Many applications of Visual SLAM, such as augmented reality, virtual reality, robotics or
autonomous driving, require versatile, robust and precise solutions, most often with real-time …

The navigation of a miniature aerial vehicle (MAV) in GPS-denied environments requires a
robust embedded visual localization method. In this paper, we describe a simple but efficient …

This paper considers collaborative stereo-vision as a mean of localization for a fleet of micro-air
vehicles (MAV) equipped with monocular cameras, inertial measurement units and …

This paper presents a mobile object detection algorithm which performs with two consecutive
stereo images. Like most motion detection methods, the proposed one is based on dense …

Visual-inertial Navigation Systems (VINS) are nowadays used for robotic or augmented
reality applications. They aim to compute the motion of the robot or the pedestrian in an …

This demonstrator paper describes a flight-tested, fully integrated perception-control loop for
trajectory tracking with obstacle avoidance by micro-air vehicles (MAV) in indoor cluttered …

We are concerned with dense height map reconstruction from aerial oblique image sequences.
This configuration occurs when estimating a DSM (digital surface model) of areas where …

We are concerned with DSM reconstruction from limited-angle aerial side-looking image
sequences. Despite this suboptimal configuration, we have devised a complete process starting …

This paper reports field tests of autonomous inspection in an industrial indoor facility by a
Micro-Air Vehicle (MAV) with no prior knowledge on the environment. Localization, mapping …

We propose solutions to provide unmanned aerial vehicles (UAV) with features to understand
the scene below and help the operational planning. First, using a visual mapping of the …