160 likes | 168 Views
Introducing a novel omni-vision system, demonstrating its effectiveness for topological mapping in unknown environments. The sensor comprises a convex mirror and omnidirectional camera, offering wide vision coverage with high-speed and rotational invariance capabilities. Advantages include viewing omnidirectional images, discerning turns from travels, and effective distinctiveness measurements. The model, tasks, features, and results of this sensor for SSH mapping are discussed, along with mirror design considerations to optimize resolution. This study concludes omni-vision sensors are ideal for map building with SSH, estimating robot egomotion without active vision input.
E N D
A New Omnidirectional Vision Sensor for the Spatial Semantic Hierarchy E. Menegatti, M. Wright, E. Pagello Dep. of Electronics and Informatics University of Padua ITALY
Introduction Robot’s task: Building a topological map of an unknown environment; Sensor: Omnidirectional vision system; Work’s aim: Prove effectiveness of omnidirectional sensors for Spatial Semantic Hierarchy; E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Spatial Semantic Hierarchy... ... A model of the human knowledge of large spaces Layers: • Sensory Level • Control Level • Causal Level • Topological Level • Metrical Level Interface with the robot’s sensory system Control Laws, Transition of State, Distinctiveness Measure Minimal set of Places, Paths and Regions View, Action, Distinct Place Abstracts Discrete from Continous Distance, Direction, Shape Useful, but seldom essential E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Composed of: Standard Colour Camera Convex Mirror Perspex Cylinder Omnidirectional Camera E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Advantages Wide vision field High speed Vertical Lines Rotational Invariance Disadvantages Low Resolution Distortions Low readability Pros e Cons E. Menegatti - A New Omnidirectional Vision Sensor for SSH
P1 P2 P5 P4 P3 Omnidir. Vision and SSH • View Omnidirectional image • Exploring around the block • Discriminate b/t “turns” and “travels” • Effective Distinctiveness measure E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Assumptions • Man-made environment • Floor flat and horizontal • Wall and objects surfaces are vertical • Static objects • Constant Lighting • Robot translates or rotates • No encoders E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Features and Events Feature: • Vertical Edges Events: • A new edge • An edge disappear • Two edges 180° apart • Two pairs of edges 180° apart E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Tasks of Caboto: Navigation; Map building; Techniques: Edge detection; Colour marking; Experiments E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Caboto’s Images E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Results • Correct tracking of edges • Recognization of actions • Calculation of the turn angle The path segmentation E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Mirror Design • Design custom mirror profile • Maximise resolution in ROIs Mirror shape should depend on robot task! Mirror Profile E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Our new mirror E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Conclusion • Omnidirectional vision sensor is a good sensor for map building with SSH • Egomotion of the robot was estimated without active vision • The use of a mirror designed for this application will improve the system E. Menegatti - A New Omnidirectional Vision Sensor for SSH
Compound-eye camera (from Univ. of Maryland, College Park. ) Panoramic cameras (from Apple) Omnidirectional cameras (from University of Picardie - France) Omnidirectional Cameras E. Menegatti - A New Omnidirectional Vision Sensor for SSH