Cooperative concurrent mapping and localization

By John W. Fenwick, Paul M. Newman, John J. Leonard. Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292), 2002

315 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multirobot systems: a classification focused on coordination (2004, background): “teresting topic is the cooperative simultaneous localization and mapping, in which the robots need to localize while moving and building the map of the environment [7].”
Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, methodology): “Algorithm Addressed Problems Algorithm Addressed Problems EKF-SLAM (Fenwick et al., 2002) c (Madhavan et al.”
Distributed Multirobot Exploration and Mapping (2005, methodology): “to [6], [35], [32], [3], our techniques makes no assumptions about the relative locations of robots.”
Multi-robot Simultaneous Localization and Mapping using Particle Filters (2005, background): “Fenwick et al. (2002) take what is perhaps the “classical” approach, generalizing the extended Kalman filter (EKF) SLAM formulation first described by Smith et al. (1990)and Dissanayake (2001) to handle multiple robots.”
Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving (2017, unknown): “One of the ﬁrst works on the subject was presented by Fenwick et al. in [211].”
Convergence and Consistency Analysis for Extended Kalman Filter Based SLAM (2007, unknown): “These resultswereextendedto multirobots SLAM in [3].”