Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Wen-Qiang Li

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Oct 2026

LUNA: Light-Based Urban Navigation and Anchor via Geometric Structural Constraints

Robust visual localization for uncrewed aerial vehicles (UAVs) in urban environments is a critical capability, yet it remains challenging in low-light conditions where texture degradation compromises standard feature extraction. Existing solutions often rely on computationally intensive image enhancement or heavy multi...

Xin-Da Li, Bing-Bing Hang, Wen-Qiang Li et al. · 0 citations
Open access Sep 2026

Scene-Adaptive Line-Aware Visual Measurement Conditioning for Stereo Visual–Inertial Odometry

Accurate stereo visual–inertial measurement is essential for mobile robots operating in Global Navigation Satellite System (GNSS)-denied and structurally complex environments. In stereo visual–inertial odometry (VIO), pose and trajectory outputs depend strongly on the point measurements delivered by the visual front en...

Yi Liang, Bing-Bing Hang, Wen-Qiang Li et al. · 0 citations
Open access Sep 2026

Residual-Guided Hybrid Stochastic Modeling: A Two-Stage Learning Framework for Urban GNSS Positioning Enhancement

A residual-guided hybrid stochastic modeling framework that adjusts the pseudo-range observations to reduce the positioning loss without requiring true pseudo-range errors, which are difficult to obtain in real-world scenarios is proposed.

Juan Yin, Wen-Qiang Li, Rui-Chang Fan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.