This paper proposes a method based on ground-based laser three-dimensional (3D) scanning and drone tilt photography to obtain the route point cloud and the true 3D situation around the route, addressing the difficulty of quickly and comprehensively obtaining the spatial relationship of the route and accurately and quantitatively determining the problem. For automatically and swiftly evaluating the spatial state of the route in the simulation environment, the point cloud matched by the enhanced Bursa algorithm and geographical coordinates of the 3D scenario are fused and transferred into the geographic information system platform. The experimental results suggested that laser 3D scanning and tilt photography can complement one other in data collection when using the created data fusion registration technique as an example. The accuracy of the enhanced Bursa algorithm may be raised by 10%--50% compared to the original Bursa algorithm, and the registration and fusion accuracy of the point cloud and 3D situation is better than ±2 cm. After fusion, the 3D effect is lifelike, spatial information is complete, and human-computer interaction is strong, which can quickly complete the fine measurement of the route.