Dead-reckoning sensor system and tracking algorithm for 3-D pipeline mapping

Dongjun Hyun, Hyun Seok Yang, Hyuk Sung Park, Hyo Jun Kim

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


A dead-reckoning sensor system and a tracking algorithm for 3-D pipeline mapping are proposed for a tap water pipeline for which the diameter is small and the inner surface is rough due to pipe scales. The goals of this study are to overcome the performance limitations of small and low-grade sensors by combining various sensors with complementary functions and achieve robustness against a severe environment. A dead-reckoning sensor system consists of a small, low-cost micro electromechanical system inertial measurement unit (MEMS IMU) and an optical navigation sensor (used in laser mice). A tracking algorithm consists of a multi-rate extended Kalman filter (EKF) to fuse redundant and complementary data from the MEMS IMU and the optical navigation sensor and a geometry compensation method to reduce position estimation error using the end point of the pipeline. Two sets of experimental data have been obtained by driving a radio-controlled car equipped with the sensor system in a 3-D pipeline and on asphalt pavement. Our study can be used to estimate the path of a 3-D pipeline or mobile robots.

Original languageEnglish
Pages (from-to)213-223
Number of pages11
Issue number2
Publication statusPublished - 2010 Mar

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Dead-reckoning sensor system and tracking algorithm for 3-D pipeline mapping'. Together they form a unique fingerprint.

Cite this