Challenges and solutions for autonomous ground robot scene understanding and navigation in unstructured outdoor environments: A review

L Wijayathunga, A Rassau, D Chai - Applied Sciences, 2023 - mdpi.com
The capabilities of autonomous mobile robotic systems have been steadily improving due to
recent advancements in computer science, engineering, and related disciplines such as …

Learning-based methods of perception and navigation for ground vehicles in unstructured environments: A review

DC Guastella, G Muscato - Sensors, 2020 - mdpi.com
The problem of autonomous navigation of a ground vehicle in unstructured environments is
both challenging and crucial for the deployment of this type of vehicle in real-world …

Learning for autonomous navigation

JA Bagnell, D Bradley, D Silver… - IEEE Robotics & …, 2010 - ieeexplore.ieee.org
Autonomous navigation by a mobile robot through L natural, unstructured terrain is one of
the premier k challenges in field robotics. Tremendous advances V in autonomous …

Autonomous off-road navigation over extreme terrains with perceptually-challenging conditions

R Thakker, N Alatur, DD Fan, J Tordesillas… - … Robotics: The 17th …, 2021 - Springer
We propose a framework for resilient autonomous navigation in perceptually challenging
unknown environments with mobility-stressing elements such as uneven surfaces with rocks …

Autonomous ground navigation in highly constrained spaces: Lessons learned from the benchmark autonomous robot navigation challenge at icra 2022 [competitions …

X Xiao, Z Xu, Z Wang, Y Song, G Warnell… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
The Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2022
IEEE International Conference on Robotics and Automation (ICRA), in Philadelphia, PA …

A guide to vision-based map building

D Wooden - IEEE Robotics & Automation Magazine, 2006 - ieeexplore.ieee.org
This paper describes a simple vision-based mapping system for mobile robot navigation in
an unknown outdoor environment, consistent with the efforts of Georgia Tech's team for the …

Autonomous mobile robot localization and navigation using a hierarchical map representation primarily guided by vision

C Siagian, CK Chang, L Itti - Journal of Field Robotics, 2014 - Wiley Online Library
While impressive progress has recently been made with autonomous vehicles, both indoors
and on streets, autonomous localization and navigation in less constrained and more …

Learning ground traversability from simulations

RO Chavez-Garcia, J Guzzi… - IEEE Robotics and …, 2018 - ieeexplore.ieee.org
Mobile ground robots operating on unstructured terrain must predict which areas of the
environment they are able to pass in order to plan feasible paths. We address traversability …

Learning terrain segmentation with classifier ensembles for autonomous robot navigation in unstructured environments

MJ Procopio, J Mulligan, G Grudic - Journal of Field Robotics, 2009 - Wiley Online Library
Autonomous robot navigation in unstructured outdoor environments is a challenging area of
active research and is currently unsolved. The navigation task requires identifying safe …

A self‐learning framework for statistical ground classification using radar and monocular vision

A Milella, G Reina, J Underwood - Journal of Field Robotics, 2015 - Wiley Online Library
Reliable terrain analysis is a key requirement for a mobile robot to operate safely in
challenging environments, such as in natural outdoor settings. In these contexts …