Scope The autonomous navigation in agricultural environments allows also to carry out autonomous operations of special interest in agriculture environments. The goal of an autonomous navigation is to cover all the required areas where the operation has to be made. We take into account different navigation strategies using proper sensors being also able to detect references which makes possible ...

This paper presents a software solution for multiple sensor integration for autonomous vehicle navigation. The system unique features and shortcomings are taken into account to implement the fusion of an inertial navigation system (INS) with measurements from global navigation satellite system (GNSS), altimeter, odometer and magnetometer employing a complementary extended Kalman filter to produ...

Navigation and application functionality of mobile robots rely on their collision-avoiding capabilities, also known as local navigation. We present the mobile robot ARTOS (Autonomous Robot for Transport and Service) that is particularly designed to operate in living environments and therefore faces the problem of fuzzy and unstructured obstacles. The local navigation architecture is motivated r...

Recommended by Matthijs Spaan This paper investigates the possibility of augmenting an Unmanned Aerial Vehicle (UAV) navigation system with a passive video camera in order to cope with long-term GPS outages. The paper proposes a vision-based navigation architecture which combines inertial sensors, visual odometry, and registration of the on-board video to a geo-referenced aerial image. The visi...

This paper describes XFRMLEARN, a system that learns symbolic behavior specifications to control and improve the continuous sensor-driven navigation behavior of an autonomous mobile robot. The robot is to navigate between a set of predefined locations in an office environment and employs a navigation system consisting of a path planner and a reactive collision avoidance system. XFRMLEARN ration...

This paper describes XFRMLEARN, a system that learns symbolic behavior specifications to control and improve the continuous sensor-driven navigation behavior of an autonomous mobile robot. The robot is to navigate between a set of predefined locations in an office environment and employs a navigation system consisting of a path planner and a reactive collision avoidance system. XFRMLEARN ration...

The ability to detect and navigate drivable road surfaces is an important research area in autonomous navigation for use in autonomous vehicles. In this paper, a probabilistic computer vision algorithm for segmentation of tarred road surfaces is developed. Using a calibrated camera, a projection of a local obstacle map is then laid over the segmented image and an estimate is made of the likelih...

The present paper compares the effect of different waypoint parameters on the flight performance of a special autonomous indoor UAV (unmanned aerial vehicle) fusing ultrasonic, inertial, pressure and optical sensors for 3D positioning and controlling. The investigated parameters are the acceptance threshold for reaching a waypoint as well as the maximal waypoint step size or block size. The eff...

The application of robotics and autonomous systems in space has increased dramatically. The ongoing Mars rover mission involving the Curiosity rover, along with the success of its predecessors, is a key milestone that showcases the existing capabilities of robotic technology. Nevertheless, there has still been a heavy reliance on human tele-operators to drive these systems. Reducing the relianc...

Road region recognition is a main feature that is gaining increasing attention from intellectuals because it helps autonomous vehicle to achieve a successful navigation without accident. However, different techniques based on camera sensor have been used by various researchers and outstanding results have been achieved. Despite their success, environmental noise like shadow leads to inaccurate ...