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Efficient Decentralized Collaborative Mapping for Outdoor Environments

Abstract : An efficient mapping in mobile robotics may involve the participation of several agents. In this context, this article presents a framework for collaborative mapping applied to outdoor environments considering a decentralized approach. The mapping approach uses range measurements from a 3D lidar moving in six degrees of freedom. For that case, each robot performs a local SLAM. The maps are then merged when communication is available between the mobile units. This allows building a global map and to improve the state estimation of each agent. Experimental results are presented, where partial maps of the same environment are aligned and merged coherently in spite of the noise from the lidar measurement.
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Submitted on : Monday, January 22, 2018 - 3:01:56 PM
Last modification on : Wednesday, November 3, 2021 - 4:19:52 AM
Long-term archiving on: : Thursday, May 24, 2018 - 9:46:04 AM


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  • HAL Id : hal-01689868, version 1


Luis Contreras-Samamé, Olivier Kermorgant, Philippe Martinet. Efficient Decentralized Collaborative Mapping for Outdoor Environments. International Conference on Robotic Computing, Jan 2018, Laguna Hills, United States. ⟨hal-01689868⟩



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