Hardware implementation of SLAM algorithms: a survey on implementation approaches and platforms
Simultaneous localization and mapping (SLAM) is an active research topic in machine
vision and robotics. It has various applications in many different fields such as mobile robots …
vision and robotics. It has various applications in many different fields such as mobile robots …
Differentiable slam-net: Learning particle slam for visual navigation
Simultaneous localization and mapping (SLAM) remains challenging for a number of
downstream applications, such as visual robot navigation, because of rapid turns …
downstream applications, such as visual robot navigation, because of rapid turns …
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 …
Unscented FastSLAM: a robust and efficient solution to the SLAM problem
C Kim, R Sakthivel, WK Chung - IEEE Transactions on robotics, 2008 - ieeexplore.ieee.org
The Rao--Blackwellized particle filter (RBPF) and FastSLAM have two important limitations,
which are the derivation of the Jacobian matrices and the linear approximations of nonlinear …
which are the derivation of the Jacobian matrices and the linear approximations of nonlinear …
Vision‐aided inertial navigation for pin‐point landing using observations of mapped landmarks
In this paper we describe an extended Kalman filter algorithm for estimating the pose and
velocity of a spacecraft during entry, descent, and landing. The proposed estimator …
velocity of a spacecraft during entry, descent, and landing. The proposed estimator …
[HTML][HTML] A Bayesian model for efficient visual search and recognition
L Elazary, L Itti - Vision research, 2010 - Elsevier
Humans employ interacting bottom-up and top-down processes to significantly speed up
search and recognition of particular targets. We describe a new model of attention guidance …
search and recognition of particular targets. We describe a new model of attention guidance …
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 …
A framework for vision based bearing only 3D SLAM
This paper presents a framework for 3D vision based bearing only SLAM using a single
camera, an interesting setup for many real applications due to its low cost. The focus in is on …
camera, an interesting setup for many real applications due to its low cost. The focus in is on …
/spl sigma/SLAM: Stereo vision SLAM using the Rao-Blackwellised particle filter and a novel mixture proposal distribution
We consider the problem of simultaneous localization and mapping (SLAM) using the Rao-
Blackwellised particle filter (RBPF) for the class of indoor mobile robots equipped only with …
Blackwellised particle filter (RBPF) for the class of indoor mobile robots equipped only with …
Real-time motion tracking from a mobile robot
B Jung, GS Sukhatme - International Journal of Social Robotics, 2010 - Springer
A mobile robot needs to perceive the motions of external objects to perform tasks
successfully in a dynamic environment. We propose a set of algorithms for multiple motion …
successfully in a dynamic environment. We propose a set of algorithms for multiple motion …