Author:
Yeon A S A,Visvanathan R,Kamarudin K,Mamduh S M,Zakaria A,Kamarudin L M
Abstract
Abstract
This work focuses on comparing gas source localization accuracy of three types of gas source localization methods which are the conventional method, weighted-averaging mean method and variance map from DM+V method. Gas source localization accuracy in this work means the distance error between the calculated source location and the actual source location. All methods were implemented offline using the measurements collected from real-time gas source localization experiments that were done beforehand. The dataset consists of gas sensor measurements, and mobile robot’s location in a 3m by 6m test area. The goal of the work is to shine a light on why recent works in the field are more focusing on improving probabilistic and map-based algorithms. This work also shows how the kernel size of kernel-based gas distribution mapping might affect the gas source localization accuracy in a small indoor area.
Reference26 articles.
1. Artificial smell detection for robotic navigation;Rozas,1991
2. Estimating gas-source location in outdoor environment using mobile robot equipped with gas sensors and anemometer;Fukazawa,2009
3. Odor source localization algorithms on mobile robots: A review and future outlook;Chen;Robotics and Autonomous Systems,2019
4. Experimental analysis of smelling Braitenberg vehicles;Lilienthal;IEEE int. conf. on advanced robotics (Coimbra),2003
5. SPIRAL: A novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow;Ferri;Robotics and Autonomous Systems,2009