Abstract | ||
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This paper addresses the cooperative localization and visual mapping problem for multiple aerial and ground robots.We propose
the use of heterogeneous visual landmarks, points and line segments. A large-scale SLAM algorithm is generalized to manage
multiple robots, in which a global graph maintains the topological relationships between a series of local sub-maps built
by the different robots. Only single camera setups are considered: in order to achieve undelayed initialization, we present
a novel parametrization for lines based on anchored Plücker coordinates, to which we add extensible endpoints to enhance their
representativeness. The built maps combine such lines with 3D points parametrized in inverse-depth. The overall approach is
evaluated with real-data taken with a helicopter and a ground rover in an abandoned village.
|
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-19457-3_40 | ISRR |
Field | DocType | Citations |
Robotic systems,Computer vision,Line segment,Parametrization,Visual odometry,Simulation,Computer science,Artificial intelligence,Initialization,Simultaneous localization and mapping,Robot,Plücker coordinates | Conference | 2 |
PageRank | References | Authors |
0.42 | 12 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Teresa A. Vidal-Calleja | 1 | 73 | 15.59 |
Cyrille Berger | 2 | 114 | 7.74 |
Joan Solà | 3 | 277 | 19.66 |
Simon Lacroix | 4 | 248 | 19.51 |