In this paper, a direction of data point in the scan is approximated and this is incorporated into the scan matching algorithm to improve the performance. The ...

Using real sensor data of a laser range finder, experimental results verify the performance of the proposed algorithm, the direction augmented probabilistic ...

This paper presents a probabilistic scan matching algorithm to estimate the robot planar displacement by matching dense two-dimensional range scans.

In scan matching based localization, finding scan point correspondences across scans is challenging as individual scan points lack unique attributes. In camera.

The technique incorporate probabilistic scan matching with range scans gathered from a Mechanical. Scanning Imaging Sonar (MSIS) and the robot dead-reckoning.

Mar 1, 2022 · By masking radar observa- tions using a DNN before adopting a traditional brute-force scan matching procedure, mbym learns a feature embedding.

We begin by introducing an Image Augmented Scan. Matching (IASM) method that uses the color and texture cues around laser scan projections on images to ...

In this work we consider a mobile robot with a laser range finder. Our goal is to find the best set of lines from the sequence of points given by a laser scan.

Missing: probabilistic | Show results with:probabilistic

Apr 1, 2013 · Laser range finder and omnidirectional cameras are becoming a promising combination of sensors to extract rich environmental information.