In carrying out simultaneous localization and mapping, a mobile vehicle is used to simultaneously estimate its position and build a map of the environment. The long-term goal of this work is to build an autonomous inspection mobile vehicle for oil storage tanks and pipelines. The harsh environmental conditions in storage tanks and pipelines limit the types of feature extraction sensors and vehicle pose estimation sensors that one can use. Here, a SOund Navigation And Ranging (SONAR) sensor will be used for feature extraction, and a gyroscope and an encoder will be used for vehicle pose estimation. The integration of these sensors (SONAR, encoder, and gyroscope) will be discussed in this paper, along with the use of a recently developed algorithm fusion for SONAR sensors. The integration of the sensors represents a step towards implementation of concurrent localization and mapping progress in harsh environments.
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ASME 2015 International Mechanical Engineering Congress and Exposition
November 13–19, 2015
Houston, Texas, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5739-7
PROCEEDINGS PAPER
Vehicle Pose Estimation and SONAR Sensor Based Mapping
Hesham Ismail,
Hesham Ismail
University of Maryland, College Park, MD
Search for other works by this author on:
Balakumar Balachandran
Balakumar Balachandran
University of Maryland, College Park, MD
Search for other works by this author on:
Hesham Ismail
University of Maryland, College Park, MD
Balakumar Balachandran
University of Maryland, College Park, MD
Paper No:
IMECE2015-52427, V04AT04A024; 10 pages
Published Online:
March 7, 2016
Citation
Ismail, H, & Balachandran, B. "Vehicle Pose Estimation and SONAR Sensor Based Mapping." Proceedings of the ASME 2015 International Mechanical Engineering Congress and Exposition. Volume 4A: Dynamics, Vibration, and Control. Houston, Texas, USA. November 13–19, 2015. V04AT04A024. ASME. https://doi.org/10.1115/IMECE2015-52427
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