The three-dimensional normal-distributions transform: an efficient representation for registration, surface analysis, and loop detection
M Magnusson - 2009 - diva-portal.org
This dissertation is concerned with three-dimensional (3D) sensing and 3D scan
representation. Three-dimensional records are important tools in several, quite diverse …
representation. Three-dimensional records are important tools in several, quite diverse …
Visual teach and repeat for long‐range rover autonomy
P Furgale, TD Barfoot - Journal of field robotics, 2010 - Wiley Online Library
This paper describes a system built to enable long‐range rover autonomy using a stereo
camera as the only sensor. During a learning phase, the system builds a manifold map of …
camera as the only sensor. During a learning phase, the system builds a manifold map of …
Driving on point clouds: Motion planning, trajectory optimization, and terrain assessment in generic nonplanar environments
We present a practical approach to global motion planning and terrain assessment for
ground robots in generic three‐dimensional (3D) environments, including rough outdoor …
ground robots in generic three‐dimensional (3D) environments, including rough outdoor …
[HTML][HTML] Location estimation of autonomous driving robot and 3D tunnel mapping in underground mines using pattern matched LiDAR sequential images
H Kim, Y Choi - International Journal of mining science and technology, 2021 - Elsevier
In this study, a machine vision-based pattern matching technique was applied to estimate
the location of an autonomous driving robot and perform 3D tunnel mapping in an …
the location of an autonomous driving robot and perform 3D tunnel mapping in an …
Instance segmentation for autonomous log grasping in forestry operations
Wood logs picking is a challenging task to automate. Indeed, logs usually come in cluttered
configurations, randomly orientated and overlapping. Recent work on log picking …
configurations, randomly orientated and overlapping. Recent work on log picking …
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned
Challenges inherent to autonomous wintertime navigation in forests include lack of reliable
a Global Navigation Satellite System (GNSS) signal, low feature contrast, high illumination …
a Global Navigation Satellite System (GNSS) signal, low feature contrast, high illumination …
Spatial model predictive control for smooth and accurate steering of an autonomous truck
PF Lima, M Nilsson, M Trincavelli… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In this paper, we present an algorithm for lateral control of a vehicle—a smooth and accurate
model predictive controller (MPC). The fundamental difference compared to a standard MPC …
model predictive controller (MPC). The fundamental difference compared to a standard MPC …
The next step in robot commissioning: Autonomous picking and palletizing
R Krug, T Stoyanov, V Tincani… - IEEE Robotics and …, 2016 - ieeexplore.ieee.org
So far, autonomous order picking (commissioning) systems have not been able to meet the
stringent demands regarding speed, safety, and accuracy of real-world warehouse …
stringent demands regarding speed, safety, and accuracy of real-world warehouse …
Robotics in mining
This chapter presents an overview of the state of the art in mining robotics, from surface to
underground applications, and beyond. Mining is the practice of extracting resources for …
underground applications, and beyond. Mining is the practice of extracting resources for …
A new path tracking method based on multilayer model predictive control
G Bai, Y Meng, L Liu, W Luo, Q Gu, K Li - Applied sciences, 2019 - mdpi.com
Featured Application This work is used for the unmanned driving of vehicles and other
devices. Abstract At present, many path tracking controllers are unable to actively adjust the …
devices. Abstract At present, many path tracking controllers are unable to actively adjust the …