RBLAM — Reflector-Based Localization

Sole inventor of production-grade reflector-based localization and mapping, deployed at industrial customer sites.

Problem

Large industrial facilities (warehouses, manufacturing plants) pose severe challenges for visual and LiDAR SLAM — repetitive structure, scene dynamism, and map scale cause localization failures in GPS-denied natural navigation systems.

Approach

I invented RBLAM (Reflector-Based Localization and Mapping) and led its production-grade development:

  • Sparse reflector-landmark representation with probabilistic data association
  • Integration into the production navigation stack with online map management
  • Fail-over logic for continuous operation when primary localization modalities degrade
  • Related patent filed — A Mobile Entity Localization System and a Method Thereof

Results

  • Sole inventor and technical lead for algorithm and deployment
  • Deployed at 2+ customer sites in industrial environments
  • Enables robust relocalization where feature-based methods struggle
  • Complements natural navigation with a dedicated sparse-landmark modality

Technologies

ROS 2 · C++ · GTSAM · LiDAR · Probabilistic estimation · Map management