Multi Sensor-Fusion for Autonomous Robots
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: closed (1 May 2021) | Viewed by 703
Special Issue Editor
Special Issue Information
We cordially invite you to submit your research to our Special Issue “Multi Sensor-Fusion for Autonomous Robots”.
When navigating challenging environments, modern autonomous robots often use various sensors as well as multiple modalities. These include exteroceptive (e.g., cameras, lidar, and radar) or proprioceptive (e.g., inertial measurement units or wheel odometry) sensors, and combining them generally significantly increases the reliability of the robot.
To efficiently make use of two or more of these sensors, roboticists employs a strategy known as “sensor fusion”, which intelligently fuses sensory data derived from disparate sources. The resulting information is more reliable than that generated from sources used individually.
This Special Issue focuses on modern algorithms that perform fusing strategies with application for mobile robots. The techniques can range from direct and indirect fusion to centralized and decentralized methods. For this particular Special Issue, all results should illustrate the proposed algorithms operating on a physical robot.
We look forward to receiving your contributions.
Dr. Paulo Vinicius Koerich Borges
Guest Editor
Manuscript Submission Information
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Keywords
- mobile robotics
- sensor fusion
- field robotics
- SLAM
- robot localization
- autonomous vehicle navigation
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