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» Improving MAV pose estimation using visual information
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ISMAR
2006
IEEE
15 years 5 months ago
Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes
Augmented Reality (AR) aims to fuse a virtual world and a real one in an image stream. When considering only a vision sensor, it relies on registration techniques that have to be ...
Muriel Pressigout, Éric Marchand
IBPRIA
2005
Springer
15 years 5 months ago
A Real-Time Driver Visual Attention Monitoring System
Abstract. This paper describes a framework for analyzing video sequences of a driver and determining his level of attention. The proposed system deals with the computation of eyeli...
Jorge Batista
CVPR
2004
IEEE
16 years 1 months ago
Visual Odometry and Map Correlation
In this paper, we study how estimates of ego-motion based on feature tracking (visual odometry) can be improved using a rough (low accuracy) map of where the observer has been. We...
Anat Levin, Richard Szeliski
102
Voted
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
15 years 5 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos
107
Voted
JFR
2007
94views more  JFR 2007»
14 years 11 months ago
Vision-aided inertial navigation for pin-point landing using observations of mapped landmarks
In this paper we describe an Extended Kalman Filter (EKF) algorithm for estimating the pose and velocity of a spacecraft during Entry, Descent and Landing (EDL). The proposed esti...
Nikolas Trawny, Anastasios I. Mourikis, Stergios I...