activity
20172026
most citedLidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments

53 citations · 122 across the 15 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.RO2022★ 53 cited

Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments

Daniel Adolfsson, Martin Magnusson, Anas Alhashimi +2

This paper presents an accurate, highly efficient, and learning-free method for large-scale odometry estimation using spinning radar, empirically found to generalize well across ve…

cs.RO2022★ 4 cited

Software Architectures for Mobile Robots

Henrik Andreasson, Giorgio Grisetti, Todor Stoyanov +1

A software architecture defines the blueprints of a large computational system, and is thus a crucial part of the design and development effort. This task has been explored extensi…

cs.RO2022★ 5 cited

Sensors for Mobile Robots

Henrik Andreasson, Giorgio Grisetti, Todor Stoyanov +1

A sensor is a device that converts a physical parameter or an environmental characteristic (e.g., temperature, distance, speed, etc.) into a signal that can be digitally measured a…

cs.RO2022★ 19 cited

CorAl: Introspection for Robust Radar and Lidar Perception in Diverse Environments Using Differential Entropy

Daniel Adolfsson, Manuel Castellano-Quero, Martin Magnusson +2

Robust perception is an essential component to enable long-term operation of mobile robots. It depends on failure resilience through reliable sensor data and preprocessing, as well…

cs.HC2022★ 14 cited

Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge

Tyrone Machado, David Fassbender, Abdolreza Taheri +10

Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortag…