Chenglu Wen

About

Chenglu Wen is a researcher whose work spans computer vision, robotics, and 3D spatial intelligence, with particular expertise in LiDAR-based localization, scene reconstruction, and human-centered sensing systems. Beginning with early contributions in biological imaging — including insect classification systems (115 citations) and microorganism tracking — Wen's research trajectory has evolved toward sophisticated 3D understanding of real-world environments. His most impactful recent work centers on LiDAR localization for autonomous vehicles and robotics, producing a series of influential methods including STCLoc, LiSA, and LightLoc, which address critical challenges such as spatio-temporal pose estimation, semantic scene awareness, and dramatically accelerated training pipelines. His HSC4D project (2022) stands out as a particularly innovative contribution, enabling human-centered 4D scene capture across large-scale indoor-outdoor environments using only wearable IMUs and LiDAR — a space-free approach with broad implications for digital twin creation and human-robot interaction. With cooperative indoor 3D mapping and geometric motion estimation rounding out his portfolio, Wen's cumulative citation record reflects a researcher steadily building foundational tools for the next generation of intelligent, spatially aware autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Local feature-based identification and classification for orchard insects

   115 citations · 2009
2. 2
   Cooperative indoor 3D mapping and modeling using LiDAR data

   28 citations · 2021
3. 3
   LiDAR-based localization using universal encoding and memory-aware regression

   26 citations · 2022
4. 4
   HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

   24 citations · 2022
5. 5
   STCLoc: Deep LiDAR Localization With Spatio-Temporal Constraints

   14 citations · 2022
6. 6
   LiSA: LiDAR Localization with Semantic Awareness

   10 citations · 2024
7. 7
   Motile microorganism tracking system using micro-visual servo control

   5 citations · 2008
8. 8
   FeatFlow: Learning geometric features for 3D motion estimation

   4 citations · 2020
9. 9
   LightLoc: Learning Outdoor LiDAR Localization at Light Speed

   3 citations · 2025
10. 10
    Preproessing and modeling for visual-based 3D indoor scene reconstruction

    2 citations · 2013

Key Collaborators

Contact & Links