学校要闻
Good news! Kuala Lumpur University of Science and Technology (KLUST) has won the gold award in the "A-Super" Transportation Industry Innovation Competition
作为中国—东盟交通科技领域的重要交流平台，由中国广西壮族自治区交通运输厅主办的AI赋能千行百业超级联赛（简称“A超”）交通行业创新大赛近日在南宁落幕。大赛以“数智交通·通达未来”为主题，设置“AI+低空巡检”“AI+交通变革”两大核心赛道，奖项覆盖技术突破、应用价值、国际合作等多个维度。
As a key exchange platform for China–ASEAN transportation technology, the AI Empowerment for All Industries Super League (known as “A-Super”), organized by the Guangxi Zhuang Autonomous Region Department of Transport, concluded recently in Nanning.
With the theme “Smart Transportation · Connecting the Future,” the competition featured two core categories: “AI + Low-Altitude Inspection” and “AI + Transportation Transformation,” with awards spanning technological breakthroughs, application value, international collaboration, and more.
在“AI+低空巡检”赛道中，由吉隆坡科技大学（KLUST）研究生院院长塔底瓦教授等老师和中铁长江交通设计集团有限公司联合组队的参赛项目《低空+AI赋能的桥梁表观缺陷智慧巡检技术》荣获金奖。该项目构建了先进的桥梁无人机智能巡查体系，研发的具有自主知识产权的无人机系列产品，通过机载边缘端AI相机实时采集数据进行分析处理。
In the “AI + Low-Altitude Inspection” category, the joint team comprising lecturers from Kuala Lumpur University of Science and Technology (KLUST), led by Assoc Prof. Ts. Dr. Tadiwa Elisha Nyamasvisva, and China Railway Changjiang Transport Design Group Co., LTD., won the Gold Award for their project titled “Smart Bridge Surface Defect Inspection Technology Enabled by Low-Altitude UAV + AI.”
据了解，项目团队自研的无人机最大的技术创新有两个方面。一是解决了无信号情况下的飞控技术难题，采用多传感耦合定位算法，可以在有无卫星信号状况下稳定飞行、精准定位以及主动避障，定位精度为5cm。二是创新“三重AI识别”模式，即创新性构建了“端侧实时识别、边侧深度解析、云侧精准复核”的“端-边-云”一体化智能识别模式，进一步提升病害识别准确率。
According to reports, the team’s self-developed UAVs achieved two major technological innovations:
1.Breakthrough in flight control under zero-signal conditions – Using a multi-sensor fusion positioning algorithm, the UAV can maintain stable flight, precise positioning, and active obstacle avoidance regardless of satellite signal availability, with a positioning accuracy of 5 cm.
2.Innovative “Triple-AI Recognition” model – The team developed an integrated edge–near–cloud intelligent recognition framework combining real-time on-device identification, near-edge deep analysis, and cloud-level precision verification, significantly improving defect detection accuracy.
接下来，吉隆坡科技大学（KLUST）将通过数据驱动、算力支撑的交通变革新范式，持续聚焦AI在公路、铁路、水运、低空经济及物流等核心场景的落地应用，加强与中国高校、企业的产学研合作，推进应用型人才培养，推动更多科研成果转化落地，为区域交通高质量发展及中国—东盟交通合作注入强劲动能。（文/关云瑞）
Moving forward, KLUST will continue to drive transportation innovation through data-powered and AI-driven approaches, focusing on applying AI across key sectors such as highways, railways, water transport, low-altitude economy, and logistics. The university will strengthen industry–academia–research collaboration with Chinese universities and enterprises, advance applied talent development, and pushes the transformation of research to support high-quality regional transportation development and China–ASEAN cooperation. (Translation:Yiyi Chan)
