Accurate state estimation for a mobile robot often requires the fusion of data from multiple
sensors. Software that performs sensor fusion should therefore support the inclusion of a …

Visual odometry (VO) is the process of estimating the egomotion of an agent (eg, vehicle,
human, and robot) using only the input of a single or multiple cameras attached to it …

In this paper, we present a novel integrated vehicular system using collaborative unmanned
aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) for autonomous exploration …

A common prerequisite for many vision-based driver assistance systems is the knowledge of
the vehicle's own movement. In this paper we propose a novel approach for estimating the …

We develop a real-time method to detect and track moving objects (DATMO) from unmanned
aerial vehicles (UAVs) using a single camera. To address the challenging characteristics of …

This paper describes a novel framework to determine the relative pose and range of a solid-
of-revolution-shaped spacecraft from a single image without any artificial beacons. The …

Applications based on stereo vision are becoming increasingly common, ranging from
gaming over robotics to driver assistance. While stereo algorithms have been investigated …

Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of
the UAV's Global Positioning System (GPS) receiver. This paper presents a vision-based …

In this paper, we investigate the problem of visual odometry for ground vehicles based on
the simultaneous utilization of multispectral cameras. It encompasses a stereo rig composed …

Precise knowledge of a robots's ego-motion is a crucial requirement for higher level tasks
like autonomous navigation. Bundle adjustment based monocular visual odometry has …