Continuous, real-time mapping of an environment using a camera requires a constanttime estimation engine. This rules out optimal global solving such as bundle adjustment. In this article, we investigate the precision that can be achieved with only local estimation of motion and structure provided by a stereo pair. We introduce a simple but novel representation of the environment in terms of a sequence of relative locations. We demonstrate precise local mapping and easy navigation using the relative map, and importantly show that this can be done without requiring a global minimisation after loop closure. We discuss some of the issues that arise from using a relative representation, and evaluate our system on long sequences processed at a co...
We propose fusion of stereo visual odometry and ranging for Simultaneous Localization And Mapping (S...
University of Technology, Sydney. Faculty of Engineering.This thesis deals with the problem of stere...
Abstract—Monocular simultaneous localization and mapping (SLAM) techniques implicitly estimate camer...
Continuous, real-time mapping of an environment using a camera requires a constanttime estimation en...
Large scale exploration of the environment requires a constant time estimation engine. Bundle adjust...
This paper describes a visual SLAM system based on stereo cameras and focused on real-time localizat...
Abstract — This paper describes a visual SLAM system based on stereo cameras and focused on real-tim...
Abstract: This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on s...
The recovery of structure from motion in real time over extended areas demands methods that mitigat...
The recovery of structure from motion in real time over extended areas demands methods that mitigate...
The recovery of structure from motion in real time over extended areas demands methods that mitigate...
The problem of visual simultaneous localization and mapping (SLAM) is examined in this paper using r...
This paper presents a monocular visual SLAM system that does not require a globally consistent 3D mo...
Monocular simultaneous localization and mapping(SLAM) techniques implicitly estimate camera ego-moti...
Vision sensors are increasingly being used in the implementation of Simultaneous Localization and Ma...
We propose fusion of stereo visual odometry and ranging for Simultaneous Localization And Mapping (S...
University of Technology, Sydney. Faculty of Engineering.This thesis deals with the problem of stere...
Abstract—Monocular simultaneous localization and mapping (SLAM) techniques implicitly estimate camer...
Continuous, real-time mapping of an environment using a camera requires a constanttime estimation en...
Large scale exploration of the environment requires a constant time estimation engine. Bundle adjust...
This paper describes a visual SLAM system based on stereo cameras and focused on real-time localizat...
Abstract — This paper describes a visual SLAM system based on stereo cameras and focused on real-tim...
Abstract: This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on s...
The recovery of structure from motion in real time over extended areas demands methods that mitigat...
The recovery of structure from motion in real time over extended areas demands methods that mitigate...
The recovery of structure from motion in real time over extended areas demands methods that mitigate...
The problem of visual simultaneous localization and mapping (SLAM) is examined in this paper using r...
This paper presents a monocular visual SLAM system that does not require a globally consistent 3D mo...
Monocular simultaneous localization and mapping(SLAM) techniques implicitly estimate camera ego-moti...
Vision sensors are increasingly being used in the implementation of Simultaneous Localization and Ma...
We propose fusion of stereo visual odometry and ranging for Simultaneous Localization And Mapping (S...
University of Technology, Sydney. Faculty of Engineering.This thesis deals with the problem of stere...
Abstract—Monocular simultaneous localization and mapping (SLAM) techniques implicitly estimate camer...