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20162026
most citedThe Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth

233 citations · 1.2k across the 37 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.RO2021★ 28 cited

Multi-Camera LiDAR Inertial Extension to the Newer College Dataset

Lintong Zhang, Marco Camurri, David Wisth +1

We present a multi-camera LiDAR inertial dataset of 4.5 km walking distance as an expansion of the Newer College Dataset. The global shutter multi-camera device is hardware synchro…

cs.RO2021★ 5 cited

Learning Inertial Odometry for Dynamic Legged Robot State Estimation

Russell Buchanan, Marco Camurri, Frank Dellaert +1

This paper introduces a novel proprioceptive state estimator for legged robots based on a learned displacement measurement from IMU data. Recent research in pedestrian tracking has…

cs.RO2021

AEROS: Adaptive RObust least-Squares for Graph-Based SLAM

Milad Ramezani, Matias Mattamala, Maurice Fallon

In robot localisation and mapping, outliers are unavoidable when loop-closure measurements are taken into account. A single false-positive loop-closure can have a very negative imp…

cs.RO2021★ 35 cited

Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry

Lintong Zhang, David Wisth, Marco Camurri +1

We present a multi-camera visual-inertial odometry system based on factor graph optimization which estimates motion by using all cameras simultaneously while retaining a fixed over…

cs.RO2021★ 22 cited

Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

Russell Buchanan, Jakub Bednarek, Marco Camurri +3

Legged robot navigation in extreme environments can hinder the use of cameras and laser scanners due to darkness, air obfuscation or sensor damage. In these conditions, propriocept…

eess.IV2021

Online Estimation of Diameter at Breast Height (DBH) of Forest Trees Using a Handheld LiDAR

Alexander Proudman, Milad Ramezani, Maurice Fallon

While mobile LiDAR sensors are increasingly used to scan in ecology and forestry applications, reconstruction and characterisation are typically carried out offline (to the best of…