activity
20232026
most citedOSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic Guidance

1 citations · 1 across the 10 of their papers we have counts for

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cs.CV2026

DTIF: Robust Loop Closure Detection via Delaunay Triangle Topology in Complex Forests

Xin Zhao, Jianping Li, Qin Zou +3

Accurate forest inventory and large-scale mapping are essential for ecosystem monitoring and sustainable forest management. Multiple low-cost edge platforms enable efficient large-…

cs.CV2026

WHU-Infra3D: A Full-stack Multi-modal Dataset and Benchmark for 3D Roadside Infrastructure Inventory

Chong Liu, Luxuan Fu, Xuyu Feng +2

The paradigm of digital twin cities is shifting from coarse visual mapping toward more precise and actionable digitization of urban assets. However, existing datasets predominantly…

cs.CV2026

TOL: Textual Localization with OpenStreetMap

Youqi Liao, Shuhao Kang, Jingyu Xu +6

Natural language provides an intuitive way to express spatial intent in geospatial applications. While existing localization methods often rely on dense point cloud maps or high-re…

cs.CV2026

Unleashing the Capabilities of Large Vision-Language Models for Intelligent Perception of Roadside Infrastructure

Luxuan Fu, Chong Liu, Bisheng Yang +1

Automated perception of urban roadside infrastructure is crucial for smart city management, yet general-purpose models often struggle to capture the necessary fine-grained attribut…

cs.CV2026

SVII-3D: Advancing Roadside Infrastructure Inventory with Decimeter-level 3D Localization and Comprehension from Sparse Street Imagery

Chong Liu, Luxuan Fu, Yang Jia +2

The automated creation of digital twins and precise asset inventories is a critical task in smart city construction and facility lifecycle management. However, utilizing cost-effec…

cs.CV2025

LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning

Xianghong Zou, Jianping Li, Zhe Chen +4

Point cloud place recognition (PCPR) determines the geo-location within a prebuilt map and plays a crucial role in geoscience and robotics applications such as autonomous driving,…