CVSep 16, 2025

A-TDOM: Active TDOM via On-the-Fly 3DGS

arXiv:2509.12759v2h-index: 11
Originality Incremental advance
AI Analysis

This addresses the need for real-time geospatial mapping in fields like urban management, though it appears incremental as it builds on existing 3DGS and SfM techniques.

The paper tackled the problem of generating True Digital Orthophoto Maps (TDOM) in real-time by proposing A-TDOM, a method based on on-the-fly 3DGS optimization, which achieves near real-time rendering with optimization for each new image in seconds while maintaining acceptable quality and accuracy.

True Digital Orthophoto Map (TDOM) serves as a crucial geospatial product in various fields such as urban management, city planning, land surveying, etc. However, traditional TDOM generation methods generally rely on a complex offline photogrammetric pipeline, resulting in delays that hinder real-time applications. Moreover, the quality of TDOM may degrade due to various challenges, such as inaccurate camera poses or Digital Surface Model (DSM) and scene occlusions. To address these challenges, this work introduces A-TDOM, a near real-time TDOM generation method based on On-the-Fly 3DGS optimization. As each image is acquired, its pose and sparse point cloud are computed via On-the-Fly SfM. Then new Gaussians are integrated and optimized into previously unseen or coarsely reconstructed regions. By integrating with orthogonal splatting, A-TDOM can render just after each update of a new 3DGS field. Initial experiments on multiple benchmarks show that the proposed A-TDOM is capable of actively rendering TDOM in near real-time, with 3DGS optimization for each new image in seconds while maintaining acceptable rendering quality and TDOM geometric accuracy.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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