehicle-mounted datas gathered are sent to cloud server 200.The navigation instruction that user inputs also is sent to cloud server 200 by car-mounted terminal.
Cloud server 200 is for receiving car speed information and the car location message of multiple car-mounted terminal, and integrate the area map information of car speed information that multiple car-mounted terminal sends, car location message and storage, extract newly-increased road information and be added in the area map information of storage.In other embodiments of the present invention, cloud server 200 can be analyzed the car location message collected in a period of time and car speed information, judge which road does not occur in area map information, and the road do not occurred during this period of time occurs exceeding preset times, therefore this section of road and vehicle can the mean velocity information on this section of road be added in area map information by cloud server 200.In other embodiments of the present invention, cloud server 200 can be analyzed the car location message collected in a period of time and car speed information, in the cartographic information of judging area, which road is not previously used, and this section of road can be deleted by cloud server 200 in area map information.Cloud server 200 extracts above-mentioned integration and the data genaration path navigation information regularly constantly updated according to the navigation instruction of the user's input received from certain car-mounted terminal.Such as, according to current residing car location message and the car speed information of this car-mounted terminal, and the destination information in the navigation instruction of user's input, from area map information, set up the dummy model of traffic, produce path navigation Information issued to corresponding car-mounted terminal.The cloud computing that cloud server 200 adopts is a kind of computation schema based on internet, mass participation.Faced by cloud computing is magnanimity internet data.Cloud computing service-centric, comprises that namely infrastructure serve, namely platform serves and namely software serve.Cloud computing has extensibility and calculating elastic, is used in dynamic service environment.Such as, the present invention can decide and adjust calculating needed for the cloud computing platform virtual machine of cloud server 200, internal memory and storage resources according to the quantity of existing operation automobile and the OBD data volume collected, and by the path navigation information planned provide in the form of services and terminal client.
The present invention utilizes intrasystem multiple car-mounted terminal to gather car speed information and the car location message of magnanimity, the area map information stored in advance with cloud server compares, the area map information that cloud server stores is upgraded and stored, for each car-mounted terminal navigates.When user propose GPS navigation service request namely input navigation instruction time, the data relevant to navigation instruction are gone out according to the extracting data integrated from these, the such as data of the road in region between automobile real time position and destination, be created as the dummy model of traffic, and then calculate best path navigation information, and transmit best path navigation information to the car-mounted terminal proposing this navigation Service application.
Referring to Fig. 2, is the concrete block diagram of car-mounted terminal in the cloud navigational system of intelligent updating map according to the present invention.As shown in Figure 2, this car-mounted terminal 100 comprises further: Vehicle Controller 110 and the OBD module 120 be attached thereto, GPS module 130, human-computer interaction module 140 and network communication module 150.
Wherein, OBD module 120 is for obtaining car speed information.OBD is a kind of program of automatic diagnosis vehicle failure, for detecting running status during car engine.OBD rose from the eighties in 20th century, and America and Japan Europe starts to install OBD on the automobile of its production.There is three generation products in current OBD.Early stage OBD does not have measuring ability, the OBDII occurred in the mid-90 in 20th century has automatic detection function, OBDIII has and utilizes small size communication system by the function of the operational factor of vehicle and position automatic announcement, but is still in development at present.System in the present invention can preferably adopt present market the most generally to have the OBDII of information automatic announcement function.
GPS module 130 is for obtaining car location message.GPS module 130 obtains automobile present position, i.e. car location message by HA Global Positioning Satellite.GPS is the system utilizing satellite to position in real time in the world, navigate.GPS has the feature of global all weather operations, and its positioning precision is high, and unit positioning precision is better than 10m, and high-precision GPS precision can reach centimetre-sized and grade.The present invention's GPS module 130 used is the vehicle-mounted type GPS for automobile navigation location.
Human-computer interaction module 140 is for receiving the navigation instruction of user's input, and the navigation information that shows paths is to user.Human-computer interaction module 140 is the mutual interface of user and car-mounted terminal, for receiving the navigation instruction of user's input, as travelled destination, routing target etc., receiving the service that cloud server 200 provides simultaneously, the optimal path navigation information of dynamic programming is shown to user.Human-computer interaction module 140 can adopt the multiple input modes such as touch-screen input, phonetic entry, with user-friendly.
Network communication module 150 is the port that the onboard system of automobile is connected with extraneous network, for transmitting above-mentioned vehicle-mounted data to cloud server 200, obtains service from cloud server 200 simultaneously.Network communication module 150 can for the wireless network terminal part such as WIFI, 3G or multiple technologies and the communication apparatus deposited.
Vehicle Controller 110 is flush bonding processors, for controlling the operation coordinating onboard system, as the data transmission between each module is coordinated, optimized human-computer interaction interface etc.Vehicle Controller 110 is for by the car speed gathered by OBD module 120 information and the car location message that gathered by GPS module 130, and by the navigation instruction that the user that human-computer interaction module 140 receives inputs, send to cloud server 200 by network communication module 150.And the path navigation information that Vehicle Controller 110 also receives cloud server 200 issue is shown by human-computer interaction module 140.This flush bonding processor can select the processor of similar ARM company, and it has the energy-conservation feature of low-power consumption, is applicable to moving communicating field.
Referring to Fig. 3, is the concrete block diagram of cloud server in the cloud navigational system of intelligent updating map according to the present invention.As shown in Figure 3, this cloud server 200 comprises further: data acquisition module 210, Data Integration module 220, data analysis module 230 and data publication module 240.
Wherein, data acquisition module 210 is for storing the car speed information that aforementioned multiple car-mounted terminal 100 is gathered by OBD and the car location message gathered by GPS.Area map information is also stored in data acquisition module 210.
Data Integration module 220 is for integrating car speed information, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage.Preferably, in other embodiments of the present invention, Data Integration module 220 can be analyzed the car location message collected in a period of time and car speed information, judge which road does not occur in area map information, and the road do not occurred during this period of time occurs exceeding preset times, this section of road and vehicle can the mean velocity information on this section of road be added in area map information by Data Integration module 220.In other embodiments of the present invention, Data Integration module 220 can be analyzed the car location message collected in a period of time and car speed information, in the cartographic information of judging area, which road is not previously used, and this section of road can be deleted by Data Integration module 220 in area map information.The present invention can the storage organization of optimization data when integrating.Domestic automobile owning amount is very large, and need the vehicle-mounted data storing magnanimity between the system operating period, it is unpractical for being all stored in individual server by these vehicle-mounted datas, so data should be distributed in different servers.The present invention can adopt distributed file system managed storage data, is distributed in cartographic information in different server, for described data analysis module provides the information of the area map needed for path planning for integrating.Distributed file system is applicable to store mass data, huge individual data storehouse can be divided into multiple small and medium databases, thus improves the efficiency of data sampling and processing and analysis.Concrete Data distribution8 mode can multiple factor such as conurbation, the regional planning structure of urban inner and vehicular movement point of density be considered to meet consumers' demand.Multiple server can be established in as large in vehicle flowrate, region, transport hub, otherwise does not establish or establish a server with actual property ground, does not meet consumers' demand with not wasting resource.The distributed storage technology of cloud computing mainly contains the non-HDFS increased income in the Hadoop open source projects of distributed file system GFS and Apache Software Foundation support of Google.The present invention preferably can adopt the HDFS of Hadoop, its have high fault tolerance, feature, can be deployed on cheap hardware and the data access of high-throughput be provided, being applicable to the storage administration of mass data.The region that the present invention may pass through during travelling according to the departure place of vehicle and destination locations information analysis automobile, and learn and need integrate data in which server for data analysis module 230 compute best paths.By the operation of a period of time, system is also by the storage organization of the driving custom optimization data according to customer group.
Data analysis module 230 reads data genaration path navigation information for the navigation instruction inputted according to user from Data Integration module 220.Data analysis module 230 is when compute best paths navigation information, and the automobilism real-time parameter collected according to OBD sets up the real-time road model of road.Such as, set up according to the parameter such as the speed of a motor vehicle, present position of ruuning situation as each car of automobile colony at that time the real-time road model that traffic sets up road.Finally adopt Multipurpose Optimal Method based on these information, in conjunction with road conditions and area map information, according to the actual demand of user, set up Optimized model, extrapolate path navigation information, the GPS navigation service of intelligence is provided.That is, Data Integration module 220 records the information such as the real-time speed of a motor vehicle, present position travelling each automobile on road, data analysis module 230 sets up the dummy model of traffic according to these information: if the automotive average speed of a motor vehicle of certain road is less than certain threshold value, then illustrate that this road traffic blocks; If the automotive average speed of a motor vehicle of certain road is greater than certain threshold value, illustrate that this road traffic is unobstructed.For tallying with the actual situation, model can consider multiple parameter information such as the speed of a motor vehicle, vehicle flowrate to judge road conditions.In conjunction with relevant informations such as road conditions information and area maps, data analysis module 230 can utilize multiple-objection optimization technique computes to go out best path navigation information.Such as, if road conditions information is good, vehicle flowrate is little, it is short to travel distance, preferred this road during selecting paths; Otherwise, if road conditions information gap, vehicle flowrate are large, traveling distance is long, then time choosing during selecting paths.Multiobject selection simultaneously can do dynamic conditioning according to the demand of user, under the prerequisite that road conditions is good, tourism trip can pay the utmost attention to the many roads in sight spot, and long-distance trip can consider the road that distance is short, the website that refuels is many, for user provides the GPS navigation service of intelligence.
Data publication module 240 for the path navigation Information issued that will calculate to corresponding car-mounted terminal 100.
The present invention is also corresponding provides a kind of intelligent GPS paths planning method based on cloud service, comprises the following steps:
First, the car speed information that car-mounted terminal is gathered by OBD and the car location message gathered by GPS, and send to cloud server.The navigation instruction that user inputs also is sent to cloud server by car-mounted terminal.Car-mounted terminal can adopt each Implement of Function Module in earlier figures 2, and therefore car-mounted terminal can be gathered by following steps and send data: Vehicle Controller is by OBD module acquires car speed information and send to cloud server by network communication module; Vehicle Controller gathers car location message by GPS module and sends to cloud server by network communication module; Vehicle Controller receives the navigation instruction of user's input by human-computer interaction module and sends to cloud server by network communication module.
Subsequently, cloud server receives car speed information and the car location message of multiple car-mounted terminal, extract newly-increased road information to be added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal.Wherein, cloud server can adopt each Implement of Function Module in earlier figures 3, therefore cloud server can be gathered by following steps and release news: the car speed information and the car location message that are stored described multiple car-mounted terminal collection by data acquisition module, and storage area cartographic information, distributed file system managed storage data can be adopted; By the module integrated car speed information of Data Integration, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage; The navigation instruction inputted according to described user by data analysis module reads data genaration path navigation information from described Data Integration module; By data publication module by car-mounted terminal extremely corresponding for the path navigation Information issued of generation.Finally, car-mounted terminal can by Vehicle Controller receive cloud server issue path navigation information shown by human-computer interaction module.
In sum, the information that the cloud navigational system implementing intelligent updating map of the present invention can be collected according to car-mounted terminal, the road that intellectual analysis newly increases, and added in map, thus in navigation thereafter, this road is included in planning; Or by not detected by the road of road as construction used, can delete in area map information, and then can real-time navigation be accomplished further.
The present invention is described according to specific embodiment, but it will be understood by those skilled in the art that when not departing from the scope of the invention, can carry out various change and equivalent replacement.In addition, for adapting to specific occasion or the material of the technology of the present invention, can many amendments be carried out to the present invention and not depart from its protection domain.Therefore, the present invention is not limited to specific embodiment disclosed herein, and comprises all embodiments dropping into claims.

Claims (4)

1. a cloud navigational system for intelligent updating map, is characterized in that, comprising: cloud server and multiple car-mounted terminal;
Described car-mounted terminal is used for gathering car speed information by OBD and gathering car location message by GPS, and sends to cloud server; The navigation instruction that user inputs also is sent to cloud server by described car-mounted terminal;
Described cloud server is for receiving car speed information and the car location message of multiple car-mounted terminal, extract newly-increased road information to be added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal; Wherein, decide and adjust calculating needed for the cloud computing platform virtual machine of cloud server, internal memory and storage resources according to the quantity of existing operation automobile and the OBD data volume that collects;
Described cloud server comprises:
Data acquisition module, for storing car speed information and the car location message of described multiple car-mounted terminal collection, and storage area cartographic information;
Data Integration module, for integrating car speed information, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage; Wherein, described Data Integration module is analyzed the car location message collected in a period of time and car speed information, judge which road does not occur in area map information, and the road do not occurred during this period of time occurs exceeding preset times, and then the mean velocity information on this section of road is added in area map information by this section of road and vehicle; In the cartographic information of judging area, which road is not previously used simultaneously, then deleted in area map information by this section of road;
Data analysis module, reads data genaration path navigation information for the navigation instruction inputted according to described user from described Data Integration module; Described data analysis module utilizes multiple-objection optimization technique computes to go out best driving path;
Data publication module, the car-mounted terminal that the path navigation Information issued for generating is extremely corresponding.
2. the cloud navigational system of intelligent updating map according to claim 1, is characterized in that, described car-mounted terminal comprises: Vehicle Controller and the GPS module be attached thereto, OBD module, human-computer interaction module and network communication module;
Described GPS module is for obtaining car location message;
Described OBD module is for obtaining car speed information;
Described human-computer interaction module is for receiving the navigation instruction of user's input, and the navigation information that shows paths is to user;
Described Vehicle Controller is used for the car speed information by described OBD module acquires and the car location message that gathered by described GPS module, and by the navigation instruction that the user that described human-computer interaction module receives inputs, send to described cloud server by described network communication module; And described Vehicle Controller receives the path navigation information of described cloud server issue by described network communication module and shows at described human-computer interaction module.
3. a cloud air navigation aid for intelligent updating map, is characterized in that, comprise the following steps:
The car speed information that car-mounted terminal is gathered by OBD and the car location message gathered by GPS, and send to cloud server; The navigation instruction that user inputs also is sent to cloud server by described car-mounted terminal;
Described cloud server receives car speed information and the car location message of multiple car-mounted terminal, extract newly-increased road information to be added in the area map information of storage, and the area map information generation pass navigation information of the navigation instruction inputted according to described user and storage is distributed to corresponding car-mounted terminal; Wherein, decide and adjust calculating needed for the cloud computing platform virtual machine of cloud server, internal memory and storage resources according to the quantity of existing operation automobile and the OBD data volume that collects;
Described cloud server is gathered by following steps and releases news:
Car speed information and the car location message of described multiple car-mounted terminal collection is stored by data acquisition module, and storage area cartographic information;
By Data Integration module integrated required car speed information, car location message and area map information, and the road information that extraction increases newly is added in the area map information of storage; Wherein, described Data Integration module is analyzed the car location message collected in a period of time and car speed information, judge which road does not occur in area map information, and the road do not occurred during this period of time occurs exceeding preset times, and then the mean velocity information on this section of road is added in area map information by this section of road and vehicle; In the cartographic information of judging area, which road is not previously used simultaneously, then deleted in area map information by this section of road;
The navigation instruction inputted according to described user by data analysis module reads data genaration path navigation information from described Data Integration module; Described data analysis module utilizes multiple-objection optimization technique computes to go out best driving path;
By data publication module by car-mounted terminal extremely corresponding for the path navigation Information issued of generation.
4. the cloud air navigation aid of intelligent updating map according to claim 3, is characterized in that, car-mounted terminal is by following steps collection and interaction data:
Vehicle Controller is by OBD module acquires car speed information and send to described cloud server by network communication module;
Vehicle Controller gathers car location message by GPS module and sends to described cloud server by network communication module;
Vehicle Controller receives the navigation instruction of user's input by human-computer interaction module and sends to described cloud server by network communication module;
Vehicle Controller receives the path navigation information of cloud server issue by described network communication module and shows at described human-computer interaction module.
CN201210169148.9A 2012-05-28 2012-05-28 The cloud navigational system of intelligent updating map and method Expired - Fee Related CN103453914B (en)

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CN110708315A (en) * 2019-10-09 2020-01-17 杭州安恒信息技术股份有限公司 Asset vulnerability identification method, device and system
CN113701779B (en) * 2021-09-08 2023-11-14 四川汉星航通科技有限公司 Road intelligent navigation system and navigation method based on big data

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1785723A (en) * 2005-09-09 2006-06-14 中国科学院自动化研究所 Vehicle imbedding type system
CN101236695A (en) * 2008-03-05 2008-08-06 中科院嘉兴中心微系统所分中心 Driver status estimation system based on vehicle mounted sensor network
CN201681298U (en) * 2010-05-25 2010-12-22 金龙联合汽车工业(苏州)有限公司 On-board remote data acquisition system based on CAN bus
CN102385804A (en) * 2010-08-30 2012-03-21 谈宇清 Intelligent traffic system and navigation method thereof

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2671116C (en) * 2006-12-01 2021-01-26 Intelligent Mechatronic Systems Inc. Vehicle communication device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1785723A (en) * 2005-09-09 2006-06-14 中国科学院自动化研究所 Vehicle imbedding type system
CN101236695A (en) * 2008-03-05 2008-08-06 中科院嘉兴中心微系统所分中心 Driver status estimation system based on vehicle mounted sensor network
CN201681298U (en) * 2010-05-25 2010-12-22 金龙联合汽车工业(苏州)有限公司 On-board remote data acquisition system based on CAN bus
CN102385804A (en) * 2010-08-30 2012-03-21 谈宇清 Intelligent traffic system and navigation method thereof

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