May 23, 2019 · An offline probabilistic framework for localisation, mapping, and extrinsic calibration based on a 3D-lidar and a 6-DoF-IMU.
This article presents a probabilistic framework for localization and mapping with targetless extrinsic calibration that tightly integrates data from a 3-D-lidar ...
This manuscript presents a probabilistic framework for localisation and mapping with targetless extrinsic calibration that tightly integrates data from a 3D- ...
A novel self-calibration framework for lidar-inertial systems to use an informative path planner to find the admissible path that produces the most accurate ...
IN2LAAMA datasets. This repository provides lidar-inertial datasets collected with a Velodyne VLP-16 lidar and a Xsens MTi-3 IMU.
A probabilistic framework for INertial Lidar Localisation And MApping (IN2LAMA) that tightly integrates inertial and lidar data in a batch on-manifold ...
IN2LAAMA is a set of lidar-inertial datasets collected with a Velodyne VLP-16 lidar and a Xsens MTi-3 IMU.
Another recent continuoustime graph-based framework is "IN2LAAMA" [13] , which can perform localization, mapping, and extrinsic calibration between a laser ...
Oct 12, 2024 · This document presents a framework for lidar-inertial localisation and mapping named 2Fast-2Lamaa. The method revolves around two main steps ...
Jun 2, 2020 · IN2LAAMA - T-RO supplementary material (INertial-Lidar Localisation Autocalibration And MApping). 330 views · 4 years ago ...more ...
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