CN206133935U - Intelligent transportation robot - Google Patents
Intelligent transportation robot Download PDFInfo
- Publication number
- CN206133935U CN206133935U CN201621059123.3U CN201621059123U CN206133935U CN 206133935 U CN206133935 U CN 206133935U CN 201621059123 U CN201621059123 U CN 201621059123U CN 206133935 U CN206133935 U CN 206133935U
- Authority
- CN
- China
- Prior art keywords
- traffic
- module
- robot
- intelligent
- model
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Traffic Control Systems (AREA)
Abstract
The utility model discloses an intelligent transportation robot, it includes that traffic monitoring module, traffic decision -making module, robotics practise module and the robot, the traffic monitoring module traffic decision -making module robotics practise module setting in the robot is last, the traffic monitoring module with robotics practise the module respectively with the traffic decision -making module be connected, wherein, the traffic monitoring module further includes camera device, infrared detector, detection radar and image analysis module, camera device infrared detector the detection radar respectively with the image analysis module is connected. The utility model discloses an intelligent transportation robot fungible traffic police carries out on -the -spot tasks on duty such as traffic guidance.
Description
Technical field
This utility model belongs to robot field, more particularly to a kind of intelligent traffic robot.
Background technology
At present, urban transportation commander relies primarily on traffic light and traffic-police.In view of domestic practical situation, for one
A little critical junctions (such as school doorway) and the uncertain crossing of flow, it is often inadequate to command to fully rely on traffic light
, it is necessary to there is traffic-police to come to commander personally；For some traffic light cannot normally use (such as original such as failure or construction
Cause) or be not provided with crossing of traffic light etc., being required to traffic-police's floor manager.With the fast development of China's economy,
Each department especially city, car owning amount is dramatically increased, and traffic and government pressure are increasing.Refer to by traffic-police scene
Wave with shortcomings：Cost of labor is higher；Work under bad environment, the high temperature in summer and the severe cold in winter, especially automobile row
The tail gas for going out, to the healthy unfavorable of traffic-police.
The content of the invention
This utility model provides a kind of alternative traffic police and carries out the intelligent transportation machine of the live task on duty such as point duty
People.
To solve the above problems, this utility model provides a kind of intelligent traffic robot, and it includes traffic monitoring module, hands over
Logical decision-making module, robot learning module and robot body, it is the traffic monitoring module, the communications policy module, described
Robot learning module is arranged on the robot body, and the traffic monitoring module and the robot learning module are distinguished
Be connected with the communications policy module, wherein, the traffic monitoring module further include camera head, infrared detecting set,
Detection radar and image analysis module, the camera head, the infrared detecting set, the detection radar respectively with the figure
As analysis module is connected.
On the basis of such scheme, the formation of the epimorph personification of the robot body, including head, trunk
And extremity, the upper limb of the robot imitates completely human joint and built, shoulder joint, elbow joint, wrist and finger
Motion is driven by motor.
On the basis of such scheme, the camera head is arranged at the head of the robot body, and for before and after
Left and right four direction shoots.
On the basis of such scheme, the four direction all around of the robot body is both provided with traffic signal
Lamp.
On the basis of such scheme, sounding module is provided with the robot body.
On the basis of such scheme, the intelligent traffic robot also includes being arranged at leading on the robot body
Letter module.
On the basis of such scheme, the intelligent traffic robot also includes being arranged at determining on the robot body
Position module.
Using intelligent traffic robot of the present utility model, can substitute traffic police using robot carries out commanding on duty, keeps away
The impact of vile weather and environment to traffic police's body is exempted from, the science and technology theory that people-oriented has been realized, in addition, of the present utility model
Intelligent traffic robot can grasp various point duty abilities by deep learning and evolution, can tackle the friendship of various complexity
Logical situation, furthermore, intelligent traffic robot of the present utility model can also be sent to the scene of a traffic accident, to the scene of a traffic accident
Divisions of responsibility identification is shot and carried out, is quickly relieved traffic congestion.
Description of the drawings
Fig. 1 is the structural representation of the embodiment of this utility model intelligent traffic robot one；
Fig. 2 is the structural representation of the traffic monitoring module in Fig. 1.
Specific embodiment
In order that the purpose of this utility model, technical scheme and beneficial effect become more apparent, below in conjunction with accompanying drawing and
Embodiment, is further elaborated to this utility model.It should be appreciated that specific embodiment described herein only to
This utility model is explained, is not used to limit this utility model.
Fig. 1 is referred to, Fig. 1 is the structural representation of an embodiment of intelligent traffic robot of the present utility model.This reality
In applying example, the intelligent traffic robot includes robot body 10, traffic monitoring module 11, communications policy module 12, machine
People's study module 13, communication module 14 and locating module 15.The traffic monitoring module 11, the communications policy module 12, institute
State robot learning module 13, communication module 14 and locating module 15 to be arranged on the robot body 10, the traffic prison
Control module 11 and the robot learning module 13 are connected respectively with the communications policy module 12,
The traffic monitoring module 11, for the traffic of monitor in real time traffic intersection, obtains transport information parameter.Institute
Stating transport information parameter includes, the transport information parameter includes pedestrian's quantity and distribution situation, direction of travel of traffic intersection
And the vehicle fleet size of the speed of travel, traffic intersection, distribution situation, travel speed and travel direction, the color of traffic light and
The situation that vehicle and pedestrian pass through zebra crossing when duration and traffic lights.Wherein, the traffic intersection can be four crossway
Mouthful, or T-shaped road junction or the crossing more than four direction etc., it is not limited herein.
Fig. 2 is referred to, further, the traffic monitoring module 11 includes camera head 111, infrared detecting set 112, visits
Survey radar 113 and image analysis module 114.The camera head 111, infrared detecting set 112, detection radar 113 respectively with
Described image analysis module 114 is connected.The camera head 111 may be installed all around the four of the robot body 10
Individual direction, for carrying out captured in real-time to the traffic scene at all directions and crossing.The infrared detecting set 112 may be installed described
On robot body 10, for being monitored to pedestrian's quantity and distribution situation, direction of travel and the speed of travel of traffic intersection,
And generate infrared monitoring and control image.The detection radar 113 may be installed on the robot body 10, for traffic intersection
Vehicle fleet size, distribution situation, travel speed and travel direction are monitored, and generate radar monitoring image.Described image is analyzed
Module 114 be used for the camera head 111 is photographed traffic scene, the infrared detecting set 112 generate monitoring image with
And the infrared of radar monitoring image that the detection radar 113 is generated carries out range image analysis, therefrom obtains traffic intersection
Pedestrian's quantity and distribution situation, direction of travel and the speed of travel, the vehicle fleet size of traffic intersection, distribution situation, travel speed and
The transport information parameter such as travel direction.Further, the traffic monitoring module 11 also by the communication module 14 be located at
The traffic light of the traffic are connected with the ground induction coil for being embedded in zebra crossing, to obtain the color of traffic light
And the situation that vehicle and pedestrian pass through zebra crossing when duration and traffic lights, so as to provide more decision-makings for point duty
Parameter.
It should be noted that the traffic monitoring module 11 can be with according to the traffic monitoring image and transport information ginseng
It is several that vehicles peccancy and personnel are identified, and retain video evidence.
The communications policy module 12, obtains the transport information parameter that the traffic monitoring module is provided, and is determined according to traffic
Plan model sends point duty instruction.Further, the communications policy module 12 can be with according to the traffic monitoring module
The 11 traffic monitoring images for providing are analyzed to car accident scene, judge traffic accident responsibility.
It should be noted that the communications policy model is both including the decision model of point duty, also including vehicle accident
The decision model that responsibility judges.Different communications policy models can be set according to different road conditions, such as, can be ten
Word crossing and T-shaped road junction are respectively provided with special communications policy model, it is also possible to arrange different traffic according to requirement on duty
Decision model, is that the traffic light for tackling crossroad damage the situation for needing traffic police's floor manager for example, can arrange one
Individual communications policy model, but it is working properly due to being that busy crossing needs traffic police to aid in situation on duty in traffic light
Under, it is also possible to a communications policy model is set.In different communications policy models, corresponding decision making process is different
, such as, if being merely to damage the situation for needing traffic police's floor manager to tackle the traffic light of crossroad, only
Needs are arranged at the traffic light with robot according to transport information state modulator.And aiding in situation on duty
Under, during green light, need the artificial abortion of the wagon flow to turning and straight trip to be estimated and controlled, need using commander's row such as gesture whistle
For directing traffic.In addition, when vehicle accident is judged, needing orientation, the damaged condition of the vehicle according to the scene of a traffic accident
Judged and the state (whether drunk driving) of driver is carried out comprehensive descision.
The robot learning module 13, according to point duty sample to the transport information parameter in communications policy model and
Point duty instruction is learnt and is corrected, or adaptive sets up new communications policy model.
It should be noted that the point duty sample comes from actual traffic police on duty data, one can be designed and included
The intelligent transportation police of the traffic monitoring module 11 of the present utility model and various limb motion sensors and sound transducer
Clothes, after putting on the intelligent transportation police uniform, the transport information parameter and point duty behavior when traffic police carries out point duty all can
By complete record and identification.The early stage that can be come into operation in intelligent traffic robot of the present utility model, in traffic police on duty
When put on the intelligent transportation police uniform and carry out on duty, record substantial amounts of transport information parameter and commander's behavior, form traffic and refer to
Wave information big data.Using the method for big data, depth data excavation and modeling are carried out, set up communications policy model.With biography
The progress of sense technology and image processing techniquess, can introduce more discernible transport information parameters and commander's behavior.With
More transport information parameters and be introduced into introducing with more point duty samples, the robot learning module 13 can be with
Transport information parameter in the communications policy model and point duty instruction are learnt and corrected, or adaptive is built
Vertical new communications policy model.
Corresponding friendship is made in the robot body 10, the point duty instruction for being sent according to communications policy module 12
Logical commander's behavior.
It should be noted that the point duty behavior includes point duty gesture, point duty whistle and password, signal
The color of lamp and flicker.The anthropomorphic formation of the epimorph of the intelligent traffic robot, including head, trunk and extremity,
The upper limb of the robot imitates completely human joint and is built, and the motion of shoulder joint, elbow joint, wrist and finger is all
Driven by motor.For ease of the conveniently moving of the robot body 10, can arrange in its sole and be driven by motor
Wheel.The four direction all around of the intelligent traffic robot is both provided with traffic light.The intelligent transportation machine
Sounding module is additionally provided with human body, the sounding module is used to send whistle or sound password to refer to traffic
Wave.The camera head 111 may be installed the four direction all around of the intelligent traffic robot head, for each side
To and the traffic scene at crossing carry out captured in real-time.
The communication module 14, for being networked to traffic control center.The intelligent traffic robot is by the communication
Module 14 is connected to traffic control center, the point duty sample required for such that it is able to get the robot learning module
Data.Further, the communication module 14 is additionally operable to set up the traffic monitoring module 11 and is located at the traffic
The data channel that traffic light are connected with the ground induction coil for being embedded in zebra crossing.
The locating module 15, is arranged on the robot body 10, for positioning the position of the robot body 10
Put, and traffic control center to is sent its position by the communication module 14.
In an application scenarios of the intelligent traffic robot of this utility model embodiment, the intelligent traffic robot
After deep learning, it is sent to that traffic is on duty, it can be by the monitor in real time traffic intersection of the traffic monitoring module 11
Traffic obtain transport information parameter, and point duty is obtained according to the built-in decision model of the communications policy module 12
Instruction, and make corresponding point duty behavior.Further, the transport information ginseng that the intelligent traffic robot is obtained
Number and the point duty instruction made are sent to positioned at traffic control center, so as to increasing traffic robot's training and learning
Sample.
In another application scenarios of the intelligent traffic robot of this utility model embodiment, when traffic control center connects
Send after the warning of vehicle accident to a certain road, can send from the nearest idle intelligent traffic robot in the scene of the accident
Go to and processed, the intelligent robot obtains the information of the scene of the accident by the traffic monitoring module 11, and passes through
The communications policy module 12 rapidly judges accident responsibility, vehicle accident can be caused rapidly to be processed, it is to avoid car
Main cause accident responsibility assert it is unclear and be unwilling to traffic jam caused by mobile vehicle position, effectively dredged traffic.
In sum, using intelligent traffic robot of the present utility model, traffic police can be substituted using robot and is referred to
Wave on duty, it is to avoid the impact of vile weather and environment to traffic police's body, realize the science and technology theory that people-oriented, in addition, this
The intelligent traffic robot of utility model can grasp various point duty abilities by deep learning and evolution, can tackle each
Complicated traffic is planted, furthermore, intelligent traffic robot of the present utility model can also be sent to the scene of a traffic accident, to handing over
The logical scene of the accident is shot and is carried out divisions of responsibility identification, is quickly relieved traffic congestion.
Preferred embodiment of the present utility model is the foregoing is only, it is all at this not to limit this utility model
Any modification, equivalent and improvement made within the spirit and principle of utility model etc., should be included in this utility model
Protection domain within.
Claims (7)
1. a kind of intelligent traffic robot, it is characterised in that including traffic monitoring module, communications policy module, robot learning
Module and robot body, the traffic monitoring module, the communications policy module, the robot learning module are arranged at institute
State on robot body, the traffic monitoring module and the robot learning module are connected respectively with the communications policy module
Connect, wherein, the traffic monitoring module further includes camera head, infrared detecting set, detection radar and graphical analyses mould
Block, the camera head, the infrared detecting set, the detection radar are connected respectively with described image analysis module.
2. intelligent traffic robot according to claim 1, it is characterised in that the epimorph of the robot body is anthropomorphic
Formation, including head, trunk and extremity, the upper limb of the robot imitates completely human joint and built, shoulder joint
The motion of section, elbow joint, wrist and finger is driven by motor.
3. intelligent traffic robot according to claim 2, it is characterised in that the camera head is arranged at the machine
The head of human body, and shoot for four direction all around.
4. intelligent traffic robot according to claim 1, it is characterised in that all around the four of the robot body
Individual direction is both provided with traffic light.
5. intelligent traffic robot according to claim 1, it is characterised in that be provided with sounding on the robot body
Module.
6. intelligent traffic robot according to claim 1, it is characterised in that also including being arranged at the robot body
On communication module.
7. intelligent traffic robot according to claim 1, it is characterised in that also including being arranged at the robot body
On locating module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621059123.3U CN206133935U (en) | 2016-09-14 | 2016-09-14 | Intelligent transportation robot |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201621059123.3U CN206133935U (en) | 2016-09-14 | 2016-09-14 | Intelligent transportation robot |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206133935U true CN206133935U (en) | 2017-04-26 |
Family
ID=58569167
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201621059123.3U Active CN206133935U (en) | 2016-09-14 | 2016-09-14 | Intelligent transportation robot |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206133935U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109064736A (en) * | 2018-09-20 | 2018-12-21 | 周玲玲 | A kind of drunk driving inquiry robot |
| CN114170818A (en) * | 2021-11-30 | 2022-03-11 | 深圳市睿恪斯科技有限公司 | Fusion command interaction device based on image detection |
-
2016
- 2016-09-14 CN CN201621059123.3U patent/CN206133935U/en active Active
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109064736A (en) * | 2018-09-20 | 2018-12-21 | 周玲玲 | A kind of drunk driving inquiry robot |
| CN114170818A (en) * | 2021-11-30 | 2022-03-11 | 深圳市睿恪斯科技有限公司 | Fusion command interaction device based on image detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106251663A (en) | A kind of intelligent traffic robot | |
| CN106153352B (en) | A kind of automatic driving vehicle test and verification platform and its test method | |
| US11568100B2 (en) | Synthetic scenario simulator based on events | |
| US11150660B1 (en) | Scenario editor and simulator | |
| CN105892471B (en) | Automatic driving method and apparatus | |
| CN112789619B (en) | Simulation scene construction method, simulation method and device | |
| CN108196535A (en) | Automated driving system based on enhancing study and Multi-sensor Fusion | |
| US20220171065A1 (en) | Systems and methods for predicting a pedestrian movement trajectory | |
| CN105225478B (en) | Intelligent vehicle behavior record and evaluation method | |
| CN110155079A (en) | DAS (Driver Assistant System) and method based on block chain technology | |
| CN110356412A (en) | The method and apparatus that automatically rule for autonomous driving learns | |
| CN110598637A (en) | Unmanned driving system and method based on vision and deep learning | |
| DE102022102189A1 (en) | Multimodal segmentation mesh for improved semantic labeling in map generation | |
| US20220171066A1 (en) | Systems and methods for jointly predicting trajectories of multiple moving objects | |
| CN108961749A (en) | A kind of intelligent transportation system and intellectual traffic control method | |
| Kavitha et al. | Pothole and object detection for an autonomous vehicle using yolo | |
| CN111806466B (en) | Intelligent driving system and working process thereof | |
| CN206133935U (en) | Intelligent transportation robot | |
| US20240071100A1 (en) | Pipeline Architecture for Road Sign Detection and Evaluation | |
| CN109987098A (en) | The method and device of safe driving control is carried out based on Pavement analysis | |
| Liu et al. | An autopilot system based on ROS distributed architecture and deep learning | |
| CN116135654A (en) | Vehicle running speed generation method and related equipment | |
| CN206862369U (en) | A kind of robot zone navigation system based on BIM | |
| Shahane et al. | A self-driving car platform using raspberry Pi and Arduino | |
| Tsu-Tian | Research on intelligent transportation systems in Taiwan |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant |