We present a novel approach of Stereo Visual Odometry for vehicles equipped with
calibrated stereo cameras. We combine a dense probabilistic 5D egomotion estimation …

In this paper, we propose a novel, efficient stereo visual-odometry algorithm for ground
vehicles moving in outdoor environments. To avoid the drawbacks of computationally …

Visual odometry uses image information to estimate the ego-motion of a camera and is a
practical technique for the navigation of autonomous vehicles. This paper presents a novel …

Visual Odometry is one of the key technology for navigating and perceiving the environment
of an autonomous vehicle. Within the last ten years, a common sense has been established …

Estimating its ego-motion is one of the most important capabilities for an autonomous mobile
platform. Without reliable ego-motion estimation no long-term navigation is possible …

Visual odometry has been promoted as a fundamental component for intelligent vehicles.
Relying solely on monocular image cues would be desirable. Nevertheless, this is a …

Accurate localization constitutes a fundamental building block of any autonomous system. In
this article, we focus on stereo cameras and present a novel approach, dubbed SOFT2, that …

Visual odometry estimates the ego-motion of a vehicle using only the input of a single or
multiple cameras mounted on the vehicle. This paper focuses on the research of the stereo …

Visual Odometry is one of the most powerful, yet challenging, means of estimating robot ego-
motion. By grounding perception to the static features in the environment, vision is able, in …

Abstract Structure-From-Motion (SFM) methods, using stereo data, are among the best
performing algorithms for motion estimation from video imagery, or visual odometry. Critical …