D. Cho

发表

Trends in Biomimetic Vision Sensor Technology

K. Koo, Jong-Mo Seo, Tae-jae Lee, 2015 .

Obstacle Detection Algorithm Using Forward-Viewing Mono Camera

Tae-jae Lee, D. Cho, H. Lee, 2015 .

A Monocular Vision Sensor-Based Efficient SLAM Method for Indoor Service Robots

Dong-il Dan Cho, Tae-jae Lee, Chul-hong Kim, 2019, IEEE Transactions on Industrial Electronics.

Lane assignment problem using a genetic algorithm in the Automated Highway Systems

K. Kim, J. V. Medanić, D. -I. Cho, 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

An Application of Stereo Camera with Two Different FoVs for SLAM and Obstacle Detection

Dong-il Dan Cho, Chul-hong Kim, Tae-Jae Lee, 2018, SyRoCo.

A New Localization System for Indoor Service Robots in Low Luminance and Slippery Indoor Environment Using Afocal Optical Flow Sensor Based Sensor Fusion

Dong-Hoon Yi, Dong-Il Cho, Tae-Jae Lee, 2018, Sensors.

Pan/Tilt Camera Control for Vision Tracking System Based on the Robot Motion and Vision Information

Dong-il Dan Cho, Wonsang Hwang, Wook Bahn, 2011 .

Mobile robot vision tracking system using Unscented Kalman Filter

Wook Bahn, Tae-il Kim, Muhammad Muneeb Shaikh, 2011, 2011 IEEE/SICE International Symposium on System Integration (SII).

Mobile Robot Vision Tracking System Using Dead Reckoning & Active Beacons

Dong-il Dan Cho, Wonsang Hwang, Wook Bahn, 2011 .

Biomimetic Gyroscope Integrated with Actuation Parts of a Robot Inspired by Insect Halteres

Hyungbo Shim, Kyu-Jin Cho, Dong-il Dan Cho, 2016 .

A Monocular Vision Sensor-Based Obstacle Detection Algorithm for Autonomous Robots

Dong-Hoon Yi, Dong-Il Cho, Tae-Jae Lee, 2016, Sensors.

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

Sang-Hoon Lee, Chang-hun Lee, Dong-Il Cho, 2012, ICIRA.

Sensor Data Fusion Using Unscented Kalman Filter for VOR-Based Vision Tracking System for Mobile Robots

Basilio Bona, Muhammad Latif Anjum, Dong-Il Cho, 2013, TAROS.

Sensor data fusion using Unscented Kalman Filter for accurate localization of mobile robots

Hyun-il Kwon, Wonsang Hwang, Jong-hyeon Kim, 2010, ICCAS 2010.

A Review of Bioinspired Vision Sensors and Their Applications

Tae-jae Lee, D. Cho, C. Dan, 2015 .

A novel line of sight control system for a robot vision tracking system, using vision feedback and motion-disturbance feedforward compensation

Kwangsoo Kim, Jaehong Park, Hyun-il Kwon, 2012, Robotica (Cambridge. Print).

Several methods of sensor fusion for vision tracking in mobile robots

Wook Bahn, Ji-Ho Chang, Dong-Il Cho, 2012, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

High performance vision tracking system for mobile robot using sensor data fusion with Kalman filter

Kwangsoo Kim, Jaehong Park, Hyun-il Kwon, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

DYNAMIC LOCALIZATION OF A MOBILE ROBOT WITH ACTIVE BEACON SENSORS

Jang-Myung Lee, SungBu Kim, I. O. Lee, 2006 .