Abstract: This work presents a solution for the problem of Simultaneous Localization and Mapping (SLAM) based on a. Stochastic Gradient Descent (SGD) ...

This work presents a solution for the problem of Simultaneous Localization and Mapping (SLAM) based on a Stochastic Gradient Descent (SGD) technique and ...

This paper suggests the introduction of a SGD algorithm into a SLAM scheme which exploits the benefits of omnidirectional images provided by a single camera.

This work presents a solution for the problem of Simultaneous Localization and Mapping (SLAM) based on a Stochastic Gradient Descent (SGD) technique and using ...

... with a camera sensor and map model solely based on omnidirectional views. ... In this paper, we present a SLAM approach that builds global occupancy-grid maps ...

In this paper we describe a mapping system based on retaining stereo views of the environment that are collected as the robot moves.

Dec 23, 2019 · This paper presents a novel approach for vision-based Simultaneous Localization and Mapping (SLAM) on a high curved track without pose-based ...

The view map system, which derives from FrameSLAM [1,. 21], is most simply ... SGD optimization will not be acceptable for graphs with more than a few ...

This paper describes an approach to the problem of Simultaneous Localization and. Mapping (SLAM) based on Stochastic Gradient Descent (SGD) and using ...

A new method to find correspondences between two omnidirectional images when the relative error between them is modeled by a gaussian distribution which ...