CN110956803A - Multi-mode-based vehicle detection method and system - Google Patents
Multi-mode-based vehicle detection method and system Download PDFInfo
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- CN110956803A CN110956803A CN201911113624.3A CN201911113624A CN110956803A CN 110956803 A CN110956803 A CN 110956803A CN 201911113624 A CN201911113624 A CN 201911113624A CN 110956803 A CN110956803 A CN 110956803A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
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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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/0969—Systems involving transmission of navigation instructions to the vehicle having a display in the form of a map
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Abstract
The invention relates to a multi-mode-based vehicle detection method, which comprises the following steps: the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multimode vehicle detection system; the video vehicle inspection unit acquires the information of detected road vehicles in real time or at intervals of a set time, analyzes the traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multimode vehicle detection system; the multi-mode vehicle detection system generates a road state map by combining an electronic map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles; the multi-mode vehicle detection system receives the video vehicle detection unit detection information arranged at a specific road surface position and the vehicle information acquired by the vehicle-mounted unit arranged on the vehicle, and a road state map is formed by combining an electronic map.
Description
Technical Field
The invention relates to the technical field, in particular to a multi-mode-based vehicle detection method and system.
Background
With the progress of urbanization and the gradual popularization of motor vehicles, traffic jam becomes a normal state of urban travel, and the problem that the traffic jam is a problem in front of traffic management departments and industrial practitioners is solved.
The vehicle detector is developed for several generations, so that the vehicle detector is more and more convenient to apply and has gradually strong functions; the initial car detector is a coil car detector adopting a coil detection technology; however, the coil needs to break the road, so that the damage to the road is large, and the construction difficulty is large, so that the rear part of the road is gradually replaced by the video vehicle detector; but the initial video vehicle detector is a virtual coil video detection method based on the video analog coil detection principle, so that the vehicle detector can work after being installed on a pole without breaking a road; but only the vehicle entering and exiting virtual coil can be detected, and the false detection rate is high in the scenes and states of night, wind, snow, rain, fog, stop and go and the like; with the increasing of the computing power of AI chips and the popularization of a neural network video algorithm model, a video vehicle detector based on the neural network algorithm can detect and track all vehicles in a video field with the length of not less than 8 lanes and more than 100 meters, and although the problem of accurate detection and tracking in all weather and severe weather is solved, one device can only detect the traffic state of one section with the length of about 100 meters, and long-distance tracking and detection cannot be obtained.
There is a need for a vehicle detection method and system that can track and detect over a greater range of distances.
Disclosure of Invention
The technical problem to be solved by the present invention is to provide a vehicle detection method based on multiple modes and a vehicle detection system based on multiple modes, aiming at the above-mentioned defects in the prior art.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a multi-mode-based vehicle detection method is constructed, and the implementation method comprises the following steps:
the first step is as follows: the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multimode vehicle detection system;
the second step is that: the video vehicle detection unit acquires the information of detected road vehicles in real time or at a set time interval, analyzes the traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multi-mode vehicle detection system;
the third step: the multi-modal vehicle detection system generates a road state map by combining an electronic map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles.
The invention discloses a multi-mode-based vehicle detection method, wherein the third step further comprises the following steps: and the multi-mode vehicle detection system sends the road state map to the vehicle-mounted unit.
The invention discloses a multi-mode-based vehicle detection method, which further comprises the following steps: the vehicle-mounted unit acquires a vehicle type, a vehicle condition, a driving type and a vehicle travel destination of a user, and sends the vehicle speed and the vehicle travel destination to the multi-mode vehicle detection system, and the multi-mode vehicle detection system plans a vehicle travel route according to the road state map, screens out an optimal navigation route and sends the optimal navigation route to the vehicle-mounted unit for navigation.
The multi-modal-based vehicle detection method comprises the steps that the multi-modal vehicle detection system monitors the position information of a vehicle in real time or at intervals of a set time, adjusts the road state map, readjusts a navigation route and sends the navigation route to the vehicle-mounted unit for navigation when the position information of the vehicle deviates from the navigation route or traffic condition information on the navigation route is abnormal.
The invention relates to a multi-mode-based vehicle detection method, wherein a multi-mode vehicle detection system receives road surface vehicle information sent by video vehicle detection units of various regions and intersections periodically, persists data, and generates road state information by analyzing and processing the data; and the multi-modal vehicle detection system calls a map interface and generates the road state map by combining the road state information.
The multi-mode vehicle detection method comprises the steps that the multi-mode vehicle detection system monitors abnormal road surface states in road state information, and performs early warning or alarming and real-time feedback when the abnormal road surface states are monitored.
The multimode-based vehicle detection method is characterized in that the video vehicle detection unit performs vehicle identification and analysis on vehicles entering a video area according to vehicle characteristics to calculate vehicle information, captures and identifies and analyzes the type of a license plate when the vehicles enter the license plate identification area, and performs ID tracking on each vehicle; processing the acquired data to calculate the vehicle flow and the vehicle speed information; and processing the data detected by each vehicle, and calculating the queuing length and the congestion state of the relevant lanes.
A vehicle detection system based on multiple modes comprises an on-board unit, a video vehicle detection unit and a vehicle detection system based on multiple modes; the vehicle-mounted unit and the video vehicle inspection unit are in communication connection with the multi-mode vehicle inspection system;
the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multi-mode vehicle detection system;
the video vehicle detection unit acquires and detects road vehicle information in real time or at intervals of a set time, analyzes traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multi-mode vehicle detection system;
the multi-modal vehicle detection system generates a road status map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles.
The invention discloses a multi-mode-based vehicle detection system, wherein a vehicle-mounted unit comprises an information acquisition module, a navigation module and a positioning module;
the information acquisition module is used for acquiring vehicle information, user information and a vehicle travel destination;
the navigation module is used for receiving the road state map and the navigation line sent by the multi-modal vehicle detection system and navigating;
the positioning module is used for detecting the position information of the vehicle.
The invention discloses a multi-mode-based vehicle detection system, which comprises an intelligent data processing unit and a terminal information processing unit;
the intelligent data processing unit is used for receiving road surface vehicle information sent by the video vehicle inspection units of all areas and intersections according to periods, persisting the data, and analyzing and processing the data to generate road state information; the multi-modal vehicle detection system calls a map interface and generates the road state map by combining the actual position information of the vehicle and the road state information; planning a vehicle travel route according to the road state map, and screening out an optimal navigation route;
the intelligent data processing unit is further used for adjusting the road state map according to the actual position information of the vehicle, readjusting the navigation route and sending the navigation route to the vehicle-mounted unit for navigation when the situation that the position information of the vehicle deviates from the navigation route or the traffic condition information on the navigation route is abnormal is monitored; and monitoring the abnormal road surface state in the road state information, and performing early warning or alarming and real-time feedback when the abnormal road surface state is monitored.
The terminal information processing unit is used for receiving the vehicle information, the user information, the vehicle travel destination information and the positioning information collected by the vehicle-mounted unit, sending the vehicle information, the user information, the vehicle travel destination information and the positioning information to the intelligent data processing unit, receiving the navigation route of the intelligent data processing unit and sending the navigation route to the vehicle-mounted unit.
The invention has the beneficial effects that: the multi-mode vehicle detection system receives the video vehicle detection unit detection information arranged at a specific road surface position and the vehicle information acquired by the vehicle-mounted unit arranged on the vehicle, and a road state map is formed by combining an electronic map.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the present invention will be further described with reference to the accompanying drawings and embodiments, wherein the drawings in the following description are only part of the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained without inventive efforts according to the accompanying drawings:
FIG. 1 is a flow chart of a multi-modal based vehicle detection method in accordance with a preferred embodiment of the present invention;
FIG. 2 is a block diagram of a multimodal based vehicle detection system in accordance with a preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without inventive step, are within the scope of the present invention.
The multi-modal-based vehicle detection method of the preferred embodiment of the present invention, as shown in fig. 1, is implemented as follows:
s01: the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multimode vehicle detection system;
s02: the video vehicle inspection unit acquires the information of detected road vehicles in real time or at intervals of a set time, analyzes the traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multimode vehicle detection system;
s03: the multi-mode vehicle detection system generates a road state map by combining an electronic map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles;
the multi-mode vehicle detection system receives the detection information of the video vehicle detection unit arranged at a specific road surface position and the vehicle information acquired by the vehicle-mounted unit arranged on the vehicle, and a road state map is formed by combining an electronic map, so that the road surface actual condition can be reflected more accurately and more widely in monitoring range;
when the video vehicle inspection unit is arranged, the video vehicle inspection unit can be arranged at intersections, places with frequent accidents, places with frequent congestion, tunnels and the like;
the two steps of S01 and S02 are not in sequence.
Preferably, S03 further includes the method: the multi-mode vehicle detection system sends the road state map to the vehicle-mounted unit; so that the on-board unit can obtain a more accurate road state map; the map can be used for displaying nearby vehicles, displaying vehicles in front of or behind a certain distance, displaying congestion conditions on a navigation line, and displaying vehicle distribution conditions on the navigation line; when displaying a vehicle, the display is performed in the form of a point, a box, a vehicle model, or the like.
Preferably, the method further comprises the following steps: the method comprises the steps that a vehicle-mounted unit acquires a vehicle type, a vehicle condition, a driving type and a vehicle traveling destination of a user, and sends the vehicle speed and the vehicle traveling destination to a multi-mode vehicle detection system, the multi-mode vehicle detection system plans a vehicle traveling route according to a road state map, screens out an optimal navigation route and sends the optimal navigation route to a vehicle-mounted unit for navigation; vehicle information, user information and user input navigation demand information are acquired based on the vehicle-mounted unit, and comprehensive consideration is performed by combining a road state map, so that navigation is more accurate; the navigation information needs to be pre-stored to prevent network disruption.
Preferably, the multi-modal vehicle detection system monitors the position information of the vehicle in real time or at intervals of a set time, adjusts the road state map, and readjusts the navigation route and sends the navigation route to the vehicle-mounted unit for navigation when the monitored position information of the vehicle deviates from the navigation route or the traffic condition information on the navigation route is abnormal; the navigation route can be automatically adjusted conveniently when emergencies or road congestion and other abnormalities occur, and the intelligence is improved.
Preferably, the multi-modal vehicle detection system receives road vehicle information sent by video vehicle detection units of various regions and intersections periodically, persists the data, and analyzes and processes the data to generate road state information; the multi-modal vehicle detection system calls a map interface and generates a road state map by combining road state information.
Preferably, the multi-mode vehicle detection system monitors the abnormal road surface state in the road state information, and performs early warning or alarming and real-time feedback when the abnormal road surface state is monitored; the abnormal condition of the road surface can be mastered conveniently and timely.
Preferably, the video vehicle detection unit performs vehicle identification and analysis on vehicles entering the video area according to vehicle characteristics to calculate vehicle information, captures and identifies and analyzes the license plate type when the vehicles enter the license plate identification area, and performs ID tracking on each vehicle; processing the acquired data to calculate the vehicle flow and the vehicle speed information; and processing the data detected by each vehicle, and calculating the queuing length and the congestion state of the relevant lanes.
A vehicle detection system based on multiple modes comprises an on-board unit 1, a video vehicle detection unit 2 and a vehicle detection system 3 based on multiple modes; the vehicle-mounted unit 1 and the video vehicle inspection unit 2 are both in communication connection with the multi-mode vehicle detection system 3;
the vehicle-mounted unit 1 acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multimode vehicle detection system 3;
the video vehicle inspection unit 2 acquires the information of detected road vehicles in real time or at intervals of a set time, analyzes the traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multimode vehicle detection system 3;
a multi-modal vehicle detection system 3 that generates a road status map from traffic condition information of a plurality of road surfaces and vehicle position information of a plurality of vehicles;
the multi-mode vehicle detection system receives the video vehicle detection unit detection information arranged at a specific road surface position and the vehicle information acquired by the vehicle-mounted unit arranged on the vehicle, and a road state map is formed by combining an electronic map.
Preferably, the on-board unit 1 comprises an information acquisition module 10, a navigation module 11 and a positioning module 12;
the information acquisition module 10 is used for acquiring vehicle information, user information and a vehicle travel destination;
the navigation module 11 is configured to receive a road state map and a navigation route sent by the multimodal vehicle detection system, and perform navigation;
and the positioning module 12 is used for detecting the position information of the vehicle.
Preferably, the multimodal vehicle detection system 3 includes an intelligent data processing unit 30 and a terminal information processing unit 31;
the intelligent data processing unit 30 is used for receiving the road vehicle information sent by the video vehicle inspection units of all areas and intersections according to the period, making the data persistent, and analyzing and processing the data to generate road state information; the multi-modal vehicle detection system calls a map interface and generates a road state map by combining the actual position information of the vehicle and the road state information; planning the vehicle travel route according to the road state map, and screening out the optimal navigation route;
the intelligent data processing unit 30 is further configured to adjust the road state map according to the actual position information of the vehicle, and readjust the navigation route and send the navigation route to the vehicle-mounted unit for navigation when it is monitored that the position information of the vehicle deviates from the navigation route or the traffic condition information on the navigation route is abnormal; and monitoring the abnormal road surface state in the road state information, and performing early warning or alarming and real-time feedback when the abnormal road surface state is monitored.
And the terminal information processing unit 31 is configured to receive the vehicle information, the user information, the vehicle travel destination information, and the positioning information collected by the vehicle-mounted unit and send the vehicle information, the user information, the vehicle travel destination information, and the positioning information to the intelligent data processing unit, and receive the navigation route of the intelligent data processing unit and send the navigation route to the vehicle-mounted unit.
It will be understood that modifications and variations can be made by persons skilled in the art in light of the above teachings and all such modifications and variations are intended to be included within the scope of the invention as defined in the appended claims.
Claims (10)
1. A multi-mode-based vehicle detection method is characterized by comprising the following steps:
the first step is as follows: the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multimode vehicle detection system;
the second step is that: the video vehicle detection unit acquires the information of detected road vehicles in real time or at a set time interval, analyzes the traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multi-mode vehicle detection system;
the third step: the multi-modal vehicle detection system generates a road state map by combining an electronic map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles.
2. The multi-modality-based vehicle detection method of claim 1, wherein the third step further includes a method of: and the multi-mode vehicle detection system sends the road state map to the vehicle-mounted unit.
3. The multi-modality-based vehicle detection method of claim 1 or 2, further comprising a method of: the vehicle-mounted unit acquires a vehicle type, a vehicle condition, a driving type and a vehicle travel destination of a user, and sends the vehicle speed and the vehicle travel destination to the multi-mode vehicle detection system, and the multi-mode vehicle detection system plans a vehicle travel route according to the road state map, screens out an optimal navigation route and sends the optimal navigation route to the vehicle-mounted unit for navigation.
4. The multimodal-based vehicle detection method as claimed in claim 3, wherein the multimodal vehicle detection system monitors the position information of the vehicle in real time or at a set time interval, adjusts the road status map, and readjusts the navigation route and transmits the same to the on-board unit for navigation when it is monitored that the position information of the vehicle deviates from the navigation route or traffic condition information on the navigation route is abnormal.
5. The multi-modal-based vehicle detection method according to claim 1, wherein the multi-modal vehicle detection system periodically receives road surface vehicle information sent by video vehicle detection units of various regions and intersections, persists the data, and performs analysis processing to generate road state information; and the multi-modal vehicle detection system calls a map interface and generates the road state map by combining the road state information.
6. The multi-modal-based vehicle detection method according to claim 5, wherein the multi-modal vehicle detection system monitors abnormal road surface states in the road state information and performs early warning or alarm and real-time feedback when the abnormal road surface states are monitored.
7. The multi-modal-based vehicle detection method according to claim 1, wherein the video vehicle detection unit performs vehicle recognition and analysis on vehicles entering the video area according to vehicle characteristics to calculate vehicle information, captures and identifies and analyzes the type of a license plate when the vehicles enter the license plate recognition area, and performs ID tracking on each vehicle; processing the acquired data to calculate the vehicle flow and the vehicle speed information; and processing the data detected by each vehicle, and calculating the queuing length and the congestion state of the relevant lanes.
8. A multi-modal-based vehicle detection system, the multi-modal-based vehicle detection method according to any one of claims 1 to 7, characterized by comprising an on-board unit, a video car inspection unit and a multi-modal vehicle detection system; the vehicle-mounted unit and the video vehicle inspection unit are in communication connection with the multi-mode vehicle inspection system;
the vehicle-mounted unit acquires vehicle position information in real time or at intervals of a set time and uploads the vehicle position information to the multi-mode vehicle detection system;
the video vehicle detection unit acquires and detects road vehicle information in real time or at intervals of a set time, analyzes traffic condition information according to the road vehicle information, and uploads the traffic condition information to the multi-mode vehicle detection system;
the multi-modal vehicle detection system generates a road status map according to the traffic condition information of a plurality of road surfaces and the vehicle position information of a plurality of vehicles.
9. The multimodal-based vehicle detection system of claim 8, wherein the on-board unit includes an information collection module, a navigation module, and a location module;
the information acquisition module is used for acquiring vehicle information, user information and a vehicle travel destination;
the navigation module is used for receiving the road state map and the navigation line sent by the multi-modal vehicle detection system and navigating;
the positioning module is used for detecting the position information of the vehicle.
10. The multimodal-based vehicle detection system as recited in claim 9, wherein the multimodal vehicle detection system includes an intelligent data processing unit and a terminal information processing unit;
the intelligent data processing unit is used for receiving road surface vehicle information sent by the video vehicle inspection units of all areas and intersections according to periods, persisting the data, and analyzing and processing the data to generate road state information; the multi-modal vehicle detection system calls a map interface and generates the road state map by combining the actual position information of the vehicle and the road state information; planning a vehicle travel route according to the road state map, and screening out an optimal navigation route;
the intelligent data processing unit is further used for adjusting the road state map according to the actual position information of the vehicle, readjusting the navigation route and sending the navigation route to the vehicle-mounted unit for navigation when the situation that the position information of the vehicle deviates from the navigation route or the traffic condition information on the navigation route is abnormal is monitored; and monitoring the abnormal road surface state in the road state information, and performing early warning or alarming and real-time feedback when the abnormal road surface state is monitored.
The terminal information processing unit is used for receiving the vehicle information, the user information, the vehicle travel destination information and the positioning information collected by the vehicle-mounted unit, sending the vehicle information, the user information, the vehicle travel destination information and the positioning information to the intelligent data processing unit, receiving the navigation route of the intelligent data processing unit and sending the navigation route to the vehicle-mounted unit.
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