Intelligent vehicle detection system and method for tunnel emergency parking strip

Abstract

The invention relates to the technical field of tunnel safety management, in particular to an intelligent vehicle detection system and method for a tunnel emergency parking strip, and the method comprises the steps: shooting an area image of the tunnel emergency parking strip in real time, and carrying out the preprocessing of the shot image, and obtaining a parking strip image; performing target detection on the parking strip image, extracting parking vehicle information, judging a vehicle state, and analyzing vehicle behaviors based on the vehicle state to obtain vehicle behavior information; according to the method, a vehicle driver is informed of punishment based on vehicle behavior information, or vehicles entering a tunnel subsequently are early warned, a tunnel emergency parking strip area is monitored in real time, the position and state of the vehicle are analyzed through an image recognition algorithm, and a corresponding punishment notice is automatically generated. The driver is notified to drive the vehicle to leave the tunnel emergency parking strip, the phenomenon that the vehicle occupies the tunnel parking strip due to illegal parking is avoided, and when the vehicle behavior information is not illegal, the vehicle entering the tunnel subsequently can be pre-warned.

Description

Technical Field

[0001] The present invention relates to the technical field of tunnel safety management, and in particular to a vehicle intelligent detection system and method for an emergency parking strip in a tunnel. Background Art

[0002] Highway tunnels, as the most complex sections of highway, are prone to traffic accidents. Accidents are difficult to handle, resulting in significant impacts and a significant threat to highway safety. Therefore, emergency parking lanes are typically installed in highway tunnels to provide temporary parking for vehicles experiencing breakdowns or other emergencies. This ensures smooth traffic flow and reduces disruption from vehicles involved in accidents or breakdowns.

[0003] However, there has always been a situation where vehicles are illegally parked and occupied in tunnel parking lanes, which poses a great hidden danger to the safe passage of vehicles in tunnels. Therefore, it is urgent to design an intelligent vehicle detection system and method for tunnel emergency parking lanes to strengthen the management and control of tunnel parking lanes and improve the tunnel's emergency response capabilities. Summary of the Invention

[0004] The purpose of the present invention is to provide a vehicle intelligent detection system and method for tunnel emergency parking lanes, aiming to solve the problem that vehicles are illegally parked and occupied in existing tunnel parking lanes, which poses a hidden danger to the safe passage of tunnel vehicles.

[0005] To achieve the above objectives, in a first aspect, the present invention provides a method for intelligently detecting vehicles in an emergency stop lane in a tunnel, comprising the following steps:

[0006] Real-time capture of the tunnel emergency parking strip area image, and pre-processing of the captured image to obtain the parking strip image;

[0007] performing target detection on the parking strip image, extracting parked vehicle information, determining vehicle status, and analyzing vehicle behavior based on the vehicle status to obtain vehicle behavior information;

[0008] Based on the vehicle behavior information, a penalty notice is issued to the vehicle driver, or a warning is issued to subsequent vehicles entering the tunnel.

[0009] The specific method of capturing the image of the emergency parking strip area in the tunnel in real time and preprocessing the captured image to obtain the parking strip image is as follows:

[0010] Use a high-definition camera to capture images of the tunnel emergency parking area in real time to obtain captured images;

[0011] Denoising, color adjustment and contrast enhancement are performed on the captured image to obtain a parking strip image.

[0012] The specific method of performing target detection on the parking strip image, extracting parked vehicle information, determining vehicle status, and then analyzing vehicle behavior based on the vehicle status to obtain vehicle behavior information is as follows:

[0013] Performing target detection on the parking strip image based on a deep learning algorithm, and extracting information about vehicles parked in the emergency parking strip of the tunnel to obtain vehicle information;

[0014] Determining a parking state of a vehicle on an emergency parking strip in a tunnel based on the parking strip image pair to obtain a vehicle state;

[0015] Based on the vehicle state, the parking behavior on the emergency parking strip of the tunnel is judged and analyzed to obtain vehicle behavior information.

[0016] The method for intelligently detecting vehicles in the tunnel emergency parking strip further includes establishing a storage folder based on the vehicle information, and storing the parking strip image, the vehicle information and the penalty notice.

[0017] The specific method of notifying the driver of the vehicle of the penalty based on the vehicle behavior information, or issuing an early warning to subsequent vehicles entering the tunnel is as follows:

[0018] Based on the vehicle behavior information, it is determined whether the vehicle has violated any regulations or laws. If the vehicle has violated any regulations or laws, a corresponding traffic penalty is automatically generated based on the vehicle information, the penalty notice is notified to the vehicle driver, and the vehicle is driven out of the emergency parking lane of the tunnel. If the vehicle is parked due to special circumstances, the vehicle has not violated any regulations or laws. A display board at the tunnel entrance will prompt that there is a vehicle parked due to a breakdown in the emergency parking lane of the tunnel, and subsequent vehicles entering the tunnel will be warned.

[0019] In a second aspect, the present invention further provides a vehicle intelligent detection system for an emergency stop strip in a tunnel, which is applied to the vehicle intelligent detection method for an emergency stop strip in a tunnel as described in the first aspect, and is characterized in that:

[0020] It includes an image acquisition module, a vehicle behavior module, a tunnel management module, a data storage module and a control module, wherein the control module is connected to the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module respectively, and the data storage module is connected to the image acquisition module, the vehicle behavior module and the tunnel management module respectively, and the image acquisition module, the vehicle behavior module and the tunnel management module are connected in sequence;

[0021] The image acquisition module is used to capture images of the emergency parking strip area of the tunnel in real time and pre-process the captured images to obtain parking strip images;

[0022] The vehicle behavior module is configured to perform target recognition on the parking strip image, extract information about parked vehicles, detect and determine vehicle status, and analyze vehicle behavior based on the vehicle status to obtain vehicle behavior information;

[0023] The tunnel management module notifies the vehicle driver of a penalty based on the vehicle behavior information, or issues an early warning to subsequent vehicles entering the tunnel, thereby managing the tunnel;

[0024] The data storage module is configured to store the parking strip image, the vehicle information, and the penalty notice;

[0025] The control module is used to control the operation of the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module.

[0026] The vehicle behavior module includes a detection unit, an extraction unit, a judgment unit, and an analysis unit, and the detection unit, the extraction unit, the judgment unit, and the analysis unit are connected in sequence;

[0027] The detection unit is configured to perform target detection on the parking strip image to obtain detection data;

[0028] The extraction unit is used to identify the detection data and extract vehicle information;

[0029] The judgment unit judges the vehicle state based on the vehicle information;

[0030] The analyzing unit analyzes the vehicle behavior based on the vehicle state to obtain vehicle behavior information.

[0031] The present invention provides an intelligent vehicle detection method for an emergency parking strip in a tunnel. The method captures an image of the emergency parking strip area of the tunnel in real time, and pre-processes the captured image to obtain an image of the parking strip; performs target detection on the parking strip image, extracts parked vehicle information, and determines the vehicle status, and then analyzes the vehicle behavior based on the vehicle status to obtain vehicle behavior information; based on the vehicle behavior information, a penalty notice is issued to the vehicle driver, or a warning is issued to subsequent vehicles entering the tunnel. The method monitors the emergency parking strip area of the tunnel in real time, analyzes the position and status of the vehicle using an image recognition algorithm, and automatically generates a corresponding penalty notice, notifying the driver to drive the vehicle out of the emergency parking strip of the tunnel, thereby avoiding the occurrence of the phenomenon of vehicles illegally parked and occupying the tunnel parking strip. When the vehicle behavior information does not violate any laws or regulations, a warning can be issued to subsequent vehicles entering the tunnel, thereby solving the problem of vehicles illegally parked and occupying the existing tunnel parking strip, which poses a hidden danger to the safe passage of tunnel vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0033] Figure 1 The present invention provides a flow chart of a method for intelligently detecting vehicles in a tunnel emergency parking zone.

[0034] Figure 2 The present invention is a flowchart of a specific method for capturing images of a tunnel emergency parking strip area in real time and preprocessing the captured images to obtain parking strip images.

[0035] Figure 3 The flowchart is a specific method of performing target detection on the parking strip image, extracting parked vehicle information, determining vehicle status, and then analyzing vehicle behavior based on the vehicle status to obtain vehicle behavior information.

[0036] Figure 4 The present invention provides a connection diagram of a vehicle intelligent detection system for an emergency parking zone in a tunnel.

[0037] In the figure: 1-image acquisition module, 2-vehicle behavior module, 3-tunnel management module, 4-data storage module, 5-control module, 6-detection unit, 7-extraction unit, 8-judgment unit, 9-analysis unit, 10-generation unit, 11-notification unit, 12-early warning unit, 13-construction unit, 14-storage unit, 15-tracing unit. DETAILED DESCRIPTION

[0038] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0039] See also Figures 1 to 4 In a first aspect, the present invention provides a method for intelligently detecting vehicles in an emergency parking zone in a tunnel, comprising the following steps:

[0040] S1 captures images of the tunnel emergency parking strip area in real time and pre-processes the captured images to obtain parking strip images;

[0041] Specific method:

[0042] S11 uses a high-definition camera to capture images of the tunnel emergency parking area in real time to obtain captured images;

[0043] In this embodiment of the present invention, high-definition cameras are installed at key locations in the tunnel's emergency parking area to ensure that images of the entire parking area can be captured. The cameras should have night vision, waterproof, and dustproof features to adapt to the complex environment within the tunnel.

[0044] S12 performs denoising, color adjustment, and contrast enhancement on the captured image to obtain a parking strip image.

[0045] In an embodiment of the present invention, the captured image is pre-processed, including denoising, contrast enhancement, color adjustment, etc., to improve image quality and recognition accuracy.

[0046] S2 performs target detection on the parking strip image, extracts parked vehicle information, determines vehicle status, and then analyzes vehicle behavior based on the vehicle status to obtain vehicle behavior information;

[0047] Specific method:

[0048] S21 performs target detection on the parking strip image based on a deep learning algorithm, and extracts information of vehicles parked in the emergency parking strip of the tunnel to obtain vehicle information;

[0049] In an embodiment of the present invention, a deep learning algorithm (such as YOLO, SSD, etc.) is used to perform target detection on the preprocessed image, identify the vehicle target, extract the parking information on the emergency parking strip in the tunnel, and obtain vehicle information.

[0050] S22 determines the parking state of the vehicle in the emergency parking lane of the tunnel based on the parking lane image pair, and obtains the vehicle state;

[0051] S23 judges and analyzes the parking behavior on the emergency parking strip of the tunnel based on the vehicle state to obtain vehicle behavior information.

[0052] In an embodiment of the present invention, the behaviors of the vehicle and the driver are analyzed, such as determining whether there is illegal parking, whether the driver has left the vehicle, etc., which helps to discover potential safety hazards in a timely manner.

[0053] S3 issues a penalty notice to the vehicle driver based on the vehicle behavior information, or issues an early warning to subsequent vehicles entering the tunnel;

[0054] Specific method:

[0055] S31 determines whether the vehicle has violated any regulations or laws based on the vehicle behavior information. If the vehicle has violated any regulations or laws, a corresponding traffic penalty is automatically generated based on the vehicle information, the penalty notice is notified to the vehicle driver, and the vehicle is driven out of the emergency parking lane of the tunnel. If the vehicle is parked due to special circumstances, the vehicle has not violated any regulations or laws. The display board at the tunnel entrance will prompt that there is a vehicle parked due to a fault in the emergency parking lane of the tunnel, and subsequent vehicles entering the tunnel will be warned.

[0056] In the embodiment of the present invention, an early warning is issued to vehicles that subsequently enter the tunnel, reminding drivers to pay attention to avoid the vehicles.

[0057] S4 creates a storage folder based on the vehicle information and stores the parking lane image, the vehicle information, and the penalty notice.

[0058] Referring to the figure, in a second aspect, the present invention further provides a vehicle intelligent detection system for an emergency stop lane in a tunnel, which is applied to the vehicle intelligent detection method for an emergency stop lane in a tunnel as described in the first aspect, and is characterized in that;

[0059] It includes an image acquisition module, a vehicle behavior module, a tunnel management module, a data storage module and a control module, wherein the control module is connected to the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module respectively, and the data storage module is connected to the image acquisition module, the vehicle behavior module and the tunnel management module respectively, and the image acquisition module, the vehicle behavior module and the tunnel management module are connected in sequence;

[0060] The image acquisition module is used to capture images of the emergency parking strip area of the tunnel in real time and pre-process the captured images to obtain parking strip images;

[0061] The vehicle behavior module is configured to perform target recognition on the parking strip image, extract information about parked vehicles, detect and determine vehicle status, and analyze vehicle behavior based on the vehicle status to obtain vehicle behavior information;

[0062] The tunnel management module notifies the vehicle driver of a penalty based on the vehicle behavior information, or issues an early warning to subsequent vehicles entering the tunnel, thereby managing the tunnel;

[0063] The data storage module is configured to store the parking strip image, the vehicle information, and the penalty notice;

[0064] The control module is used to control the operation of the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module.

[0065] In an embodiment of the present invention, the image acquisition module captures images of the emergency parking strip area of the tunnel in real time, and pre-processes the captured images to obtain parking strip images; the vehicle behavior module performs target recognition on the parking strip images, extracts parked vehicle information, detects and determines the vehicle status, and then analyzes the vehicle behavior based on the vehicle status to obtain vehicle behavior information; the tunnel management module issues penalty notices to vehicle drivers based on the vehicle behavior information, or issues warnings to subsequent vehicles entering the tunnel, thereby managing the tunnel; the data storage module is used to store the parking strip images, the vehicle information, and the penalty notices; and the control module is used to control the operation of the image acquisition module, the vehicle behavior module, the tunnel management module, and the data storage module.

[0066] Furthermore, the vehicle behavior module includes a detection unit, an extraction unit, a judgment unit, and an analysis unit, wherein the detection unit, the extraction unit, the judgment unit, and the analysis unit are connected in sequence;

[0067] The detection unit is configured to perform target detection on the parking strip image to obtain detection data;

[0068] The extraction unit is used to identify the detection data and extract vehicle information;

[0069] The judgment unit judges the vehicle state based on the vehicle information;

[0070] The analyzing unit analyzes the vehicle behavior based on the vehicle state to obtain vehicle behavior information.

[0071] In an embodiment of the present invention, the detection unit performs target detection on the parking strip image to obtain detection data, the extraction unit identifies the detection data and extracts vehicle information, the judgment unit judges the vehicle status based on the vehicle information, and the analysis unit analyzes the vehicle behavior based on the vehicle status to obtain vehicle behavior information, including vehicle model, color, license plate and other information.

[0072] Furthermore, the tunnel management module includes a generating unit, a notifying unit and an early warning unit;

[0073] The generating unit automatically generates a vehicle driver penalty notice based on the vehicle behavior information;

[0074] The notification unit is used to notify the driver of the penalty notice via SMS and inform the driver to drive the vehicle out of the tunnel emergency parking zone;

[0075] The early warning unit is used to warn vehicles that subsequently enter the tunnel.

[0076] In an embodiment of the present invention, the generation unit automatically generates a penalty notice for the vehicle driver based on the vehicle behavior information; the notification unit is used to notify the driver of the penalty notice via SMS and inform the driver to drive the vehicle out of the tunnel emergency parking lane; the early warning unit issues an early warning to subsequent vehicles entering the tunnel, reminding the driver to pay attention to avoid it.

[0077] Furthermore, the data storage module includes a construction unit, a storage unit and a tracing unit, and the construction unit, the storage unit and the tracing unit are connected in sequence;

[0078] The construction unit is used to create a storage folder;

[0079] The storage unit is configured to store the parking strip image, the vehicle information, and the penalty notice;

[0080] The tracing unit is used for the driver and the traffic police to subsequently trace and query the penalty notice and the corresponding situation.

[0081] In an embodiment of the present invention, the construction unit creates a storage folder, and the storage unit is used to store the parking strip image, the vehicle information and the penalty notice. Subsequently, the driver and traffic police can trace back the penalty notice and the corresponding situation through the tracing unit.

[0082] The above disclosure is only a preferred embodiment of the vehicle intelligent detection system and method for the emergency stop lane in a tunnel of the present invention. Of course, this cannot be used to limit the scope of the rights of the present invention. Ordinary technicians in this field can understand that implementing all or part of the processes of the above embodiment and making equivalent changes in accordance with the claims of the present invention still fall within the scope of the invention.

Claims

1. A method for intelligent detection of vehicles in tunnel emergency parking lanes, characterized in that: The following steps are involved: Real-time capture of the tunnel emergency parking strip area image, and pre-processing of the captured image to obtain the parking strip image; performing target detection on the parking strip image, extracting parked vehicle information, determining vehicle status, and analyzing vehicle behavior based on the vehicle status to obtain vehicle behavior information; Based on the vehicle behavior information, a penalty notice is issued to the vehicle driver, or a warning is issued to subsequent vehicles entering the tunnel.

2. The intelligent vehicle detection method for emergency stop lanes in tunnels according to claim 1, characterized in that ； The specific method of capturing the image of the emergency parking strip area in the tunnel in real time and preprocessing the captured image to obtain the parking strip image is as follows: Use a high-definition camera to capture images of the tunnel emergency parking area in real time to obtain captured images; Denoising, color adjustment and contrast enhancement are performed on the captured image to obtain a parking strip image.

3. The intelligent vehicle detection method for a tunnel emergency stop lane according to claim 1, characterized in that: The specific method of performing target detection on the parking strip image, extracting parked vehicle information, determining vehicle status, and then analyzing vehicle behavior based on the vehicle status to obtain vehicle behavior information is as follows: Performing target detection on the parking strip image based on a deep learning algorithm, and extracting information about vehicles parked in the emergency parking strip of the tunnel to obtain vehicle information; Determining a parking state of a vehicle on an emergency parking strip in a tunnel based on the parking strip image pair to obtain a vehicle state; Based on the vehicle state, the parking behavior on the emergency parking strip of the tunnel is judged and analyzed to obtain vehicle behavior information.

4. The intelligent vehicle detection method for emergency stop lanes in tunnels according to claim 1, characterized in that ； The vehicle intelligent detection method for the tunnel emergency parking strip further includes establishing a storage folder based on the vehicle information, and storing the parking strip image, the vehicle information and the penalty notice.

5. The intelligent vehicle detection method for the tunnel emergency stop lane according to claim 1, It is characterized by: The specific method of notifying the vehicle driver of the penalty based on the vehicle behavior information, or issuing an early warning to subsequent vehicles entering the tunnel is: Based on the vehicle behavior information, it is determined whether the vehicle has violated any regulations or laws. If the vehicle has violated any regulations or laws, a corresponding traffic penalty is automatically generated based on the vehicle information, the penalty notice is notified to the vehicle driver, and the vehicle is driven out of the emergency parking lane of the tunnel. If the vehicle is parked due to special circumstances, the vehicle has not violated any regulations or laws. A display board at the tunnel entrance will prompt that there is a vehicle parked due to a breakdown in the emergency parking lane of the tunnel, and subsequent vehicles entering the tunnel will be warned.

6. A vehicle intelligent detection system for a tunnel emergency stop lane, applied to the vehicle intelligent detection method for a tunnel emergency stop lane according to any one of claims 1 to 5, characterized in that ； It includes an image acquisition module, a vehicle behavior module, a tunnel management module, a data storage module and a control module, wherein the control module is connected to the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module respectively, and the data storage module is connected to the image acquisition module, the vehicle behavior module and the tunnel management module respectively, and the image acquisition module, the vehicle behavior module and the tunnel management module are connected in sequence; The image acquisition module is used to capture images of the emergency parking strip area of the tunnel in real time and pre-process the captured images to obtain parking strip images; The vehicle behavior module is configured to perform target recognition on the parking strip image, extract information about parked vehicles, detect and determine vehicle status, and analyze vehicle behavior based on the vehicle status to obtain vehicle behavior information; The tunnel management module notifies the vehicle driver of a penalty based on the vehicle behavior information, or issues an early warning to subsequent vehicles entering the tunnel, thereby managing the tunnel; The data storage module is configured to store the parking strip image, the vehicle information, and the penalty notice; The control module is used to control the operation of the image acquisition module, the vehicle behavior module, the tunnel management module and the data storage module.

7. The intelligent vehicle detection system for emergency stop lanes in tunnels as claimed in claim 6, characterized in that ； The vehicle behavior module includes a detection unit, an extraction unit, a judgment unit and an analysis unit, wherein the detection unit, the extraction unit, the judgment unit and the analysis unit are connected in sequence; The detection unit is configured to perform target detection on the parking strip image to obtain detection data; The extraction unit is used to identify the detection data and extract vehicle information; The judgment unit judges the vehicle state based on the vehicle information; The analyzing unit analyzes the vehicle behavior based on the vehicle state to obtain vehicle behavior information.

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