Yiu-Kwong Wong

About

Yiu-Kwong Wong is a researcher specializing in autonomous mobile robotics, with a focus on sensor fusion, simultaneous localization and mapping (SLAM), and robust estimation for dynamic environments. His most impactful work, "Sensor Fusion of Monocular Cameras and Laser Rangefinders for Line-Based SLAM Tasks in Autonomous Mobile Robots" (2012), has garnered 49 citations, introducing a novel fusion strategy that synthesizes line segments from laser rangefinders and camera features to enhance SLAM accuracy in unpredictable settings. Wong’s earlier contributions include a robust regression model for SLAM (2008, 17 citations) and a heterogeneous multisensor fusion algorithm (2007, 7 citations) that synergistically integrates uncalibrated cameras and sonar sensors for mapping dynamic environments, using sonar data to build weighted maps for improved tracking. His work on entropy-based robust estimators (2010) further advances line-based mapping by reducing noise impact. Wong’s research is notable for its practical emphasis on real-world robot navigation, offering scalable solutions for autonomous systems in cluttered or changing spaces. His sensor fusion techniques have influenced subsequent developments in mobile robotics, making his work a valuable reference for students and engineers tackling SLAM challenges.

Research Focus

Key Achievements

Top Papers

1. 1
   Sensor Fusion of Monocular Cameras and Laser Rangefinders for Line-Based Simultaneous Localization and Mapping (SLAM) Tasks in Autonomous Mobile Robots

   49 citations · 2012
2. 2
   A Robust Regression Model for Simultaneous Localization and Mapping in Autonomous Mobile Robot

   17 citations · 2008
3. 3
   Heterogeneous multisensor fusion for mapping dynamic environments

   7 citations · 2007
4. 4
   Entropy based robust estimator and its application to line-based mapping

   2 citations · 2010

Key Collaborators

Contact & Links