内河水路交通流参数获取是当前发展内河水路交通智能的关键问题之一。提出一种基于视觉测量的水路交通流参数获取方法，采用视觉传感器获取航道全景图像，提取感兴趣对象（船舶），建立视觉测量模型，获取多视角下船舶几何特征参数，建立CCD视觉传感器获取图像信息和基于知识库的广义传感器信息融合模型，计算和决策水路交通参数，如船舶吨位、船舶类型、船舶速度、航道占有率、通航密度、船舶安全状态评估等重要水路交通基础参数，为航运交通管理部门进行水路交通管理、规划和决策提供依据。实验结果表明，系统可实现对水路交通流参数的可靠获取，满足工程应用要求。

Acquiring traffic flow parameters of inland waterway is one key issue in developing intelligent inland waterway transport system. The paper proposes a method of vision measurement to acquire waterway traffic flow parameters. It uses vision sensors to capture panoramic view image of channel, extracts interested objects (ships), and establishes visual perception measurement model for acquiring geometric parameters of the ship under multi-view. A model which used CCD vision sensors to capture image information and broad knowledge-based sensors to fuse information is constructed and is used to compute water transport parameters, including the tonnage of ships, ship types, ship speed, occupancy rate of waterway, traffic density, the security state of ships, and other basic parameters of important waterway transport infrastructure, which serves as basis for traffic management, planning, and decision-making for waterway transport management sector. The results show that the system can obtain the traffic flow parameters of water access reliably, which meets the engineering requirements.