Lidar has become an essential sensor for autonomous driving as it provides reliable depth
estimation. Lidar is also the primary sensor used in building 3D maps which can be used …

This paper presents two techniques to detect and classify navigable terrain in complex three‐
dimensional (3D) environments. The first method is a low level on‐line mechanism aimed at …

The number of fatal accidents involving pedestrians and bikers at urban intersections is still
increasing. Therefore, an intersection-based perception system provides a dynamic model …

This paper proposes a method to reconstruct three-dimensional (3D) objects using real-time
fusion and analysis of multiple sensor data. This paper attempts to create a realistic 3D …

This thesis aims at improving robot perception for autonomous navigation in highly dynamic
environments. In the first part of this research, a fixedframe visual localization method …

Obstacle avoidance and available road identification technologies have been investigated
for autonomous driving of an unmanned vehicle. In order to apply research results to …

In this paper, a convergent multimedia application for filtering traces of dynamic objects from
accumulated point cloud data is presented. First, a fast ground segmentation algorithm is …

This paper presents an analysis of uncertainty in the calibration of a network of cameras. A
global 3D scene model, acquired with a LIDAR scanner, allows calibrating cameras with …

We address the problem of fusing laser ranging data from multiple mobile robots that are
surveying an area as part of a robot search and rescue or area surveillance mission. We are …

We address the problem of fusing laser and RGB-Data from multiple robots operating in
close proximity to one another. By having a team of robots working together, a large area …