본 발명의 일 실시예에 따른 항온동물 탐지 및 접근 예지 학습을 통한 충돌 위험 알림 시스템은 물체 접근시 1차적으로 라이다 센서로 감지하여 접근 거리를 산출하고, 2차적으로 이미지 센서를 활용하여 촬영된 영상으로 물체를 탐지할 수 있으며, 상기 촬영된 영상으로 탐지되어 식별된 물체가 항온 동물에 해당하는 경우, 주변 운전자의 차량 충돌 위험 여부를 판단할 수 있으며, 충돌 위험으로 판단시 식별된 해당 물체의 종류, 접근 방향 및 접근 거리에 따른 단계별 미리 설정된 경고 알람을 출력하거나, 통신망을 통하여 운전자 단말기에 경고 알람을 전송하여 출력할 수 있는 것을 특징으로 한다.
According to an embodiment of the present invention, a system for notifying a risk of collision through the warm-blooded animal detection and approach predictive training is able to firstly detect an approaching object by a LiDAR sensor, calculate the approach distance, detect the object by an image photographed by secondly using an image sensor, and determine whether there is a risk of collision between a vehicle of a surrounding driver and the identified object by the photographed image if the detected object is a warm-blooded animal. The system is also able to output a preset warning alarm for each stage in accordance with the type, approach direction and distance of the relevant identified object or transmit and output a warning alarm to a driver's mobile device through a communication network when it is determined that there is a risk of collision. Therefore, accidents and the subsequent loss of lives can be prevented.
Collision risk notification system and method through warm-blooded animal detection and approach predictive learning
항온동물 탐지 및 접근 예지 학습을 통한 충돌 위험 알림 시스템 및 방법
2024-04-17
Patent
Electronic Resource
Korean
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