This article has focused on evaluation and identification of effective parameters in positioning performance with an odometry approach of an omni-directional mobile robot. Although there has been research in this field, but in this paper, a new approach has been proposed for mobile robot in positioning performance. With respect to experimental investigations of different parameters in omni-dire...

The increasing demand for real-time high-precision Visual Odometry systems as part of navigation and localization tasks has recently been driving research towards more versatile and scalable solutions. In this paper, we present a novel framework for combining the merits of inertial and visual data from a monocular camera to accumulate estimates of local motion incrementally and reliably reconst...

The aim of this thesis is to perform robot positioning, based on an odometry which is continuously corrected by different landmark detection systems demanding as less modifications as possible for the environment. Two independent correction systems (a supervised and an unsupervised) were implemented into two different experiences which represent the subject of this thesis. The supervised experi...

We propose a novel stereo visual odometry approach, which is especially suited for poorly textured environments. We introduce a novel, fast line segment detector and matcher, which detects vertical lines supported by an IMU. The patches around lines are then used to directly estimate the pose of consecutive cameras by minimizing the photometric error. Our algorithm outperforms state-of-the-art ...

We address problem of determining edge weights on a graph using non-backtracking closed walks from a vertex. We show that the weights of all of the edges can be determined from any starting vertex exactly when the graph has minimum degree at least three. We also determine the minimum number of walks required to reveal all edge weights.

Structure-From-Motion (SFM) methods, using stereo data, are among the best performing algorithms for motion estimation from video imagery, or visual odometry. Critical to the success of SFM methods is the quality of the initial pose estimation algorithm from feature correspondences. In this work, we evaluate the performance of pose estimation algorithms commonly used in SFM visual odometry. We ...

This paper proposes a novel technique to estimate slips and velocities of an unmanned ground vehicle (UGV). A visual odometry sensor looking down the terrain surface is employed to measure the motion of the UGV, by tracking features selected from the terrain surface. The visual odometry sensor can provide motion information even when the terrain surface contains no distinctive features. A slidi...

Inertial navigation systems (INS) are composed of inertial sensors, such as accelerometers and gyroscopes. An INS updates its orientation and position automatically; it has an acceptable stability over the short term, however this stability deteriorates over time. Odometry, used to estimate the position of a mobile robot, employs encoders attached to the robot’s wheels. However, errors occur ca...

Odometry is the most widely used navigation method for mobile robot positioning. In this paper motion control and positioning for a mobile robot working in a warehouse is presented. Odometry system configuration and wheel encoder used are detailed. The calculations of the distance travelled compared to the actual measured distance show some difference that are due to internal and external cause...

Visual Odometry is the process of estimating the movement of a (stereo) camera through its environment by matching point features between pairs of consecutive image frames. No prior knowledge of the scene nor the motion is necessary. In this work, we present a visual odometry approach using a specialized method of Sparse Bundle Adjustment. We show experimental results that proof our approach to...