Autonomous mobile robots are becoming more prominent in recent time because of their
relevance and applications to the world today. Their ability to navigate in an environment …

Using a single sensor to determine the pose estimation of a device cannot give accurate
results. This paper presents a fusion of an inertial sensor of six degrees of freedom (6-DoF) …

Self-driving or autonomous vehicles require an ability to detect road lanes. In order to do so,
a vanishing point should be first detected because the vanishing point exists on the …

LIDAR (Light Detection And Ranging) is widely used in forestry applications to obtain
information about tree density, composition, change, etc. An advantage of LIDAR is its ability …

Camera calibration plays an important role in the field of machine vision applications. The
popularly used calibration approach based on 2D planar target sometimes fails to give …

Robust model fitting is an important task for modern electronic industries. In this paper, an
efficient robust model-fitting method is proposed to estimate model hypotheses for …

Recently, despite the promising progress having been achieved, most mismatch removal
methods only consider the connection relationships of feature matches in a single …

A critical problem faced by computer vision on mobile devices is reducing the computational
cost of algorithms and avoiding visual stalls. In this paper, we introduce a procedure for …

Due to their good approximation accuracy and local fitting characteristics, the moving least
squares (MLS) and moving total least squares (MTLS) methods are widely used in various …

Although RANSAC is proven to be robust, the original RANSAC algorithm selects
hypothesis sets at random, generating numerous iterations and high computational costs …