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Updated: Jun 26, 2026
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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
Published on: October 27, 2016
Two-dimensional location and direction estimating method.
Teruhiro Haga1, Sosuke Tsukamoto, Hiroshi Hoshino
1Master's Program in Electronic and Computer Engineering, Graduate School of Science and Engineering, Tokyo Denki University, Ishizaka, Hatoyama, Hiki, Saitama 350-0394, Japan. teruhiro1127@lsi.f.dendai.ac.jp
Summary
This study introduces a novel radio communication method for object localization and orientation estimation. The system accurately determines an object's rotation angle, even with moderate position inaccuracies, using antenna directivity.
Area of Science:
- Robotics and Automation
- Wireless Communication Systems
- Sensor Technology
Background:
- Accurate object pose estimation (position and orientation) is crucial for automated systems.
- Traditional methods may face limitations in certain environments or with specific object types.
- Radio communication offers a potential alternative for non-line-of-sight or robust sensing.
Purpose of the Study:
- To propose and validate a novel method for simultaneously estimating an object's position and rotation angle.
- To leverage radio communication and antenna directivity for pose estimation.
- To assess the accuracy of the proposed method, particularly the rotation angle estimation.
Main Methods:
- Development of a prototype measurement stage with 36 antennas arranged circularly.
- Utilizing two right-angle-mounted transmitter antennas on the target object.
- Estimating object pose by measuring the radio communication efficiency between the target and stage antennas.
Main Results:
- The system demonstrated accurate estimation of the rotation angle with an average error of approximately 2.33 degrees.
- Position estimation accuracy was moderate, with an error of about 30 mm.
- The experimental results validate the feasibility of the proposed radio-based pose estimation technique.
Conclusions:
- The proposed radio communication-based method is effective for estimating an object's rotation angle.
- While position accuracy has room for improvement, the technique shows promise for object direction sensing.
- This approach offers a valuable tool for applications requiring robust object pose estimation.
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