Efficient Measurement Planning for Remote Gas Sensing with Mobile Robots [Elektronisk resurs]
-
Arain, Muhammad Asif 1983- (författare)
-
2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, Washington, USA, May 26-30, 2015
-
Cirillo, Marcello 1978- (författare)
-
Hernandez Bennetts, Victor 1978- (författare)
-
Schaffernicht, Erik 1978- (författare)
-
Trincavelli, Marco 1978- (författare)
-
Lilienthal, Achim J. 1970- (författare)
-
Örebro universitet Institutionen för naturvetenskap och teknik (utgivare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
-
Mobile Robotics & Olfaction (MRO) Lab, Center of Applied Autonomous Sensor Systems (AASS) (medarbetare)
- Washington, USA IEEE Computer Society 2015
- Engelska.
-
Ingår i: 2015 IEEE International Conference on Robotics and Automation (ICRA). ; 3428-3434
-
Läs hela texten
-
Läs hela texten
-
Läs hela texten
-
Läs hela texten
Sammanfattning
Ämnesord
Stäng
- The problem of gas detection is relevant to manyreal-world applications, such as leak detection in industrialsettings and surveillance. In this paper we address the problemof gas detection in large areas with a mobile robotic platformequipped with a remote gas sensor. We propose a novelmethod based on convex relaxation for quickly finding anexploration plan that guarantees a complete coverage of theenvironment. Our method proves to be highly efficient in termsof computational requirements and to provide nearly-optimalsolutions. We validate our approach both in simulation andin real environments, thus demonstrating its applicability toreal-world problems.
Ämnesord
- Natural Sciences (hsv)
- Computer and Information Science (hsv)
- Computer Science (hsv)
- Naturvetenskap (hsv)
- Data- och informationsvetenskap (hsv)
- Datavetenskap (datalogi) (hsv)
- Computer Science (oru)
- Datavetenskap (oru)
Indexterm och SAB-rubrik
- Sensor planning
- mobile robot olfaction
- remote gas sensing
Inställningar
Hjälp
Uppgift om bibliotek saknas i LIBRIS
Kontakta ditt bibliotek, eller sök utanför LIBRIS. Se högermenyn.