Byung-moon Jang

About

Byung-moon Jang is a robotics researcher whose work focuses on sensor fusion and localization for mobile and service robots. His key contributions lie in integrating vision sensors with motion sensors—such as encoders, accelerometers, and gyroscopes—to improve robot navigation and tracking accuracy. His most cited paper (2012, 9 citations) introduces a localization method that fuses camera and motion sensor data to estimate a robot’s orientation, position, and velocity, enabling more reliable autonomous movement. A subsequent study (2015, 7 citations) refines heading angle estimation for home service robots using a forward-viewing mono-camera, addressing a critical challenge in indoor navigation. Jang also developed a robotic pan-and-tilt system (2012, 2 citations) for 3D target tracking, combining vision, encoder, and inertial measurements. Though his citation counts are modest, his work demonstrates practical, low-cost solutions for real-world robotics applications, contributing to the advancement of service robots in domestic environments.

Research Focus

Key Achievements

Top Papers

1. 1
   A new localization method for mobile robot by data fusion of vision sensor data and motion sensor data

   9 citations · 2012
2. 2
   A novel method for estimating the heading angle for a home service robot using a forward-viewing mono-camera and motion sensors

   7 citations · 2015
3. 3
   A Robotic Pan and Tilt 3-D Target Tracking System by Data Fusion of Vision, Encoder, Accelerometer, and Gyroscope Measurements

   2 citations · 2012

Key Collaborators

Contact & Links