This study proposes a method for creating learning datasets to recognize obstacles using
deep learning algorithms in automated construction machinery or an autonomous vehicle …

Drones are no longer being used for benevolent purposes. They are increasingly intruding
in the vicinity of strategic national facilities, such as airports, nuclear power plants, and …

Virtual testing is considered a major requirement for the safety verification of autonomous
driving functions. For virtual testing, both the autonomous vehicle and the driving …

Recently, the development of autonomous vehicles is accelerating. In order to realize fully
autonomous driving, it is important to evaluate and prove the safety of autonomous driving …

This paper presents a method to implement a low-cost driving simulator for developing
autonomous driving algorithms. This is implemented by using GTA V, a physical engine …

Abstract 3D Object Detection using deep neural network has been developed a lot for
obstacle detection in autonomous vehicles because it can recognize not only the class of …

자율주행 및 ADAS 기술이 발전함에 따라 딥러닝을 접목한 연구가 활발히 수행되고 있다.
그러나 자율주행에서 딥러닝 모델은 실제 주행환경에서 수집된 다양한 학습데이터를 요구하며 …

요 약본 논문은 자율주행 알고리즘 개발을 위한 저비용 드라이빙 시뮬레이터 구축 방법을
소개한다. 이는 물리엔진을 적용한 상용게임 소프트웨어인 GTA V 를 활용하여 구현되며 …

This paper proposes a method for constructing and verifying datasets used in deep learning
technology, to prevent safety accidents in automated construction machinery or autonomous …

요 약딥러닝 네트워크를 이용한 3 차원 객체 인식 기술은 자율주행 기술 개발에 있어 대상
객체의 종류 뿐만 아니라 센서로부터의 거리도인식할 수 있기 때문에 장애물 탐지를 위해 많이 …