In this paper, we present a vision based robust pose estimation system in different observed situations for a quadrotor in outdoor environments. This system could provide us with approximate ground truth of pose estimation for an outdoor quadrotor, while most of existing vision based systems perform indoors. We only use the own features of the quadrotor, while most existing systems modify the a...

Standard quadrotor UAVs possess a limited mobility because of their inherent underactuation, i.e., availability of 4 independent control inputs (the 4 propeller spinning velocities) vs. the 6 dofs parameterizing the quadrotor position/orientation in space. As a consequence, the quadrotor pose cannot track arbitrary trajectories in space (e.g., it can hover on the spot only when horizontal). Sin...

Corresponding Author: Kil To Chong Department of Electronics Engineering, Chonbuk National University, Jeonju, South Korea Email: [email protected] Abstract: This paper addressed obstacle avoidance problem of a quadrotor in outdoor environment. Path planning was finished by employing classical Dijkstra algorithm and the controller of the quadrotor adopted integral backstepping method. In orde...

In this work, the main objective is to study the Optimal Kalman Filtering (OKF) method for estimating the state vector of a small quadrotor UAV through incorporating the internal disturbances including the white Gaussian process and measurement noises. Firstly, the kinematic and dynamic model of the quadrotor is transformed into a discrete-time system via the linear extrapolation method. Second...

This paper presents the design, analysis, and real-time experimental evaluation results of a nonlinear sensor fault diagnosis scheme for quadrotor unmanned air vehicles (UAV). The objective is to detect, isolate, and estimate sensor bias faults in accelerometer and gyroscope measurements. Based on the quadrotor dynamics and sensor models under consideration, the effects of sensor faults are rep...

The objective of this paper is to present a full-stack, real-time kinodynamic planning framework and demonstrate it on a quadrotor for collision avoidance. Specifically, the proposed framework utilizes an offlineonline computation paradigm, neighborhood classification through machine learning, sampling-based motion planning with an optimal control distance metric, and trajectory smoothing to ac...

This paper deals with the design of a fault tolerant control (FTC) of a quadrotor aircraft system, considering the actuator faults. The attitude dynamic model of quadrotor, taking into account the various parameters which can affect the dynamics of this system in space is presented. Subsequently, based on robust adaptive-backstepping method and taking into account the actuator faults, a new FTC...

In this paper, the particular solution technique for inverse simulation applied to the quadrotor maneuvering flight is investigated. The ‎trust-region dogleg (DL) technique which is proposed alleviates the weakness of Newton’s method used for numerical differentiation of system states in the solution process. The proposed technique emphasizes global convergence solution to the inverse simulatio...

This paper describes an integrated path planning and tracking control framework for autonomous verticaltake-off-and-landing (VTOL) vehicles, specially a quadrotor. The path planning adopts a receding horizon strategy to repeatedly plan a local trajectory that satisfies the vehicle dynamics and obstacle avoidance requirement. A tracking controller is then designed to track the optimised path. Th...

We describe a trajectory planning pipeline for large quadrotor teams in obstacle-rich environments. We construct a sparse roadmap in the environment and use a boundedsuboptimal conflict-based graph search to generate a discrete plan. We then refine this plan into into smooth trajectories using a spatial partition and Bézier curve basis. We model downwash directly, allowing safe flight in dense ...