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 …

Mobile robot vision-based navigation has been the source of countless research
contributions, from the domains of both vision and control. Vision is becoming more and …

In this paper, we describe a real-time algorithm for computing the ego-motion of a vehicle
relative to the road. The algorithm uses as input only those images provided by a single …

We present a simple approach for vision-based path following for a mobile robot. Based
upon a novel concept called the funnel lane, the coordinates of feature points during the …

For mobile robots to be able to work with and for people and thus operatein our everyday
environments, they need to be able to acquire knowledge through perception. In other words …

We present a novel, simple algorithm for mobile robot navigation. Using a teach-replay
approach, the robot is manually led along a desired path in a teaching phase, then the robot …

In this paper, we propose VINS-Vehicle, a novel tightly-coupled vehicle dynamics extension
to visual-inertial navigation system (VINS) framework. Degenerate motions, such as uniform …

We describe a robust method to estimate egomotion in highly dynamic environments. Our
application is a head mounted stereo system designed to help the visually impaired …

Many model-based Visual Odometry (VO) algorithms have been proposed in the past
decade, often restricted to the type of camera optics, or the underlying motion manifold …

Altitude is one of the most important parameters to be known for an Unmanned Aerial
Vehicle (UAV) especially during critical maneuvers such as landing or steady flight. In this …