A Complementary Vision Strategy for Autonomous Robots in Underground Terrains using SRM and Entropy Models
This work investigates robots' perception in underground terrains (mines and tunnels) using statistical region merging (SRM) and the entropy models. A probabilistic approach based on the local entropy is employed. The entropy is measured within a fixed window on a stream of mine and tunnel fram...
Main Authors: | Omowunmi Isafiade, Isaac Osunmakinde, Antoine Bagula |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2013-09-01
|
Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.5772/56758 |
Similar Items
-
Cooperative Behaviours with Swarm Intelligence in Multirobot Systems for Safety Inspections in Underground Terrains
by: Chika Yinka-Banjo, et al.
Published: (2014-01-01) -
Drivable region detection for autonomous robots applied to South African underground mining
by: Falola, Omowunmi Elizabeth
Published: (2014) -
On the Relevance of Using Bayesian Belief Networks in Wireless Sensor Networks Situation Recognition
by: Marco Zennaro, et al.
Published: (2010-12-01) -
Towards Safety from Toxic Gases in Underground Mines Using Wireless Sensor Networks and Ambient Intelligence
by: Isaac O. Osunmakinde
Published: (2013-02-01) -
Planetary robotic vision processing for terrain assessment
by: Spiteri, Conrad
Published: (2018)