CN110798515A - VCU with anticipatory driving function - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention discloses a VCU with a predictive driving function, which comprises a cloud end, a vehicle data terminal and a base station, wherein the cloud end is in communication connection with the base station, and the base station is in communication connection with the vehicle data terminal. The cloud end comprises a data acquisition module, a data analysis module, a data storage module and a data result sending module, and the vehicle data terminal comprises a vehicle owner user request module, a data receiving module, a data decryption conversion module, a VCU processing data processing module and a display reminding module. The data analysis module is used for analyzing the road information and sending an analysis result to the base station through the data result sending module; the data receiving module of the vehicle data terminal is used for receiving the analysis result through the base station. Therefore, the VCU with the predictive driving function improves the fuel economy and the transportation efficiency and improves the safety.
Description
Technical Field
The invention relates to the technical field of VCUs with driving functions, in particular to a VCU with a predictive driving function.
Background
The traditional vehicle controls the vehicle speed through the experience of drivers, the economic level of the vehicle driven by each driver is uneven due to different driving experiences of each driver, and the driving behavior cannot adapt to the change of road conditions due to the lack of predictability of the drivers for the driving environment in front of the vehicle, so that the driving behavior such as rapid acceleration or rapid deceleration is increased, the fuel economy is deteriorated, and on the other hand, the vehicle runs at a high speed on a road section with a certain curvature and is a dangerous behavior, and traffic accidents are easily caused.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a VCU with a predictive driving function, which realizes the improvement of fuel economy and transportation efficiency and improves the safety.
In order to achieve the above object, the present invention provides a VCU with a predictive driving function, which includes a cloud, a vehicle data terminal and a base station, wherein the cloud is in communication connection with the base station, and the base station is in communication connection with the vehicle data terminal. The cloud end comprises a data acquisition module, a data analysis module, a data storage module and a data result sending module, and the vehicle data terminal comprises a vehicle owner user request module, a data receiving module, a data decryption conversion module, a VCU processing data processing module and a display reminding module. The data analysis module is used for analyzing the road information and sending an analysis result to the base station through the data result sending module; the data receiving module of the vehicle data terminal is used for receiving the analysis result through the base station, the data receiving module sends the analysis result to the data decryption conversion module, the data decryption conversion module is used for decrypting the analysis result, and the decrypted data is converted into the whole vehicle communication data through the VCU processing data processing module.
In an embodiment of the invention, the cloud, the vehicle data terminal and the base station are all in safe transmission through HTTPS, the cloud is a cloud platform, and the vehicle data terminal is a vehicle control unit VCU.
In one embodiment of the invention, the vehicle data terminal is electrically connected to the vehicle-mounted motor and the reduction gearbox through wires.
In an embodiment of the present invention, the road information collected by the data collection module includes: road surface condition, slope k, camber r, speed limit condition, fork marking point and traffic lights marking point, and the road surface condition includes: asphalt pavement, concrete pavement, gravel pavement and pavement.
In one embodiment of the invention, the data analysis module includes obtaining an optimal route to improve economics analysis; providing the analysis of the control scheme of the uphill and downhill running speed of the whole vehicle; the traffic light scheme is controlled, so that the parking times are reduced, and the economic analysis is improved; according to the environmental conditions, the optimal driving speed and the optimal distance are provided, the driving safety analysis is improved, the optimal speed of the over-bending is calculated according to the external conditions, the vehicle is prevented from turning over, and the driving safety analysis is improved.
In an embodiment of the invention, the VCU processing data processing module is electrically connected to the entertainment host, the combination meter, the HUD and the central control screen, and the display reminding module controls the buzzer to sound, the seat to vibrate and the like.
Compared with the prior art, the VCU with the predictive driving function improves the fuel economy and the transportation efficiency and improves the safety.
Drawings
Fig. 1 is a block diagram of a VCU with predictive driving capability according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a VCU with predictive driving function according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of calculation of hill climbing of a VCU having a predictive driving function according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a display reminding module of a VCU having a predictive driving function according to an embodiment of the present invention.
Description of the main reference numerals:
the system comprises a cloud terminal 1, a vehicle data terminal 2, a base station 3, a data acquisition module 4, a data analysis module 5, a data storage module 6, a data result sending module 7, a vehicle owner user request module 8, a data receiving module 9, a data decryption conversion module 10, a data processing module processed by a VCU 11 and a display reminding module 12.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
As shown in fig. 1 to 4, fig. 1 is a schematic block diagram of a VCU with a predictive driving function according to an embodiment of the present invention; FIG. 2 is a schematic diagram of a schematic configuration of a VCU with predictive driving capability according to an embodiment of the present invention; FIG. 3 is a schematic diagram of a calculation of hill climbing for a VCU with predictive driving capability according to an embodiment of the present invention; fig. 4 is a schematic structural diagram of a display reminding module of a VCU having a predictive driving function according to an embodiment of the present invention.
According to a preferred embodiment of the invention, the VCU with the predictive driving function comprises a cloud end 1, a vehicle data terminal 2 and a base station 3, wherein the cloud end 1 is in communication connection with the base station 3, the base station 3 is in communication connection with the vehicle data terminal 2, the cloud end 1 comprises a data acquisition module 4, a data analysis module 5, a data storage module 6 and a data result sending module 7, and the vehicle data terminal 2 comprises a vehicle owner user request module 8, a data receiving module 9, a data decryption and conversion module 10, a VCU processing data processing module 11 and a display reminding module 12. The data acquisition module 4 is used for acquiring road information and storing the road information into the data storage module 6, and the data analysis module 5 is used for analyzing the road information and sending an analysis result to the base station 3 through the data result sending module 7; the data receiving module 9 of the vehicle data terminal 2 is used for receiving the analysis result through the base station 3, the data receiving module 9 sends the analysis result to the data decryption and conversion module 10, the data decryption and conversion module 10 is used for decrypting the analysis result, and the decrypted analysis result is converted into the vehicle communication data through the VCU processing data processing module 11.
In one embodiment of the invention, a cloud end, a vehicle data terminal and a base station are all safely transmitted through HTTPS, the cloud end is a cloud platform, and the vehicle data terminal is a VCU (vehicle control unit); the vehicle data terminal is electrically connected to the vehicle-mounted motor and the reduction gearbox through wires.
In an embodiment of the present invention, the road information collected by the data collection module includes: road surface condition, slope k, camber r, speed limit condition, fork marking point and traffic lights marking point, and the road surface condition includes: asphalt pavement, concrete pavement, gravel pavement and soil pavement; VCU handles data processing module electric connection at entertainment host computer, combination meter, HUD and well accuse screen, shows that the module of reminding includes modes such as control buzzer buzzing, seat vibration.
In one embodiment of the invention, the data analysis module includes obtaining an optimal route to improve economics analysis; providing the analysis of the control scheme of the uphill and downhill running speed of the whole vehicle; the traffic light scheme is controlled, so that the parking times are reduced, and the economic analysis is improved; according to the environmental conditions, the optimal driving speed and the optimal distance are provided, the driving safety analysis is improved, the optimal speed of the over-bending is calculated according to the external conditions, the vehicle is prevented from turning over, and the driving safety analysis is improved.
In practical application, the working flow of the VCU with predictive driving function of the present invention is as follows:
1. the method comprises the steps of establishing a database, wherein a data acquisition module 4 in a cloud 1 acquires road information with the data unit of 1M, and the acquired road information comprises ① road conditions which are mainly divided into the following categories of asphalt road surfaces, soil-mixed road surfaces, gravel road surfaces and road surfaces, ② gradient k, ③ camber r, ④ speed limit conditions, ⑤ turnout identification points and ⑥ traffic light identification points, at the moment, 500 data points in front of and behind the traffic light and the turnout identification points need to be marked during acquisition, the position of the turnout can be correctly led out in advance, speed route planning is made in advance, a road information database is established after data acquisition is completed, the road information database is stored in a data storage module 6, a traffic light database is established by the data acquisition module, and the traffic light database is recorded, wherein the change of the traffic light along with time.
2. And (3) data analysis:
(1) obtaining the best route to improve the economy: when a destination requirement is transferred to a cloud end 1 by a vehicle owner user request module 8 through a base station 3, after the cloud end 1 receives the user destination requirement, a road information unit stored in a data storage module 6 is called, a shortest path and a shortest time-consuming route scheme are calculated by analyzing and combining according to a data analysis module 5, and meanwhile, when a data unit corresponds to a three-dimensional coordinate value one by one and a current point data value needs to be requested, the shortest distance D is calculated by two data point three-dimensional coordinate points by only providing the three-dimensional coordinate value of the current data point as an index and calculating the connectivity of the data point and the data point:
when D is 1, two data points are connected; (ii) a
Starting from an initial position, performing data point connection calculation, finally obtaining all routes leading to a destination, planning the data points by taking the minimum condition as the shortest route, obtaining all route planning results through the front, calculating the route with the shortest time consumption, calling the speed limit condition of each data point, calculating the time of the data point when the safe driving condition is reached, calling the speed limit value A of a road information unit stored in a data storage module 6 in the first step, and adding the time T of all data points of each route when the passing time is T1/A, adding a traffic light identification point traffic light conversion period N when the traffic light identification point is met, finally obtaining the theoretical passing time value required by all routes, and recommending the shortest route; calculating economic parameters of each data point by combining the economic speed curve of the whole vehicle, and integrating and calculating an optimal economic route;
(2) the method provides a scheme for controlling the speed of the whole vehicle running on the uphill slope and the downhill slope to improve the economy of the vehicle:
after an economical driving route is obtained through the method (1), an uphill road section and a downhill road section in the route are obtained, an economical driving scheme 1 is given, the slope of each data point is drawn in a plane coordinate through a statistical method, when the slope is larger than zero, the uphill driving is carried out, the slope is equal to zero, the flat road driving is carried out, and when the slope is smaller than zero, the downhill driving is carried out; establishing an automobile motion mechanics analysis model N ═ G × cos (theta); f ═ Fw + gxsin (θ); where θ is positive represents climbing, θ is 0 represents flat road, and θ is negative represents downhill, as shown in fig. 3.
F drive ═ Fa + Ff + Fw + gxsin (θ);
f, flooding: the driving force transmitted to the wheel edge by the power system through the transmission system is equal to the static friction force of the wheel edge;
fa: m is multiplied by a, and a represents the acceleration of the whole vehicle;
f resistance: the friction resistance is small, and can be ignored in model calculation;
fw: 1/16 × A × Cw × v2, wind resistance;
combining the whole vehicle economic curve and the whole vehicle dynamic characteristic curve to calculate the optimal ramp driving speed, judging whether the speed is legal or not according to the parameter speed limit condition of the data point, and then comprehensively comparing to obtain the optimal ramp driving speed;
(3) the control reduces the number of times of stopping through the traffic light scheme, improves economic nature:
according to the action of the data point traffic light identification point, traffic light information prompt is given at five hundred data points, the optimal driving speed is calculated according to the speed, the traffic light alternation period and the speed limit condition, the condition of sudden acceleration and sudden deceleration in midway is avoided, the economy of the whole vehicle is improved, the time T1 when the green light appears for the first time is obtained according to a time axis, then the time T1+ N (period) when the green light appears for the second time is T1+ N, the speed of each time is calculated according to the distance S between the vehicle and the traffic light by using the formula of V to S/T, and when the V is less than or equal to the V limit, the result is the optimal driving speed;
(4) according to the environmental conditions, the optimal driving speed and the optimal driving distance are provided, and the driving safety is improved:
according to the law of conservation of energy: 1/2mv02-1/2mv12 ═ Ff × S + Fw × S + G × sin (θ) × S; calculating the decreasing condition of different speeds at the data point, and when the speed is decreased from V0 to 0, the vehicle is completely stopped; in order to ensure that the vehicle does not slip and is safe, namely Ff can only be smaller than the maximum static friction force, according to the condition that Ff is equal to mu mg multiplied by cos (theta), the safe braking force can be calculated, the speed of the vehicle at a certain point is fed back in real time, the attenuation condition of the data speed at a certain point is calculated, and conversely, in the driving process, different speeds can calculate a safe braking distance, and a braking distance-speed curve is obtained; real-time environment conditions are fed back on different data points, and the road surface conditions can accurately give safe driving distance and safe driving speed;
(5) according to external conditions, the optimal speed of the over-bending is calculated, the vehicle is prevented from turning over, and the driving safety is improved:
extracting turning radius of a data point according to the data point collected in a database, obtaining an effective friction coefficient according to weather conditions and road surface conditions, obtaining the magnitude relation of centripetal forces of different vehicle speeds or different curves according to a formula F which is M multiplied by V2/R, and solving the maximum sideslip-preventing safe over-bent driving speed by using a mechanics equation if the centripetal force is smaller than the lateral static friction force in order to prevent the automobile from sideslip; acquiring the mass center and the wheel track of the whole vehicle, analyzing according to the torque balance state, and breaking the balance when the tire close to the circle center of a turn leaves the critical state of the ground, so that the vehicle starts to turn on one side; therefore, when the F-direction multiplied by h mass is less than or equal to 1/2 multiplied by G multiplied by d wheels, the vehicle keeps safe running, and the safe over-bending speed is calculated at the moment;
3. and (3) data result sending: through the data storage module 6 and the data analysis module 5 in the background cloud 1, an optimized planned route, an economic driving speed control scheme and a safe driving speed control scheme are further obtained, data are transmitted to the base station 3 through the internet through the data result sending module 7 and are sent to the data receiving module 9 in the vehicle data terminal 2 through the base station 3, the data received by the data receiving module 9 are transferred to the data decryption and conversion module 10 to be decrypted, the decrypted data are converted into finished vehicle communication data through the VCU processing data processing module 11 and are finally sent to an entertainment host, a combination meter, a HUD and a central control screen on a vehicle product to prompt a driver to drive safely, as shown in FIG. 4;
4. receiving commands and controlling the vehicle: the vehicle data terminal 2 receives the data of the background cloud 1 and then collects information of vehicle running for comparison, when the vehicle speed is about to pass a curve, the vehicle speed is found to be too high, the display reminding module 12 in the vehicle data terminal 2 gives an instruction to control the buzzer, and the seat vibrates and the like to remind a driver of paying attention to safe driving.
In a word, the VCU with the predictive driving function of the invention continuously collects real-time operation information (including position, road section type, driver, vehicle type, load, real-time oil consumption, speed, gear and the like) of all connected freight vehicle terminals by designing and utilizing the cloud, sufficiently learns and refines the driving experience of an excellent driver by collecting and mining big data so as to realize the optimal fuel economy and transportation efficiency of the vehicle, and improve the safety as a target, and generates and continuously optimizes a driving control strategy of the vehicle under a specific operation condition; controlling the target vehicle according to the optimal gear and the vehicle speed; and the driver is reminded to predict dangerous working conditions (such as sharp turns, large downhill slopes and the like), so that the fuel economy and the transportation efficiency are improved, and the safety is improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (6)
1. A VCU with a predictive driving function comprises a cloud end, a vehicle data terminal and a base station, wherein the cloud end is in communication connection with the base station, and the base station is in communication connection with the vehicle data terminal;
the data acquisition module is used for acquiring road information and storing the road information into the data storage module, and the data analysis module is used for analyzing the road information and sending an analysis result to the base station through the data result sending module;
the data receiving module of the vehicle data terminal is used for receiving the analysis result through the base station, the data receiving module sends the analysis result to the data decryption and conversion module, the data decryption and conversion module is used for decrypting the analysis result, and the decrypted analysis result is converted into the vehicle communication data through the VCU processing data processing module.
2. The VCU with predictive driving capability of claim 1, wherein said cloud, said vehicle data terminal and said base station are all securely transmitted via HTTPS, said cloud is a cloud platform, and said vehicle data terminal is a VCU of a vehicle control unit.
3. The VCU with anticipatory driving capability of claim 1, wherein the vehicle data terminal is electrically connected to the on-board motor and the reduction gearbox via wires.
4. The VCU with predictive driving capability of claim 1, wherein the road information collected by the data collection module includes: road surface condition, slope k, camber r, speed limit condition, fork marking point and traffic lights marking point, just the road surface condition includes: asphalt pavement, concrete pavement, gravel pavement and pavement.
5. The predictive driving capable VCU of claim 1, wherein the data analysis module includes an obtain best route improvement economy analysis; providing the analysis of the control scheme of the uphill and downhill running speed of the whole vehicle; the traffic light scheme is controlled, so that the parking times are reduced, and the economic analysis is improved; according to the environmental conditions, the optimal driving speed and the optimal distance are provided, the driving safety analysis is improved, the optimal speed of the over-bending is calculated according to the external conditions, the vehicle is prevented from turning over, and the driving safety analysis is improved.
6. The VCU with anticipatory driving function of claim 1, wherein the VCU processing data processing module is electrically connected with the entertainment host, the combination meter, the HUD and the central control screen, and the display reminding module comprises modes of controlling buzzer, seat vibration and the like.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115083099A (en) * | 2022-06-15 | 2022-09-20 | 钟园军 | Fire-fighting intelligent dredging indicating system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1652128A2 (en) * | 2003-07-07 | 2006-05-03 | Sensomatix Ltd. | Traffic information system |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN105865472A (en) * | 2016-04-06 | 2016-08-17 | 重庆邮电大学 | Vehicle-mounted navigation method based on least oil consumption |
| CN106408979A (en) * | 2016-09-14 | 2017-02-15 | 浙江吉利控股集团有限公司 | Vehicle-mounted interconnected smart speed prompting system and method |
| CN107331179A (en) * | 2017-05-27 | 2017-11-07 | 东风商用车有限公司 | A kind of economy drive assist system and implementation method based on big data cloud platform |
| US20180330616A1 (en) * | 2013-03-29 | 2018-11-15 | Modular Mining Systems, Inc. | Contention avoidance |
| CN108860165A (en) * | 2018-05-11 | 2018-11-23 | 深圳市图灵奇点智能科技有限公司 | Vehicle assistant drive method and system |
| CN109686118A (en) * | 2019-01-24 | 2019-04-26 | 嘉兴行适安车联网信息科技有限公司 | A kind of economic control loop and its drive manner based on the collaboration of people's bus or train route |
| CN109887286A (en) * | 2019-03-22 | 2019-06-14 | 吉林大学 | A kind of truck driving directions system and its guidance method based on cloud platform |
-
2019
- 2019-10-18 CN CN201911000805.5A patent/CN110798515A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1652128A2 (en) * | 2003-07-07 | 2006-05-03 | Sensomatix Ltd. | Traffic information system |
| US20180330616A1 (en) * | 2013-03-29 | 2018-11-15 | Modular Mining Systems, Inc. | Contention avoidance |
| CN105865472A (en) * | 2016-04-06 | 2016-08-17 | 重庆邮电大学 | Vehicle-mounted navigation method based on least oil consumption |
| CN105741595A (en) * | 2016-04-27 | 2016-07-06 | 常州加美科技有限公司 | Unmanned vehicle navigation driving method based on cloud database |
| CN106408979A (en) * | 2016-09-14 | 2017-02-15 | 浙江吉利控股集团有限公司 | Vehicle-mounted interconnected smart speed prompting system and method |
| CN107331179A (en) * | 2017-05-27 | 2017-11-07 | 东风商用车有限公司 | A kind of economy drive assist system and implementation method based on big data cloud platform |
| CN108860165A (en) * | 2018-05-11 | 2018-11-23 | 深圳市图灵奇点智能科技有限公司 | Vehicle assistant drive method and system |
| CN109686118A (en) * | 2019-01-24 | 2019-04-26 | 嘉兴行适安车联网信息科技有限公司 | A kind of economic control loop and its drive manner based on the collaboration of people's bus or train route |
| CN109887286A (en) * | 2019-03-22 | 2019-06-14 | 吉林大学 | A kind of truck driving directions system and its guidance method based on cloud platform |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115083099A (en) * | 2022-06-15 | 2022-09-20 | 钟园军 | Fire-fighting intelligent dredging indicating system |
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Application publication date: 20200214 |