This paper deals with the calibration of a visual system, consisting of RGB cameras and 3D
Light Detection And Ranging (LiDAR) sensors. Registering two separate point clouds …

Geometric model fitting is a typical chicken-&-egg problem: data points should be clustered
based on geometric proximity to models whose unknown parameters must be estimated at …

Using unmanned aerial vehicles (UAV) as devices for traffic data collection exhibits many
advantages in collecting traffic information. This paper introduces a new vehicle detecting …

A RANSAC based procedure is described for detecting inliers corresponding to multiple
models in a given set of data points. The algorithm we present in this paper (called …

Despite the recognized benefits of electronic toll collection (ETC) system as an important
part of toll plaza area, the mixed traffic of electronic toll collection (ETC) vehicles and manual …

A novel idea on how to make RANSAC repeatable is presented, which will find the optimal
set in nearly every run for certain types of applications. The proposed algorithm can be used …

One of the main difficulties in using robotic welding in low to medium volume manufacturing
or repair work is the time taken to programme the robot to weld a new part. It is often cheaper …

Random hypothesis generation is central to robust geometric model fitting in computer
vision. The predominant technique is to randomly sample minimal subsets of the data, and …

We present a robust estimator for fitting multiple parametric models of the same form to noisy
measurements. Applications include finding multiple vanishing points in man-made scenes …

This paper presents an automated solution to the visual inspection problem of hydroelectric
dams. A small autonomous underwater vehicle, controllable in four degrees of freedom …