COVINS-G: A Generic Back-end for Collaborative Visual-Inertial SLAM

1 code implementation • 17 Jan 2023 • Manthan Patel, Marco Karrer, Philipp Bänninger, Margarita Chli

The paradigm of a centralized architecture is well established, with the robots (i. e. agents) running Visual-Inertial Odometry (VIO) onboard while communicating relevant data, such as e. g. Keyframes (KFs), to a central back-end (i. e. server), which then merges and optimizes the joint maps of the agents.

Pose Estimation

COVINS: Visual-Inertial SLAM for Centralized Collaboration

1 code implementation • 12 Aug 2021 • Patrik Schmuck, Thomas Ziegler, Marco Karrer, Jonathan Perraudin, Margarita Chli

Collaborative SLAM enables a group of agents to simultaneously co-localize and jointly map an environment, thus paving the way to wide-ranging applications of multi-robot perception and multi-user AR experiences by eliminating the need for external infrastructure or pre-built maps.

Distributed Variable-Baseline Stereo SLAM from two UAVs

no code implementations • 10 Sep 2020 • Marco Karrer, Margarita Chli

VIO has been widely used and researched to control and aid the automation of navigation of robots especially in the absence of absolute position measurements, such as GPS.

Pose Estimation Vocal Bursts Valence Prediction