Visual SLAM (VSLAM) has been develo** rapidly due to its advantages of low-cost
sensors, the easy fusion of other sensors, and richer environmental information. Traditional …

Autonomous navigation and positioning are key to the successful performance of unmanned
underwater vehicles (UUVs) in environmental monitoring, oceanographic map**, and …

In this chapter we present a modular Micro Aerial Vehicle (MAV) simulation framework,
which enables a quick start to perform research on MAVs. After reading this chapter, the …

Combining visual and inertial measurements has become popular in mobile robotics, since
the two sensing modalities offer complementary characteristics that make them the ideal …

It has been long known that fusing information from multiple sensors for robot navigation
results in increased robustness and accuracy. However, accurate calibration of the sensor …

This work investigates the relationship between system observability properties and
estimator inconsistency for a Vision-aided Inertial Navigation System (VINS). In particular …

The recent technological advances in Micro Aerial Vehicles (MAVs) have triggered great
interest in the robotics community, as their deployability in missions of surveillance and …

Visual-inertial simultaneous localization and map** (VI-SLAM) is popular research topic in
robotics. Because of its advantages in terms of robustness, VI-SLAM enjoys wide …

Intelligent unmanned systems have important applications, such as pesticide-spraying in
agriculture, robot-based warehouse management systems, and missile-firing drones. The …