KR20220019114A - Telemedicine system for self driving cars - Google Patents

Telemedicine system for self driving cars Download PDF

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KR20220019114A
KR20220019114A KR1020200097805A KR20200097805A KR20220019114A KR 20220019114 A KR20220019114 A KR 20220019114A KR 1020200097805 A KR1020200097805 A KR 1020200097805A KR 20200097805 A KR20200097805 A KR 20200097805A KR 20220019114 A KR20220019114 A KR 20220019114A
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autonomous vehicle
diagnosis server
abnormality
driving
determines whether
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KR102568260B1 (en
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오재영
정재영
조건주
권지훈
박수조
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한양대학교 에리카산학협력단
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    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
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Abstract

In accordance with the present invention, provided is a telemedicine system of an autonomous driving vehicle, capable of enabling an autonomous driving vehicle to sense the body condition of a passenger and enable quick diagnosis and treatment when detecting a symptom, thereby maximizing the safety of the passenger while efficiently driving the autonomous driving vehicle. In accordance with one aspect of the present invention, the telemedicine system of an autonomous driving vehicle includes: an autonomous driving vehicle including a sensing part collecting a biometric signal or image of a user, and a control part calculating a driving route and controlling driving; and a diagnostic server receiving the collected biometric signal or image. The diagnostic server includes: a first diagnostic server primarily determining whether the collected biometric signal or image is abnormal; and a second diagnostic server confirming the abnormality.

Description

자율주행 차량의 원격 진료 시스템{TELEMEDICINE SYSTEM FOR SELF DRIVING CARS}Telemedicine system for autonomous vehicle {TELEMEDICINE SYSTEM FOR SELF DRIVING CARS}

본 발명은 원격 진료 시스템에 대한 것으로서, 보다 상세하게는 자율주행 차량의 원격 진료 시스템에 대한 것이다. The present invention relates to a remote medical treatment system, and more particularly, to a remote medical treatment system for an autonomous vehicle.

자율주행 차량은 인간의 운전 없이 자동으로 주행할 수 있는 자동차이다. 무인자동차는 레이더, LIDAR(light detection and ranging), GPS, 카메라로 주위의 환경을 인식하여 목적지를 지정하는 것만으로 자율적으로 주행한다. 이미 실용화되고 있는 무인자동차로는 이스라엘 군에서 운용되는 미리 설정된 경로를 순찰하는 무인 차량과 국외 광산이나 건설 현장 등에서 운용되고 있는 덤프 트럭 등의 무인 운행 시스템 등이 있다.An autonomous vehicle is a vehicle that can drive automatically without human driving. Autonomous vehicles drive autonomously by recognizing their surroundings using radar, light detection and ranging (LIDAR), GPS, and cameras and specifying a destination. Unmanned vehicles that are already being put into practical use include unmanned vehicles that patrol preset routes operated by the Israeli military, and unmanned driving systems such as dump trucks operated in overseas mines and construction sites.

이러한 자율주행 차량의 첫 번째 핵심기술은 무인자동차 시스템과 Actual System이다. 실험실 내의 시뮬레이션뿐만 아니라 실제로 무인자동차 시스템을 구축하는 기술이며 구동장치인 가속기, 감속기 및 조향장치 등을 무인화 운행에 맞도록 구현하고, 무인자동차에 장착된 컴퓨터, 소프트웨어 그리고 하드웨어를 이용하여 제어를 가능하게 한다.The first core technologies of these autonomous vehicles are the driverless vehicle system and the actual system. It is a technology that not only simulates in the laboratory but also actually builds an unmanned vehicle system. It implements the driving devices such as accelerators, reducers and steering devices to suit unmanned operation, and enables control using the computer, software and hardware installed in the unmanned vehicle. do.

두 번째 핵심기술은 비전, 센서를 이용하여 시각정보를 입력받고 처리하는 것이다. 무인화 운행을 위한 자율 주행의 기본이 되는 것으로, 영상정보를 받아들이고 이 영상 중에서 필요한 정보를 추출해내는 기술이다. 이것은 CCD(charge-coupled device) 카메라뿐만 아니라 초음파 센서 및 레인지 필더 등의 센서를 사용하여 거리와 주행에 필요한 정보를 융합하여 분석 및 처리를 통해 장애물 회피와 돌발상황에 대처할 수 있게 한다. The second core technology is to receive and process visual information using vision and sensors. As the basis of autonomous driving for unmanned operation, it is a technology that accepts image information and extracts necessary information from the image. It uses not only CCD (charge-coupled device) cameras but also ultrasonic sensors and range filters to fuse information necessary for distance and driving, so that it can avoid obstacles and cope with unexpected situations through analysis and processing.

세 번째 핵심기술은 통합관제 시스템과 운행감시 고장진단체계 기술이다. 이 기술은 차량의 운행을 감시하고 수시로 바뀌는 상황에 따라 적절한 명령을 내리는 운행감시체계를 구축하고, 개별적 프로세서 및 센서에서 발생되는 여러 상황을 분석하여 시스템의 고장을 진단하여 오퍼레이터에 대한 적절한 정보를 제공하거나 경보를 알리는 기능을 수행할 수 있게 한다.The third core technology is the integrated control system and operation monitoring fault diagnosis system technology. This technology establishes a driving monitoring system that monitors vehicle operation and gives appropriate commands according to frequently changing situations, analyzes various situations generated by individual processors and sensors, diagnoses system failures, and provides appropriate information to the operator or to perform the function of notifying an alarm.

네 번째 핵심기술은 지능제어 및 지능운행 장치이다. 이 기술은 무인운행기법으로 실제 차량모델을 이용한 수학적인 해석에 근거하여 제어명령을 생성하여 현재 무인자동차에 적용되고 있는 첫 번째 적용기술은 지능형 순향제어(ACC: Adaptive Cruise Control) 시스템이다. 지능형 순향제어는 레이다 가이드 기술에 기반을 두고 운전자가 페달을 조작하지 않아도 스스로 속도를 조절하여 앞차 또는 장애물과의 거리를 유지시켜주는 시스템이다. 운전자가 앞차와의 거리를 입력하면 자동차 전면에 부착된 장거리 레이다가 앞차의 위치를 탐지하여 일정속도를 유지하거나 감속, 가속하며 필요한 경우 완전히 정지하여 시야확보가 어려운 날씨에 유용하다.The fourth core technology is intelligent control and intelligent operation device. This technology is an unmanned driving technique that generates control commands based on mathematical analysis using real vehicle models. Intelligent Forward Control is a system that maintains the distance from the vehicle in front or obstacles by adjusting the speed by itself without the driver operating the pedals based on radar guide technology. When the driver inputs the distance to the vehicle in front, the long-distance radar attached to the front of the vehicle detects the position of the vehicle in front, maintains a constant speed, decelerates or accelerates, and stops completely if necessary, which is useful in weather where visibility is difficult.

다섯 번째 적용기술은 차선이탈방지 시스템이다. 이는 내부에 달린 카메라가 차선을 감지하여 의도하지 않은 이탈 상황을 운전자에게 알려주는 기술로 무인자동차에서는 도보와 중앙선을 구분하여 자동차가 차선을 따라 안전하게 주행할 수 있도록 해준다.The fifth applied technology is the lane departure prevention system. This is a technology that notifies the driver of an unintended departure situation by detecting the lane with a camera installed inside.

여섯 번째 적용기술은 주차보조 시스템이다. 이는 운전자가 어시스트 버튼을 탐색한 수 후진기어를 넣고 브레이크 페달을 밟으면 자동차가 조향장치 조절하여 후진 일렬주차를 도와주는 시스템이다. 차량 장착형 센서뿐만 아니라 인프라를 기반으로 출발지에서 주차공간까지 차량을 자동으로 유도하여 주차 시 불필요하게 소모되는 시간과 에너지를 절약해주어 소요비용과 환경오염을 최소화 해준다.The sixth application technology is the parking assistance system. This is a system that helps the car park in reverse by adjusting the steering system when the driver finds the assist button, puts in reverse gear, and presses the brake pedal. By automatically guiding the vehicle from the departure point to the parking space based on infrastructure as well as vehicle-mounted sensors, it saves unnecessary time and energy when parking, thereby minimizing cost and environmental pollution.

일곱 번째 적용기술은 자동주차 시스템이다. 이는 운전자가 주차장 앞에 차를 정지시킨 뒤 엔진을 끄고 내려서 리모콘 잠금 스위치를 2회 연속 누르면 자동차에 설치된 카메라가 차고의 반대편 벽에 미리 붙여놓은 반사경을 탐지해 적정한 접근 경로를 계산하여 스스로 주차를 하는 기술이다.The seventh application technology is the automatic parking system. This is a technology in which the driver stops the car in front of the parking lot, turns off the engine, gets off, and presses the remote control lock switch twice in succession. am.

여덟 번째 적용 기술은 사각지대 정보 안내 시스템이다. 이는 자동차의 양측면에 장착된 센서가 사이드 미러로 보이지 않는 사각지대에 다른 차량이 있는지를 판단하여 운전자에게 경고를 해주는 것으로 복잡한 도로 상황에서 양측의 장애물 및 차량을 확인하여 차선을 변경하는 용도로 사용된다.The eighth application technology is a blind spot information guidance system. It is used to change lanes by checking obstacles and vehicles on both sides in complex road conditions, as sensors mounted on both sides of the car determine whether there is another vehicle in the blind spot that is not visible through the side mirrors and warn the driver. .

무인자동차의 가장 큰 장점은 주행속도와 교통 관리 자료가 일치하기 때문에 조절장치를 더욱 고르게 하여 반복정지를 피해 연료 효율에 도움을 준다는 것과 노인, 아동, 장애인 등 운전을 할 수 없는 이들도 이용할 수 있다는 것이다. 이외에도 장시간 운전으로 인한 피로를 해결해주고, 교통사고의 위험을 크게 줄일 수 있는 것과 도로의 교통 흐름이 빨라지고 교통 혼잡을 줄일 수 있다는 장점이 있다.The biggest advantage of driverless cars is that they help fuel efficiency by avoiding repeated stops by making the control device more even because the driving speed and traffic management data match. will be. In addition, it has the advantages of solving fatigue caused by long-term driving, greatly reducing the risk of traffic accidents, speeding up road traffic flow, and reducing traffic congestion.

이러한 자율주행 차량이 앞으로 일반화되는 경우, 차량 공유 서비스가 보다 활발히 진행될 뿐만 아니라, 자율주행 차량의 완전 자율주행 상황에서 차량 탑승자의 신체에 긴급한 상황이 발생할 수 있다. 특히 차량 탑승자가 미성년자나 어린이를 포함하는 노약자가 탑승하는 경우 응급상황에 대한 처리가 문제시될 수 있다.When such autonomous vehicles become common in the future, not only will the vehicle sharing service proceed more actively, but also, an emergency may occur in the body of a vehicle occupant in a fully autonomous driving situation of the autonomous vehicle. In particular, handling of emergency situations may be a problem if the vehicle occupants are elderly persons including minors or children.

이에 따라, 해당 기술 분야에 있어서는 자율주행 차량에 탑승한 탑승자가 위급한 상황에서 자율주행 차량에 대한 자동 인식을 기반으로 서비스를 제공하기 위한 기술개발이 요구되고 있다.Accordingly, in the field of technology, there is a demand for technology development for providing a service based on automatic recognition of an autonomous vehicle in an emergency situation to an occupant in the autonomous vehicle.

대한민국 특허출원 출원번호 제10-2018-0004940호 "자율주행차량을 이용한 가상 계좌 연계 인공지능 통합 서비스 제공 시스템 및 방법(SYSTEM AND METHOD FOR PROVIDING INTEGRATED ARTIFICIAL INTELLIGENCE SERVICE INTERWORKING VIRTUAL ACCOUNT USING SELF-DRIVING VEHICLE)"Korean Patent Application No. 10-2018-0004940 "SYSTEM AND METHOD FOR PROVIDING INTEGRATED ARTIFICIAL INTELLIGENCE SERVICE INTERWORKING VIRTUAL ACCOUNT USING SELF-DRIVING VEHICLE"

본 발명은 상기한 종래기술의 문제점을 해결하기 위한 것으로서, 본 발명의 목적은 자율주행 차량이 탑승자의 신체 상태를 감지하고 이상 징후가 발생되는 경우에 신속하게 진료 및 처치하도록 하여 탑승객의 안전을 극대화시키면서 효율적으로 자율주행 차량도 운행하도록 하는 자율주행 차량의 원격 진료 시스템을 제공한다. The present invention is to solve the problems of the prior art, and an object of the present invention is to maximize the safety of passengers by enabling an autonomous vehicle to detect a occupant's physical condition and promptly provide medical treatment and treatment when abnormal symptoms occur It provides a remote medical treatment system for autonomous vehicles that enables efficient operation of autonomous vehicles while also providing an autonomous driving system.

본 발명의 일 측면에 따른 자율주행 차량의 원격 진료 시스템은 사용자의 생체신호 또는 이미지를 수집하는 감지부, 및 주행 경로를 산출하고 구동을 제어하는 제어부,를 포함하는 자율주행 차량 및 수집된 생체신호 또는 이미지를 수신하는 진단서버;를 포함하고, 상기 진단서버는 수집된 생체신호 또는 이미지의 이상 여부를 1차 판단하는 제1진단서버와 이러한 이상 여부에 대하여 확정 판단하는 제2진단서버를 포함하여 이루어진다. A remote medical treatment system for an autonomous vehicle according to an aspect of the present invention includes an autonomous vehicle and the collected biosignals, comprising: a sensing unit that collects a user's biosignals or images; and a controller that calculates a driving route and controls driving; or a diagnosis server for receiving an image, wherein the diagnosis server includes a first diagnosis server that first determines whether there is an abnormality in the collected biosignal or image, and a second diagnosis server that determines whether there is an abnormality is done

이때, 상기 제2진단서버는 진료자의 확정 판단 입력에 의해 생체신호 또는의 이미지의 이상 여부를 확정 판단할 수 있다. In this case, the second diagnosis server may determine whether the biosignal or the image is abnormal according to the patient's final determination input.

또한, 상기 제1진단서버에서 생체신호 또는 이미지의 이상 여부를 1차 판단하고 상기 제2진단서버에서 이상 여부를 확정하는 경우에 상기 제어부는 주행 경로를 변동시킬 수 있다. In addition, when the first diagnosis server first determines whether a biosignal or image is abnormal and the second diagnosis server determines whether there is an abnormality, the controller may change the driving route.

또한, 상기 자율주행 차량의 원격 진료 시스템은 의약서버를 더 포함하고, 상기 제2진단서버가 이상 여부를 확정하는 경우에 상기 의약서버는 상기 자율주행 차량의 주행 경로 또는 주행 경로와 인접한 경로의 약국에 처방전을 송신할 수 있다. In addition, the remote medical treatment system of the autonomous vehicle may further include a medicine server, and when the second diagnosis server determines whether there is an abnormality, the medicine server is configured to operate on the driving path of the autonomous vehicle or a pharmacy on a path adjacent to the driving path. You can send a prescription to

또한, 상기 자율주행 차량의 원격 진료 시스템은 병원를 더 포함하고, 상기 제2진단서버가 이상 여부를 확정하고, 상기 제1진단서버가 생체신호 또는 사용자 이미지의 추가 이상 여부를 감지하는 경우에 제1진단서버는 상기 자율주행 차량의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출할 수 있다. In addition, the remote medical treatment system of the autonomous vehicle further includes a hospital, and when the second diagnosis server determines whether an abnormality is The diagnosis server may transmit a control signal for converting the driving destination of the autonomous vehicle to a hospital located the shortest distance from the current driving route.

또한, 상기 자율주행 차량은 출력부를 더 포함하고, 상기 자율주행 차량의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출하는 경우에 상기 표시부는 응급 상황 표시 또는 응급 상황 음향을 출력할 수 있다. In addition, the autonomous driving vehicle further includes an output unit, and when transmitting a control signal for converting a driving destination of the autonomous driving vehicle to a hospital located at the shortest distance from the current driving route, the display unit displays an emergency situation or an emergency situation sound can be printed out.

본 발명은 자율주행 차량이 탑승자의 신체 상태를 감지하고 이상 징후가 발생되는 경우에 주행 경로를 변동하여 신속하게 진료 및 처치하도록 하여 탑승객의 안전을 극대화시키고 평상시 효율적인 자율주행 차량의 운행을 함께 도모한다. The present invention maximizes the safety of passengers and promotes efficient operation of the autonomous vehicle in normal times by allowing the autonomous vehicle to detect the body condition of the occupant and promptly provide medical treatment and treatment by changing the driving route when an abnormal symptom occurs. .

도 1a 내지 도 1h는 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템의 유저시나리오를 설명하는 도면이다.
도 2는 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템의 구성도이다.
도 3은 도 2에서의 감지부를 더욱 상세히 도시한 구성도이다.
도 4는 도 2에서의 제어부를 더욱 상세히 도시한 구성도이다.
1A to 1H are diagrams for explaining a user scenario of a remote medical treatment system for an autonomous vehicle according to an embodiment of the present invention.
2 is a configuration diagram of a remote medical treatment system for an autonomous vehicle according to an embodiment of the present invention.
FIG. 3 is a configuration diagram illustrating the sensing unit of FIG. 2 in more detail.
4 is a configuration diagram illustrating the control unit in FIG. 2 in more detail.

이하, 첨부한 도면을 참조하여 본 발명의 실시예에 대하여 당업자가 용이하게 실시할 수 있도록 상세히 설명한다. 본 발명은 다양한 변경을 가할 수 있고 여러 가지 실시예를 가질 수 있는 바, 특정 실시예들을 도면에 예시하여 상세하게 설명한다. 그러나, 이는 본 발명을 특정한 실시 형태에 대해 한정하려는 것이 아니며, 본 발명의 사상 및 기술 범위에 포함되는 모든 변경, 균등물 내지 대체물을 포함하는 것으로 이해되어야 한다.Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and it should be understood to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

제1, 제2 등과 같이 서수를 포함하는 용어는 다양한 구성요소들을 설명하는데 사용될 수 있지만, 상기 구성요소들은 상기 용어들에 의해 한정되지는 않는다. 상기 용어들은 하나의 구성요소를 다른 구성요소로부터 구별하는 목적으로만 사용된다. Terms including an ordinal number such as 1st, 2nd, etc. may be used to describe various elements, but the elements are not limited by the terms. The above terms are used only for the purpose of distinguishing one component from another.

예를 들어, 본 발명의 권리 범위를 벗어나지 않으면서 제1 구성요소는 제2 구성요소로 명명될 수 있고, 유사하게 제2 구성요소도 제1 구성요소로 명명될 수 있다. 및/또는 이라는 용어는 복수의 관련된 기재된 항목들의 조합 또는 복수의 관련된 기재된 항목들 중의 어느 항목을 포함한다.For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component. and/or includes a combination of a plurality of related listed items or any of a plurality of related listed items.

다르게 정의되지 않는 한, 기술적이거나 과학적인 용어를 포함해서 여기서 사용되는 모든 용어들은 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에 의해 일반적으로 이해되는 것과 동일한 의미를 가지고 있다. 일반적으로 사용되는 사전에 정의되어 있는 것과 같은 용어들은 관련 기술의 문맥 상 가지는 의미와 일치하는 의미를 가지는 것으로 해석되어야 하며, 본 출원에서 명백하게 정의하지 않는 한, 이상적이거나 과도하게 형식적인 의미로 해석되지 않는다.Unless defined otherwise, all terms used herein, including technical and scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

이하, 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템(1000)에 대하여 개략적으로 설명한다. 도 1a 내지 도 1h는 본 발명의 일 실시예에 따른 자율주행 차량의 충전 시스템의 유저시나리오를 설명하는 도면이다. Hereinafter, a remote medical treatment system 1000 for an autonomous vehicle according to an embodiment of the present invention will be schematically described. 1A to 1H are diagrams for explaining a user scenario of a charging system for an autonomous vehicle according to an embodiment of the present invention.

우선, 도 1a에서와 같이 사용자는 평상 시와 같이 자율주행 차량을 호출하고 탑승하게 된다. 도 1b에서와 같이 탑승 후 자율주행 차량의 감지부는 사용자의 생체 신호인 체온, 혈압 백박 등을 수집하고 사용자의 안면 인식을 통해 사용자의 건강 상태를 수집하게 된다. First, as shown in FIG. 1A , the user calls and boards the autonomous vehicle as usual. As shown in FIG. 1B , the sensing unit of the autonomous vehicle after boarding collects the user's biosignals, such as body temperature and blood pressure, and collects the user's health status through the user's face recognition.

이때, 도 1c에서와 같이 수집한 생체 신호 등은 제1진단서버에 송부한다. 제1진단서버는 어플리케이션 프로세서로 구성되어 무인으로 상태를 판정할 수 있지만 의료진의 소견은 개입되지 않은 판정을 수행한다. 제1진단서버는 이상 여부가 판정되는 경우에는 이를 제2진단서버로 송신한다. 도 1d를 참조하면, 제2진단서버와 연계된 의료진에게 생체 신호 데이터, 사용자의 이미지 데이터, 및 제1진단서버의 1차 판정 의견이 송부된다. 이 경우 도 1e에서와 같이 의료진과 원격으로 상담하는 것이 가능한데 의료진이 이상 여부에 대하여 확정 판단을 하는 경우에는 처방전을 전송하게 된다. At this time, as shown in FIG. 1C, the collected bio-signals are transmitted to the first diagnosis server. The first diagnosis server is composed of an application processor and can determine the state unattended, but the opinion of the medical staff is not intervened. When the first diagnosis server determines whether there is an abnormality, it transmits it to the second diagnosis server. Referring to FIG. 1D , the biosignal data, the user's image data, and the first judgment opinion of the first diagnosis server are transmitted to the medical staff associated with the second diagnosis server. In this case, as shown in FIG. 1E , it is possible to consult with the medical staff remotely. When the medical staff makes a final determination as to whether there is an abnormality, the prescription is transmitted.

이러한 처방전은 자율주행 차량의 경로 상 또는 경로에 인접하게 위치한 약국에 전송되게 되고 사용자는 주행 경로의 큰 변동 없이 약품을 수령할 수 있게 된다. 이때, 의료진의 이상 여부에 대하여 확정 판단을 하고증세가 위중하거나 혼수상태 등의 심각한 상황이 발생한 경우에 자율주행 차량은 주행 경로에 인접한 응급센터로 주행되도록 하게 된다. Such a prescription will be transmitted to a pharmacy located on or adjacent to the route of the autonomous vehicle, and the user will be able to receive the drug without significant change in the driving route. At this time, the medical staff makes a definitive judgment on whether there is an abnormality, and when a serious condition such as a serious condition or a coma occurs, the autonomous vehicle is driven to an emergency center adjacent to the driving route.

이상과 같은 유저시나리오를 구현하기 위한 본 실시예에 따른 자율주행 차량의 원격 진료 시스템을 보다 구체적으로 설명한다. The remote medical treatment system of the autonomous vehicle according to the present embodiment for implementing the user scenario as described above will be described in more detail.

도 2는 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템의 구성도이고, 도 3은 도 2에서의 감지부를 더욱 상세히 도시한 구성도이며, 도 4는 도 2에서의 제어부를 더욱 상세히 도시한 구성도이다. 2 is a configuration diagram of a remote medical treatment system for an autonomous vehicle according to an embodiment of the present invention, FIG. 3 is a configuration diagram illustrating the sensing unit in FIG. 2 in more detail, and FIG. 4 is a diagram showing the control unit in FIG. 2 in more detail. It is a configuration diagram showing in detail.

우선 도 2를 참조하면, 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템(1000)은 사용자(10)가 탑승하는 자율주행 차량(100), 제1진단버서(200), 제2진단서버(300), 의약서버(400) 및 응급센터(500)를 포함하여 이루어진다. First, referring to FIG. 2 , the remote medical treatment system 1000 of an autonomous driving vehicle according to an embodiment of the present invention includes an autonomous driving vehicle 100 in which a user 10 rides, a first diagnosis server 200, and a second A diagnosis server 300 , a medicine server 400 , and an emergency center 500 are included.

우선 도 3을 참조하면, 자율주행 차량(100)은 입력부(110), 감지부(120), 출력부(130), 제어부(140), 통신부(150) 및 구동부(160)를 포함하여 이루어진다. First, referring to FIG. 3 , the autonomous vehicle 100 includes an input unit 110 , a sensing unit 120 , an output unit 130 , a control unit 140 , a communication unit 150 , and a driving unit 160 .

입력부(110)는 자율주행 차량(100)의 목적지를 입력하는 역할을 수행한다. 이때, 통신부(150)를 통해 인증된 사용자단말(미도시)도 목적지를 입력할 수 있다. The input unit 110 serves to input a destination of the autonomous vehicle 100 . At this time, a user terminal (not shown) authenticated through the communication unit 150 may also input a destination.

도 3을 참조하면, 감지부(120)는 자율주행에 필요한 교통상황을 감지하고 사용자의 생체 신호 또는 이미지를 촬상하는 역할을 수행한다. 우선, 감지부(120)는 레이더(121) 및 라이다(122)를 포함하고, 카메라(123)를 더 포함하여 이루어질 수 있다. Referring to FIG. 3 , the sensing unit 120 detects a traffic situation necessary for autonomous driving and serves to capture a user's biosignal or image. First, the sensing unit 120 may include a radar 121 and a lidar 122 , and may further include a camera 123 .

레이더(121)는 자율주행 차량(100)에 안테나를 장착하여 레이더 탐지 동작을 수행하면서 무인으로 이동 가능한 장치를 의미한다. 레이더(121)는 구비된 안테나를 이용하여 레이더 탐지 동작만을 수행하는 것에 한정되는 것은 아니며, 라이다(122) 및 카메라(123)와 같이 주변 환경을 센싱할 수 있는 복수의 센서 또는 복합 센서와 같은 형태로 구현될 수 있다. 또한, 레이더(121)는 주변 환경을 센싱하여 주변 센싱정보를 생성하고, 주변 센싱정보를 기반으로 주행 방향에 존재하는 장애물인 도로, 타차량, 사람 및 건물 등의 무생물을 판단한다. The radar 121 refers to a device capable of moving unmanned while performing a radar detection operation by mounting an antenna on the autonomous vehicle 100 . The radar 121 is not limited to performing only a radar detection operation using the provided antenna, and such as a plurality of sensors or complex sensors capable of sensing the surrounding environment, such as the lidar 122 and the camera 123 . It can be implemented in the form In addition, the radar 121 generates surrounding sensing information by sensing the surrounding environment, and determines inanimate objects such as roads, other vehicles, people, and buildings that are obstacles in the driving direction based on the surrounding sensing information.

라이다(122)는 레이저 펄스를 발사하고, 그 빛이 주위의 대상 물체에서 반사되어 돌아오는 것을 받아 물체까지의 거리 등을 측정함으로써 주변의 모습을 정밀하게 그려내는 장치이다. 라이다(122)는 레이저 펄스를 지표면에 발사해서 돌아오는 시간을 측정함으로써 반사 지점의 공간 위치를 분석하여 지형을 측량하면, 구조물에 따라 반사되어 돌아오는 시간이 다르므로 이로부터 광학영상으로는 얻기 어려운 3차원 모델을 얻을 수 있다. The lidar 122 is a device that precisely draws a surrounding state by emitting a laser pulse, receiving the light reflected from the surrounding target object, and measuring the distance to the object. The lidar 122 emits a laser pulse to the ground surface and measures the return time by analyzing the spatial position of the reflection point to measure the topography, and the reflected return time is different depending on the structure. A difficult three-dimensional model can be obtained.

라이다(122)는 레이저, 스캐너, 수신기, 위치 확인 시스템으로 이루어지는데, 레이저의 파장은 600-1000nm을 사용한다. 스캐너는 주위를 재빠르게 훑어서 정보를 얻도록 하는 부분이다. 수신기는 돌아오는 빛을 감지하는 부분으로, 수신기가 가지는 빛에 대한 민감도는 라이다(122)의 성능을 좌우하는 주요한 요인이다. The lidar 122 is composed of a laser, a scanner, a receiver, and a positioning system, and the wavelength of the laser is 600-1000 nm. The scanner is the part that lets you quickly scan your surroundings to get information. The receiver is a part that detects the returning light, and the sensitivity to the light of the receiver is a major factor influencing the performance of the lidar 122 .

또한, 감지부(120)는 자율주행 차량의 위치 정보를 활용해야 되므로 GPS(124)를 필수적으로 더 포함한다. 나아가, 감지부(120)는 탑승자가 조향 작동을 수행하지 않더라도 음성 등으로 자율주행에 개입하기 위해 마이크(125)를 더 구비할 수 있다.In addition, since the sensing unit 120 needs to utilize location information of the autonomous vehicle, the GPS 124 is essentially further included. Furthermore, the sensing unit 120 may further include a microphone 125 to intervene in autonomous driving with a voice or the like even if the passenger does not perform a steering operation.

한편, 본 발명의 일 실시예에 따른 자율주행 차량의 원격 진료 시스템은 생체정보센서(126)을 필수적으로 구비한다. 생체정보센서(126)은 탑승자의 체온, 심박, 협압, 뇌파 등을 센싱하여 제1진단서버(200)로 전송한다. 이 경우 차량의 내부에 배치된 또 다른 카메라(123)는 사용자의 이미지를 촬상한다. Meanwhile, the remote medical treatment system for an autonomous vehicle according to an embodiment of the present invention is essentially provided with a biometric information sensor 126 . The biometric information sensor 126 senses the body temperature, heartbeat, pinching pressure, brain waves, etc. of the passenger and transmits the sensed information to the first diagnosis server 200 . In this case, another camera 123 disposed inside the vehicle captures an image of the user.

촬상된 이미지는 응급상황 비교 영상 이미지 간의 비교를 위해 제1진단서버(200)에 저장된 다양한 응급상황 비교 영상이미지 패턴을 활용할 수 있다. 즉, 제1진단서버(200)0는 다양한 응급상황 비교 영상이미지 패턴, 각 응급상황 비교 영상이미지 패턴의 미리 설정된 각도로 기울어진 것, 역으로 된 것 등과 수신된 영상 이미지와의 패턴 비교를 통해 이상 여부 또는 응급 상황인지 여부를 판별할 수 있다.The captured images may utilize various emergency situation comparison image image patterns stored in the first diagnosis server 200 for comparison between emergency situation comparison image images. That is, the first diagnosis server 200 0 compares various emergency situation comparison video image patterns, those inclined at a preset angle of each emergency situation comparison video image pattern, and the reversed ones, etc. with the received video image through pattern comparison. It can be determined whether there is an abnormality or an emergency situation.

도 4를 참조하면, 제어부(140)는 자율주행 차량(100)의 구동을 제어하는데, 경로산출모듈(141), 경로변동모듈(142), 및 긴급이송모듈(143)을 포함하여 이루어진다. 경로산출모듈(141)은 최초 입력된 목적지에 따라 자율주행 차량의 주행 경로를 설정하는 것을 말한다. 그런데, 본 실시예에 따른 자율주행 차량의 원격 진료 시스템(1000)은 사용자의 응급 상황 등에 따라 항상 주행 경로가 변동될 가능성이 있으므로 경로변동모듈(142)을 필수적으로 포함한다. Referring to FIG. 4 , the controller 140 controls the driving of the autonomous vehicle 100 , and includes a route calculation module 141 , a route change module 142 , and an emergency transfer module 143 . The route calculation module 141 refers to setting the driving route of the autonomous vehicle according to the first input destination. However, the remote medical treatment system 1000 of the autonomous vehicle according to the present embodiment necessarily includes the route change module 142 because there is a possibility that the driving route is always changed according to the user's emergency situation.

즉, 제1진단서버(200)에서 이상여부가 1차 판단되지 않는 경우와 제2진단서버(300)에서 이상 여부에 대해 확정되지 않은 경우에는 경로가 변동될 필요가 없으나, 제2진단서버(200)에서 이상여부가 확정되는 경우에는 의약품의 수령이나 병원으로의 자율이송을 위해 경로가 변동되어야 한다. 따라서, 경로변동모듈(142)은 이러한 경우에 제1진단서버(200)(또는 제2진단서버(300))가 송출하는 제어신호로부터 경로를 주행 경로 또는 주행 경로에서 최단 거리에 위치한 약국이나 병원으로 변동한다. 주행 경로 상에 변동되는 목적지가 위치한 경우에는 별도로 주행 경로를 변경할 필요가 없음은 물론이다. That is, when the first diagnosis server 200 does not determine whether an abnormality is first and the second diagnosis server 300 does not determine whether there is an abnormality, the path does not need to be changed, but the second diagnosis server 200 ), the route must be changed for receiving medicines or for autonomous transport to hospitals. Accordingly, in this case, the route change module 142 determines the route from the control signal transmitted by the first diagnostic server 200 (or the second diagnostic server 300 ) to the driving route or the pharmacy or hospital located at the shortest distance from the driving route. change to Of course, there is no need to separately change the driving route when a variable destination is located on the driving route.

긴급이송모듈(143)은 제2진단서버(300)에서 이상 여부를 확정한 이후이거나 그 이전이라도 감지한 사용자의 생체신호 및 카메라 촬상 이미지에서 의식불명 등의 사정이 감지되는 경우에 차량의 출력부(130)를 제어하여 응급 상황 표시 또는 응급 상황 음향을 출력하고, 제1진단서버(200)는 자율주행 차량의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출한다. 이때, 즉각적 판단을 위해서 제1진단서버(200)가 제어신호를 송출하는 것이 더욱 바람직하다. The emergency transfer module 143 is the output unit of the vehicle when a situation such as unconsciousness is detected in the user's bio-signals and camera-captured images detected after or before the second diagnosis server 300 determines whether there is an abnormality. Control 130 to output an emergency situation display or emergency situation sound, and the first diagnosis server 200 transmits a control signal for converting the driving destination of the autonomous vehicle to a hospital located the shortest distance from the current driving route. In this case, it is more preferable that the first diagnosis server 200 transmits a control signal for immediate determination.

진단서버는 앞에서 설명한 바와 같이 수집된 생체신호 또는 이미지를 수신하여 분석하는데, 이상 여부를 1차 판단하는 제1진단서버(200)와 이러한 이상 여부를 확정 판단하는 제2진단서버(300)로 이루어진다. The diagnosis server receives and analyzes the collected bio-signals or images as described above, and consists of a first diagnosis server 200 that first determines whether there is an abnormality and a second diagnosis server 300 that determines whether there is an abnormality. .

제1진단서버(200) 어플리케이션 프로세서로 구성되어 무인으로 사용자의 상태를 판정할 수 있지만 의료진의 소견은 개입되지 않은 판정을 수행한다. 따라서, 제1진단서버(200)는 이상 여부가 판정되는 경우에는 이를 제2진단서버로 송신한다. 이때, 제2진단서버(200)와 연계된 의료진에게 생체 신호 데이터, 사용자의 이미지 데이터, 및 제1진단서버의 1차 판정 의견이 송부된다. The first diagnosis server 200 is composed of an application processor so that the user's state can be determined unattended, but the opinion of the medical staff is not intervened. Accordingly, when it is determined whether there is an abnormality, the first diagnosis server 200 transmits it to the second diagnosis server. At this time, the biosignal data, the user's image data, and the first judgment opinion of the first diagnosis server are transmitted to the medical staff associated with the second diagnosis server 200 .

이 경우 전술한 바와 같이 의료진과 원격으로 상담하는 것이 가능한데 의료진이 이상 여부에 대하여 확정 판단을 하는 경우에는 처방전을 전송하게 되고 전술한 제어부(140)에서는 처방전의 수령을 위해 주행 경로를 변동시킬 수 있게 된다. 이 경우에 진단서버는 연계된 의약서버(400)가 구비되는데, 의약서버(400)는 자율주행 차량의 주행 경로 또는 주행 경로와 인접한 경로의 약국에 처방전을 송신하게 된다. 따라서, 자율주행 차량은 별도의 장거리 이동없이도 주행 경로 또는 이와 인접한 장소에서 의약을 수령할 수 있게 된다. In this case, as described above, it is possible to consult remotely with the medical staff. When the medical staff makes a final determination as to whether there is an abnormality, the prescription is transmitted, and the above-described control unit 140 can change the driving route to receive the prescription. do. In this case, the diagnosis server is provided with an associated medicine server 400, and the medicine server 400 transmits a prescription to a pharmacy on a driving route of an autonomous vehicle or a route adjacent to the driving route. Accordingly, the autonomous vehicle can receive the medicine on the driving route or in a place adjacent thereto without a separate long-distance movement.

또한, 본 실시예에 따른 자율주행 차량의 원격 진료 시스템(1000)은 병원(500)를 더 포함하는데, 제2진단서버(300)가 이상 여부를 확정하고(혹은 그 이전이라도), 제1진단서버(200)가 생체신호 또는 사용자 이미지의 추가 이상 여부를 감지하는 경우에는 전술한 바와 같이 제1진단서버(200)는 자율주행 차량(100)의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출한다. 따라서, 응급환자의 신속한 이송을 도모하도록 한다. In addition, the remote medical treatment system 1000 of the autonomous vehicle according to the present embodiment further includes a hospital 500, the second diagnosis server 300 determines whether there is an abnormality (or even before that), and performs the first diagnosis When the server 200 detects whether there is an additional abnormality in the biosignal or the user image, as described above, the first diagnosis server 200 sets the driving destination of the autonomous vehicle 100 to the hospital located the shortest distance from the current driving route. It transmits a control signal that converts to Therefore, it is intended to promote the rapid transport of emergency patients.

이상과 같이, 본 명세서와 도면에는 본 발명의 바람직한 실시예에 대하여 개시하였으며, 비록 특정 용어들이 사용되었으나, 이는 단지 본 발명의 기술 내용을 쉽게 설명하고 발명의 이해를 돕기 위한 일반적인 의미에서 사용된 것이지, 본 발명의 범위를 한정하고자 하는 것은 아니다. 여기에 개시된 실시예 외에도 본 발명의 기술적 사상에 바탕을 둔 다른 변형 예들이 실시 가능하다는 것은 본 발명이 속하는 기술 분야에서 통상의 지식을 가진 자에게 자명한 것이다.As described above, preferred embodiments of the present invention have been disclosed in the present specification and drawings, and although specific terms are used, these are only used in a general sense to easily explain the technical content of the present invention and help the understanding of the present invention. , it is not intended to limit the scope of the present invention. It will be apparent to those of ordinary skill in the art to which the present invention pertains that other modifications based on the technical spirit of the present invention can be implemented in addition to the embodiments disclosed herein.

10: 사용자
100: 자율주행 차량
110: 입력부
120: 감지부
121: 레이더
122: 라이다
123: 카메라
124: GPS
125: 마이크
126: 생체정보센서
130: 출력부
140: 제어부
141: 경로산출모듈
142: 경로변동모듈
143: 긴급이송모듈
150: 통신부
160: 구동부
200: 제1진단서버
300: 제2진단서버
400: 의약서버
500: 응급센터
10: user
100: autonomous vehicle
110: input unit
120: detection unit
121: radar
122: lidar
123: camera
124: GPS
125: microphone
126: biometric information sensor
130: output unit
140: control unit
141: path calculation module
142: path change module
143: emergency transfer module
150: communication department
160: driving unit
200: first diagnosis server
300: second diagnosis server
400: medicine server
500: emergency center

Claims (6)

사용자의 생체신호 또는 이미지를 수집하는 감지부, 및 주행 경로를 산출하고 구동을 제어하는 제어부,를 포함하는 자율주행 차량; 및
수집된 생체신호 또는 이미지를 수신하는 진단서버;를 포함하고,
상기 진단서버는 수집된 생체신호 또는 이미지의 이상 여부를 1차 판단하는 제1진단서버와 이러한 이상 여부에 대하여 확정 판단하는 제2진단서버를 포함하여 이루어지는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
An autonomous driving vehicle comprising: a sensing unit that collects a user's bio-signals or images; and a control unit that calculates a driving route and controls driving; and
Including; a diagnostic server for receiving the collected bio-signals or images;
wherein the diagnosis server comprises a first diagnosis server that first determines whether there is an abnormality in the collected bio-signals or images, and a second diagnosis server that determines whether there is an abnormality in the collected biosignal or image. .
제1항에 있어서,
상기 제2진단서버는 진료자의 확정 판단 입력에 의해 생체신호 또는의 이미지의 이상 여부를 확정 판단하는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
The method of claim 1,
The second diagnosis server is a remote medical treatment system for an autonomous vehicle, characterized in that it determines whether there is an abnormality in the biosignal or the image by the patient's confirmation input.
제1항에 있어서,
상기 제1진단서버에서 생체신호 또는 이미지의 이상 여부를 1차 판단하고 상기 제2진단서버에서 이상 여부를 확정하는 경우에 상기 제어부는 주행 경로를 변동시키는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
According to claim 1,
The remote medical treatment system for an autonomous vehicle, characterized in that when the first diagnosis server first determines whether there is an abnormality in the biosignal or image and the second diagnosis server determines whether there is an abnormality, the control unit changes the driving route .
제1항에 있어서,
상기 자율주행 차량의 원격 진료 시스템은 의약서버를 더 포함하고,
상기 제2진단서버가 이상 여부를 확정하는 경우에 상기 의약서버는 상기 자율주행 차량의 주행 경로 또는 주행 경로와 인접한 경로의 약국에 처방전을 송신하는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
The method of claim 1,
The remote medical treatment system of the autonomous vehicle further includes a medicine server,
The remote medical treatment system for an autonomous vehicle, characterized in that when the second diagnosis server determines whether there is an abnormality, the medicine server transmits a prescription to a pharmacy on a driving route of the autonomous vehicle or a route adjacent to the driving route.
제1항에 있어서,
상기 자율주행 차량의 원격 진료 시스템은 병원를 더 포함하고,
상기 제2진단서버가 이상 여부를 확정하고, 상기 제1진단서버가 생체신호 또는 사용자 이미지의 추가 이상 여부를 감지하는 경우에 제1진단서버는 상기 자율주행 차량의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출하는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
According to claim 1,
The remote medical treatment system of the autonomous vehicle further includes a hospital,
When the second diagnosis server determines whether there is an abnormality and the first diagnosis server detects whether there is an additional abnormality in the biosignal or the user image, the first diagnosis server sets the driving destination of the autonomous vehicle as the current driving route and the shortest A remote medical treatment system for an autonomous vehicle, characterized in that it transmits a control signal that is converted to a hospital located on the street.
제5항에 있어서,
상기 자율주행 차량은 출력부를 더 포함하고,
상기 자율주행 차량의 주행 목적지를 현재 주행 경로와 최단 거리에 위치한 병원으로 변환하는 제어신호를 송출하는 경우에 상기 표시부는 응급 상황 표시 또는 응급 상황 음향을 출력하는 것을 특징으로 하는 자율주행 차량의 원격 진료 시스템.
6. The method of claim 5,
The autonomous vehicle further includes an output unit,
When transmitting a control signal that converts the driving destination of the autonomous vehicle to a hospital located the shortest distance from the current driving route, the display unit outputs an emergency situation display or emergency situation sound system.
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