Multi-perspective occlusion-free urban navigation visualization
Year: 2026
Type: article
Abstract: 3D navigation, by virtue of its realism, provides rich, authentic, and visually immersive information that closely approximates the physical world, playing a crucial role in domains such as commerce and scientific research. However, current 3D navigation systems face challenges including the separation of multi-view information and the occlusion of navigation routes. This paper presents an occlusion-free, multi-perspective visualization method for urban navigation routes. We introduce an undulating curve surface and, through computation of an information detail metric, demonstrate that our surface enables rapid transitions from the focus to the context and supports visualization of much larger scene extents within the same screen space, compared to a monotonic cylindrical surface. We further enhance scene information delivery by segmenting the navigation route and adjusting the camera’s tilt angle and field of view to match different surface parameters. To eliminate occlusion of the navigation route, we adjust the position and scale of obstructing buildings, assigning distance-based weights. Compared to the fixed-weight approach, our distance-weighted approach highlights building position and shape features more effectively across varied scenarios. The proposed method is validated using an experimental scenario in a region of Barcelona. Experimental results indicate that our approach can effectively represent scenes at different scales while prominently displaying the navigation route, thereby enhancing the overall navigation experience.
Authors: Shen Ying, Haoran Yang, Junru Su
Institution: Wuhan University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,550
Award: G968272296
OpenAlex ID: W7118583163