CN116985834A - Intelligent self-rescue system for vehicle in disaster - Google Patents
Intelligent self-rescue system for vehicle in disaster Download PDFInfo
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- CN116985834A CN116985834A CN202310891315.9A CN202310891315A CN116985834A CN 116985834 A CN116985834 A CN 116985834A CN 202310891315 A CN202310891315 A CN 202310891315A CN 116985834 A CN116985834 A CN 116985834A
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- 238000004891 communication Methods 0.000 claims abstract description 38
- 230000003993 interaction Effects 0.000 claims abstract description 20
- 238000013135 deep learning Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims abstract description 7
- 230000008569 process Effects 0.000 claims abstract description 7
- 238000013528 artificial neural network Methods 0.000 claims abstract description 6
- 238000005516 engineering process Methods 0.000 claims description 17
- 230000008909 emotion recognition Effects 0.000 claims description 10
- 230000008451 emotion Effects 0.000 claims description 8
- 238000007726 management method Methods 0.000 claims description 6
- 230000008447 perception Effects 0.000 claims description 6
- 239000000725 suspension Substances 0.000 claims description 5
- 238000007405 data analysis Methods 0.000 claims description 3
- 238000011084 recovery Methods 0.000 abstract description 6
- 230000009471 action Effects 0.000 abstract description 4
- 238000001514 detection method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000002996 emotional effect Effects 0.000 description 3
- 230000001133 acceleration Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000010801 machine learning Methods 0.000 description 2
- 230000002787 reinforcement Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000008921 facial expression Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
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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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/082—Selecting or switching between different modes of propelling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R1/00—Optical viewing arrangements; Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/20—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles
- B60R1/29—Real-time viewing arrangements for drivers or passengers using optical image capturing systems, e.g. cameras or video systems specially adapted for use in or on vehicles for viewing an area inside the vehicle, e.g. for viewing passengers or cargo
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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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
- B60W60/0015—Planning or execution of driving tasks specially adapted for safety
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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
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/65—Data transmitted between vehicles
Abstract
The invention relates to the technical field of disaster recovery of vehicles and discloses an intelligent disaster recovery system of vehicles, which comprises a sensing system, an early warning system, an intelligent decision system, a control system, a multi-communication system, an automatic driving system and a man-machine interaction system, wherein the sensing system comprises a vehicle sensing module, a deep learning and neural network module, a map data module, an image processing module and a computer vision module, and the computer vision module can process road images and video data acquired by the vehicle sensing module; the early warning system comprises an early warning module. According to the invention, the safety of the vehicle can be improved through multi-mode sensing, deep learning, intelligent decision and control, multi-communication cooperation and automatic driving and man-machine interaction, the sensing and understanding capability of the vehicle to the road environment is enhanced, the real-time communication and cooperation of the vehicle, surrounding vehicles and road infrastructure are realized, and accurate data support and collaborative decision are provided, so that the efficiency and accuracy of rescue actions are improved.
Description
Technical Field
The invention relates to the technical field of disaster-related self-rescue of vehicles, in particular to an intelligent disaster-related self-rescue system of vehicles.
Background
At present, the intelligent self-rescue system for the vehicle in case of disaster is a vehicle safety system for coping with emergency and disaster, and the system utilizes advanced sensing technology, intelligent decision and control algorithm and cooperative communication technology to enable the vehicle to autonomously take action when encountering accidents, natural disasters or other emergency conditions, so that the safety of the vehicle and passengers is ensured, and is one of the important systems in the intelligent vehicle at present.
However, the existing intelligent self-rescue system for vehicles in disaster has at least the following defects:
1. the existing intelligent self-rescue system for the vehicle in disaster cannot adopt multi-mode perception, so that judgment in disaster is not accurate enough, decision making and automatic control work of the vehicle cannot be automatically performed according to perception data, and passengers cannot be quickly and accurately assisted in disaster escape.
2. The existing intelligent self-rescue system for vehicles in disaster can not realize communication work of vehicles and infrastructure through various communication modules, so traffic information, road condition update and rescue instructions can not be obtained in real time, and the efficiency and accuracy of rescue actions are affected;
3. the existing intelligent self-rescue system for the vehicle in disaster can not recognize and analyze the facial expression of the passenger in disaster, so that the emotion change of the passenger is judged, and corresponding pacifying measures are taken according to the emotion change, so that the passenger is easy to miss the best rescue practice due to insufficient coldness in disaster.
Therefore, we propose a vehicle disaster intelligent self-rescue system.
Disclosure of Invention
The invention aims to provide an intelligent self-rescue system for a vehicle in disaster, which solves the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent self-rescue system for the vehicle in disaster comprises a sensing system, an early warning system, an intelligent decision system, a control system, a multi-communication system, an automatic driving system and a man-machine interaction system, wherein the sensing system comprises an external sensing module, a deep learning and neural network module, a map data module, an image processing module and a computer vision module, and the computer vision module can process road images and video data acquired by the external sensing module;
the early warning system comprises an early warning module, the early warning module can receive the data analysis result obtained by the sensing system, the intelligent decision system comprises a decision algorithm module, the control system correspondingly controls the vehicle based on the decision algorithm module, and the automatic driving system realizes automatic driving of the vehicle based on the control system;
the man-machine interaction system comprises an in-vehicle camera module and an emotion recognition module, wherein the emotion recognition module is used for recognizing emotion based on images shot by the in-vehicle camera module.
The multi-communication system comprises an inter-vehicle communication module, a vehicle infrastructure module and a cloud platform module, wherein the inter-vehicle communication module is used for transmitting data based on the perception system.
As a preferred embodiment of the present invention, the image processing module performs obstacle detection, pedestrian detection and traffic sign recognition based on the image and video captured by the vehicle exterior sensing module and the related data collected, and the map data module may provide high-precision map data and match and calibrate the sensing data.
As a preferred implementation mode of the invention, the early warning module generates early warning information after analyzing based on the data of the sensing system.
As a preferred embodiment of the present invention, the decision algorithm module may perform analysis, path planning and decision based on the early warning information data generated by the early warning module, and the control system includes a power control module, a brake control module, a suspension control module, a direction control module and a door control module.
As a preferred embodiment of the invention, each control module in the control system can control the braking, speed, direction and chassis height of the vehicle based on the decision algorithm module.
As a preferred implementation mode of the invention, the man-machine interaction system further comprises a voice recognition module, a gesture recognition module, a touch screen module and an audio module, wherein interfaces of the voice recognition module, the gesture recognition module, the touch screen module and the like can be interacted with a driver naturally.
As a preferred embodiment of the present invention, the in-vehicle camera detects the emotional state of the passenger in the vehicle, and the audio module feeds back based on the voice recognition module and the emotion recognition module.
As a preferred embodiment of the present invention, the vehicle part communication module exchanges sensing data and warning information with surrounding vehicles based on a wireless communication technology, and the vehicle infrastructure communication module exchanges traffic information and traffic light status with the road infrastructure based on a wireless communication technology.
As a preferred implementation mode of the invention, the cloud platform module is established and connected based on the cloud intelligent traffic management platform, and can exchange data in real time and acquire road condition information and rescue instructions.
Compared with the prior art, the invention has the following beneficial effects:
1. the intelligent self-rescue system for the vehicle in disaster has the advantages that the sensing and understanding capacity of the vehicle to the road environment is enhanced through technologies such as multi-mode sensing, intelligent decision and control systems, automatic driving functions and the like, intelligent decision and control can be made according to real-time conditions, higher-level safety performance is provided, and accident risks are reduced.
2. According to the intelligent self-rescue system for the vehicle in the disaster, disclosed by the invention, the vehicle can be communicated and cooperated with surrounding vehicles and road infrastructures in real time through the application of the multi-communication system, so that the system can acquire traffic information, road condition updating and rescue instructions in real time, and provide accurate data support and cooperative decision, thereby improving the efficiency and accuracy of rescue actions.
3. According to the intelligent self-rescue system for the vehicle in the disaster, the safety of passengers is protected through the technologies of a man-machine interaction system and the like, the man-machine interaction module enables the passengers to quickly send emergency help signals to the system, accurate positions of the vehicles are provided, the safety protection capability of the passengers in emergency is improved, emotion changes of the passengers can be automatically identified when the emergency happens, and accordingly pacifying work is timely carried out, the passengers can keep cool, and survival rate is improved.
Drawings
For a more clear description of the technical solutions of the embodiments of the present invention, reference will now be made to the following detailed description of non-limiting embodiments, with reference to the accompanying drawings, in which it is apparent that the drawings used in the following description are only some embodiments of the present invention, and from which other drawings can be obtained without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of the overall structure of the intelligent self-rescue system for a vehicle in disaster;
FIG. 2 is a schematic diagram of the sensing system structure of the intelligent disaster recovery system of the vehicle;
FIG. 3 is a schematic diagram of the intelligent decision system, the early warning system, the control system and the automatic driving system of the intelligent disaster recovery system of the vehicle;
FIG. 4 is a schematic diagram of a man-machine interaction system of the intelligent disaster recovery system of the present invention;
FIG. 5 is a schematic diagram of a multi-communication system of the intelligent disaster recovery system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-4, the present invention provides a technical solution: the intelligent self-rescue system for the vehicle in disaster comprises a sensing system, an early warning system, an intelligent decision system, a control system, a multi-communication system, an automatic driving system and a man-machine interaction system, wherein the sensing system comprises an external sensing module, a deep learning and neural network module, a map data module, an image processing module and a computer vision module, and the computer vision module can process road images and video data acquired by the external sensing module.
The image processing module is used for shooting images and videos based on the vehicle sensing module and collecting related data to perform obstacle detection, pedestrian detection and traffic sign recognition, and the map data module can be used for providing high-precision map data and matching and calibrating the map data with the sensing data.
The early warning system comprises an early warning module, the early warning module can receive data analysis results obtained by the sensing system and generate early warning information after analysis based on data of the sensing system, the intelligent decision system comprises a decision algorithm module, the decision algorithm module can conduct analysis, path planning and decision based on early warning information data generated by the early warning module, the control system comprises a power control module, a braking control module, a suspension control module, a direction control module and a vehicle door control module, the control modules can control braking, speed, direction, chassis height and opening and closing of a vehicle door of the vehicle based on the decision algorithm module, and the control system can conduct corresponding control on the vehicle based on the decision algorithm module.
In addition, the autopilot system enables autopilot of the vehicle based on the control system.
In the embodiment, various sensors such as cameras, laser radars, radars and the like are adopted for sensing, vision, laser and radar data are comprehensively utilized, more comprehensive and accurate environment sensing capability is provided, then deep learning and neural network technology is applied to process and analyze the sensing data, accuracy and robustness of obstacle recognition are improved, complex scenes and various uncertainties can be processed, high-precision map data can be combined, matching and calibration of the sensing data and the map data are realized, more accurate position and environment information is provided, path planning and decision making processes are optimized, technologies such as a rule engine, machine learning and reinforcement learning are adopted, the sensing data, the map information and traffic rules are comprehensively considered, intelligent decision making and path planning work are performed, and the road environment with complexity and dynamics is better adapted.
In addition, the automatic driving module is introduced to realize an automatic driving function, and the controllable system can be switched to a full automatic driving mode based on a decision obtained by the decision algorithm module in an emergency, so that the vehicle can safely leave a dangerous area, and the vehicle door can be automatically controlled to be forcibly opened when a fire disaster or water fall into the vehicle, thereby facilitating escape of passengers.
Example two
The man-machine interaction system comprises an in-vehicle camera module and an emotion recognition module, wherein the emotion recognition module is used for performing emotion recognition based on images shot by the in-vehicle camera module, and the in-vehicle camera is used for detecting the emotion state of passengers in the vehicle.
The man-machine interaction system further comprises a voice recognition module, a gesture recognition module, a touch screen module and an audio module, wherein interfaces such as the voice recognition module, the gesture recognition module and the touch screen module can perform natural interaction with a driver.
In addition, the audio module feeds back based on the speech recognition module and the emotion recognition module.
In the embodiment, a convenient and visual interaction mode is provided by adopting a multi-mode man-machine interaction interface of voice, gestures and a touch screen, so that passengers can conveniently seek help in an emergency and operate a system, and secondly, the in-car camera module can be utilized to detect the emotional state and the tension degree of the passengers by combining the face recognition technology, and according to the emotional state and the tension degree, corresponding words or music are played by utilizing the audio module, so that pacifying and supporting are realized.
Example III
The multi-communication system comprises an inter-vehicle communication module, a vehicle infrastructure module and a cloud platform module, wherein the inter-vehicle communication module is used for transmitting data based on the perception system.
The vehicle part communication module exchanges sensing data and warning information with surrounding vehicles based on a wireless communication technology, and the vehicle infrastructure communication module exchanges traffic information and signal lamp states with the road infrastructure based on the wireless communication technology.
Secondly, the cloud platform module is established and connected based on the cloud intelligent traffic management platform, and can exchange data in real time and acquire road condition information and rescue instructions.
In the embodiment, the real-time sharing of perceived data, traffic information and danger warning among vehicles can be realized through the inter-vehicle signal module so as to improve the overall traffic safety, the communication with road infrastructure can be realized through the vehicle infrastructure communication module, the real-time traffic state and road condition information are obtained, the more accurate decision and path planning are realized, the cloud platform module can be connected with the cloud intelligent traffic management platform, the traffic data, the road condition update and the emergency rescue instruction are obtained in real time, and the real-time cooperation is performed with other vehicles and rescue workers.
The sensing and early warning system module can sense through sensors used by various vehicle exterior sensing modules, such as cameras, laser radars, radars and the like, acquire road images and video data, the data are processed by the image processing module and the computer vision module to realize the functions of obstacle detection, traffic sign recognition and the like, the deep learning and neural network technology is utilized to improve the accuracy and the robustness of obstacle recognition, meanwhile, the sensing and early warning system module is matched and calibrated with high-precision map data to acquire accurate position and environment information, the early warning module generates early warning information, such as obstacles, traffic signs and the like, according to the sensing data and analysis results, the intelligent decision and control system adopts a hybrid intelligent decision algorithm to warn a driver in advance through technologies of rule engines, machine learning, reinforcement learning and the like, the perceived data is analyzed, the path planning and decision are carried out, the braking control module can control the braking force of the vehicle and the moment distributed to each wheel according to the decision result so as to realize the expected braking effect, the power control module adjusts the acceleration and the speed of the vehicle according to the decision result, the suspension control module works cooperatively with the decision result and the control module to adjust the vehicle suspension system to realize special control such as lateral movement, off-road driving and the like, the direction control module realizes automatic control of the direction according to the decision result so as to achieve the aim of automatic risk avoidance, the door switch can also be automatically controlled, the door can be automatically opened at the first time when the vehicle encounters a disaster so as to facilitate the escape of passengers, in the using process of the vehicle, the communication between the vehicles and the communication of the infrastructure of the vehicle can be realized through the multi-communication system, the information sharing and the cooperative decision are realized by utilizing the wireless communication technology, the intelligent vehicle intelligent management system realizes cooperative work among vehicles by exchanging sensing data, warning information and the like with surrounding vehicles, meanwhile, exchanges traffic information, signal lamp states and the like with road infrastructure, acquires real-time traffic data and road condition information, establishes connection with a cloud intelligent traffic management platform, exchanges data in real time, acquires rescue instructions, cooperates with other vehicles and rescue personnel in real time, and an automatic driving system realizes an automatic driving function through an automatic driving module, controls acceleration, steering and braking of the vehicles according to decision results and sensing data, ensures that the vehicles can safely drive away from dangerous areas, and a man-machine interaction system provides various interaction modes, such as interfaces of voice recognition, gesture recognition, touch screens and the like, facilitates emergency help seeking and system operation of passengers, can detect the emotion states and tension of the passengers through a camera module in the vehicle, and provides corresponding pacifying and supporting according to needs.
It should be noted that the invention relates to an intelligent self-rescue system for a vehicle in disaster, the components of the system are universal standard components or components known to those skilled in the art, and the structures and principles of the system are known by those skilled in the art through technical manuals or by conventional experimental methods.
Claims (9)
1. The intelligent self-rescue system for the vehicle in disaster comprises a sensing system, an early warning system, an intelligent decision system, a control system, a multi-communication system, an automatic driving system and a man-machine interaction system, and is characterized in that the sensing system comprises an external sensing module, a deep learning and neural network module, a map data module, an image processing module and a computer vision module, and the computer vision module can process road images and video data acquired by the external sensing module;
the early warning system comprises an early warning module, the early warning module can receive the data analysis result obtained by the sensing system, the intelligent decision system comprises a decision algorithm module, the control system correspondingly controls the vehicle based on the decision algorithm module, and the automatic driving system realizes automatic driving of the vehicle based on the control system;
the man-machine interaction system comprises an in-vehicle camera module and an emotion recognition module, wherein the emotion recognition module is used for recognizing emotion based on images shot by the in-vehicle camera module.
The multi-communication system comprises an inter-vehicle communication module, a vehicle infrastructure module and a cloud platform module, wherein the inter-vehicle communication module is used for transmitting data based on the perception system.
2. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the image processing module is used for detecting obstacles, detecting pedestrians and identifying traffic signs based on the image and video shot by the vehicle exterior sensing module and collecting related data, and the map data module can provide high-precision map data and match and calibrate the sensing data.
3. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the early warning module generates early warning information after analyzing based on the data of the sensing system.
4. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the decision algorithm module can analyze, route plan and decide based on the early warning information data generated by the early warning module, and the control system comprises a power control module, a braking control module, a suspension control module, a direction control module and a vehicle door control module.
5. The intelligent self-rescue system for a vehicle in disaster according to claim 4, wherein: each control module in the control system can control the braking, speed, direction and chassis height of the vehicle based on the decision algorithm module.
6. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the man-machine interaction system further comprises a voice recognition module, a gesture recognition module, a touch screen module and an audio module, wherein interfaces such as the voice recognition module, the gesture recognition module and the touch screen module can perform natural interaction with a driver.
7. The intelligent self-rescue system for a vehicle in disaster according to claim 6, wherein: the in-car camera detects the emotion state of the passenger in the car, and the audio module feeds back based on the voice recognition module and the emotion recognition module.
8. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the vehicle part communication module exchanges perception data and warning information with surrounding vehicles based on a wireless communication technology, and the vehicle infrastructure communication module exchanges traffic information and signal lamp states with the road infrastructure based on the wireless communication technology.
9. The intelligent self-rescue system for a vehicle in disaster according to claim 1, wherein: the cloud platform module is established and connected based on the cloud intelligent traffic management platform, and can exchange data in real time and acquire road condition information and rescue instructions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310891315.9A CN116985834A (en) | 2023-07-20 | 2023-07-20 | Intelligent self-rescue system for vehicle in disaster |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310891315.9A CN116985834A (en) | 2023-07-20 | 2023-07-20 | Intelligent self-rescue system for vehicle in disaster |
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| Publication Number | Publication Date |
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| CN116985834A true CN116985834A (en) | 2023-11-03 |
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| CN202310891315.9A Pending CN116985834A (en) | 2023-07-20 | 2023-07-20 | Intelligent self-rescue system for vehicle in disaster |
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| CN (1) | CN116985834A (en) |
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- 2023-07-20 CN CN202310891315.9A patent/CN116985834A/en active Pending
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