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유풍 ( Feng Liu ),황환철 ( Hwan-cheol Hwang ) 산업혁신경영연구원 2023 산업혁신경영연구 Vol.4 No.2
Currently, in Chinese society, which has achieved unprecedented economic growth in the world, social issues such as unemployment, poverty, income polarization, aging, environmental pollution, and rural devastation are emerging. Meanwhile, social enterprises that have emerged to solve social challenges are attracting attention. Chinese social enterprises have gone through an introduction and early development stage since 2004 and entered a rapid development stage since 2010, and institutional support and norms for social enterprises are continuously improving. The development and growth of Chinese social enterprises face various problems, including lack of funds and resources, unreasonable structures, and dependence on the government or foundations. In this study, we review the characteristics and growth process of Chinese social enterprises to objectively reflect the characteristics of commercial enterprises and at the same time improve strategic management performance by achieving the goals of the social enterprise organization and solving social problems, and reviewing the social and economic performance. and to contribute to practical development. Additionally, compared to Korea in Asia, China has not yet prepared support measures for social enterprises in general. China does not have a systematic legal basis to support social enterprises. In the case of China, in order to ensure the healthy development of social enterprises in a social structure where the government is strong and the society is weak, it is necessary to establish social enterprise development laws and government policies appropriate for fostering social enterprises.
다목적 바퀴형 이동로봇 플랫폼 개발 및 영상기반 비정형 환경 자율주행 기술 연구
심현재(Hyun-Jae Sim),김여호수아(Joshua Kim),홍준기(JunGee Hong),남승원(Seung-Won Nam),김용희(Yong-Hee Kim),허재(Jae Heo),황환철(Hwan-Cheol Hwang),김광기(Kwang-Ki Kim) 제어로봇시스템학회 2024 제어·로봇·시스템학회 논문지 Vol.30 No.9
In this paper, we present the development of a visual navigation and mobile robot platform designed for autonomous driving in outdoor unstructured environments. To address the challenges posed by outdoor environments, where inter-object features are ambiguous and environmental conditions are highly irregular, we apply a semantic segmentation technique to the mobile robot’s local navigation system, enabling it to move within a navigable region. A simplified segmentation structure is incorporated for processing large volumes of visual data and is integrated with vision-based control strategies to facilitate effective navigation planning. Additionally, we propose a supplementary method that involves road segmentation, which uses depth information to ensure stable and robust driving. Our research also includes the design of a wheeled mobile robot capable of operating in various environments, highlighting its practical applicability across diverse fields. The potential of this platform is validated through empirical evaluations conducted with self-developed real robots in various driving scenarios, demonstrating over 80% accuracy in navigable region classification and over 90% accuracy in road segmentation performance under dynamic conditions.