Recent developments and applications of simultaneous localization and mapping in agriculture
H Ding, B Zhang, J Zhou, Y Yan, G Tian… - Journal of field …, 2022 - Wiley Online Library
Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …
sensors to position an unmanned mobile vehicle without previous knowledge of the …
Sensors, slam and long-term autonomy: A review
Simultaneous Localization and Mapping, commonly known as SLAM, has been an active
research area in the field of Robotics over the past three decades. For solving the SLAM …
research area in the field of Robotics over the past three decades. For solving the SLAM …
iSAM: Incremental smoothing and mapping
M Kaess, A Ranganathan… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
In this paper, we present incremental smoothing and mapping (iSAM), which is a novel
approach to the simultaneous localization and mapping problem that is based on fast …
approach to the simultaneous localization and mapping problem that is based on fast …
FrameSLAM: From bundle adjustment to real-time visual mapping
K Konolige, M Agrawal - IEEE Transactions on Robotics, 2008 - ieeexplore.ieee.org
Many successful indoor mapping techniques employ frame-to-frame matching of laser scans
to produce detailed local maps as well as the closing of large loops. In this paper, we …
to produce detailed local maps as well as the closing of large loops. In this paper, we …
Monocular visual odometry in urban environments using an omnidirectional camera
JP Tardif, Y Pavlidis, K Daniilidis - 2008 IEEE/RSJ International …, 2008 - ieeexplore.ieee.org
We present a system for monocular simultaneous localization and mapping (mono-SLAM)
relying solely on video input. Our algorithm makes it possible to precisely estimate the …
relying solely on video input. Our algorithm makes it possible to precisely estimate the …
Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters
This paper addresses the problem of exploring and mapping an unknown environment
using a robot equipped with a stereo vision sensor. The main contribution of our work is a …
using a robot equipped with a stereo vision sensor. The main contribution of our work is a …
COP-SLAM: Closed-form online pose-chain optimization for visual SLAM
G Dubbelman, B Browning - IEEE Transactions on Robotics, 2015 - ieeexplore.ieee.org
In this paper, we analyze and extend the recently proposed closed-form online pose-chain
simultaneous localization and mapping (SLAM) algorithm. Pose-chains are a specific type of …
simultaneous localization and mapping (SLAM) algorithm. Pose-chains are a specific type of …
A study of the Rao-Blackwellised particle filter for efficient and accurate vision-based SLAM
With recent advances in real-time implementations of filters for solving the simultaneous
localization and mapping (SLAM) problem in the range-sensing domain, attention has …
localization and mapping (SLAM) problem in the range-sensing domain, attention has …
Robust 3D SLAM with a stereo camera based on an edge-point ICP algorithm
M Tomono - 2009 IEEE international conference on robotics …, 2009 - ieeexplore.ieee.org
Most vision-based SLAM systems utilize corner-like features, and may be unstable in non-
textured environments where only a few corner features can be extracted. To cope with this …
textured environments where only a few corner features can be extracted. To cope with this …
Fusing monocular information in multicamera SLAM
J Sola, A Monin, M Devy… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
This paper explores the possibilities of using monocular simultaneous localization and
mapping (SLAM) algorithms in systems with more than one camera. The idea is to combine …
mapping (SLAM) algorithms in systems with more than one camera. The idea is to combine …