JOURNAL ARTICLE
Mobile robot indoor navigation
Josef ČernohorskýMiroslav Novák
Year: 2016 Vol: 4 Pages: 151-155
Abstract
The paper describes the design of a simple and robust navigation system based on odometry and global ultrasonic position system. The ultrasonic system precision was tested and the results are shown in this paper. The Extended Kalman Filter is used for data handling, which helps us to handle noise from sensor.
Keywords:
Odometry Computer science Mobile robot Kalman filter Ultrasonic sensor Computer vision Mobile robot navigation Noise (video) Artificial intelligence Visual odometry Navigation system Extended Kalman filter Position (finance) Robot Real-time computing Robot control Acoustics
Metrics
5
Cited By
1.58
FWCI (Field Weighted Citation Impact)
13
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Robotics and Sensor-Based Localization
Physical Sciences → Engineering → Aerospace Engineering
Indoor and Outdoor Localization Technologies
Physical Sciences → Engineering → Electrical and Electronic Engineering
Inertial Sensor and Navigation
Physical Sciences → Engineering → Aerospace Engineering
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