4 papers
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…
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…
Empowering Bridge Digital Twins by Bridging the Data Gap with a Unified Synthesis Framework
Wang Wang, Mingyu Shi, Jun Jiang +4
As critical transportation infrastructure, bridges face escalating challenges from aging and deterioration, while traditional manual inspection methods suffer from low efficiency.…
ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection
Luqi Zhang, Haiping Wang, Chong Liu +2
The point clouds collected by the Airborne Laser Scanning (ALS) system provide accurate 3D information of urban land covers. By utilizing multi-temporal ALS point clouds, semantic…