Cellular Communication-Based Autonomous UAV Navigation with Obstacle Avoidance for Unknown Indoor Environments

Abstract

The technology of Unmanned Aerial Vehicles (UAV) has been the subject of pioneering research in recent years. Also, the subject has been used in various situations for both outdoor and indoor. In this paper, a cellular communication-based autonomous UAV Navigation is proposed that enables UAVs to maneuver independently in previously unknown and GPS-denied indoor environments with LiDAR sensors. The main idea of the proposed scheme is to implement LTE connection to UAV Navigation and compared it to a Wi-Fi connection. We have proposed that autonomous UAV navigation system for unknown environment like indoor. This system relies on the combination of ROS-based Hector SLAM systems, 2D-LiDAR sensor and LTE connection. The performance of proposed scheme is evaluated as the error distance and exploration time for unknown area like indoor environment. The mapping efficiency of LTE connection is 57.5% greater than the Wi-Fi connection. Computation time for flight is approximately 200 seconds.

Performance Evaluation Based on Multi-UAV in Airborne Computer Network System

“…3 to configure the proposed system mentioned in Fig. 4, where the use of In the proposed system 5, 10, 15 drones, while in the research [31] only 5 drones were used, and in the research [23] only one drone was used.…”

“…The results of the mathematical discrimination are useful for reducing the number of instructions and loops, which allows microcontrollers to run at their fastest speeds when performing tasks with minimal repetition. In [23], unmanned navigation with obstacle avoidance based on cellular communications has been proposed, and the performance in indoor scenarios with drone movements has been demonstrated. Whereas, drones were only used in the indoor environment.…”

“…The motivation for us in this work was through research [23], from which we were inspired by the idea of this work and our launch began with it, as our goal was how to transfer data in the form of UDP (User Datagram Protocol) video stream via drones and how to increase the number of drones Without loss in data transmission. In this paper, the wellknown problem is how to transmit data in UDP video stream without loss in the data being transmitted and how to calculate throughput, propagation time, and the number of packets and in this regard, we were helped with that by the use of OMNET++ simulation with AVENS that communicates with the X-PLANE through which the movement of the drones is carried out and the coordinates of the drones are known, which is done by an XML file, and because of AVENS, we have a platform integration.…”

Airborne Computer System Based Collision-Free Flight Path Finding Strategy Design for Drone Model

“…Several technical terms are also used when referring to "drones" such as unmanned aerial vehicles (UAVs), unmanned aircraft systems (UAS), remotely piloted vehicles (RPV), and remotely piloted aircrafts (RPA) [2]. Over the past years, many researchers have focused on drone-based airborne computing systems that have been applied in many various fields such as air defence, precision agriculture, search and rescue operations as well as smart transport because of their outstanding advantages such as flexibility, light weight, strong mobility and good concealment [3,4]. In addition, the drone quadcopter is useful in different fields such as monitoring systems and inspection systems in dangerous areas.…”

“…In addition, an on-line collision-free path generation and navigation system for drones was proposed in [11] based on geographical locations of the drone system. In [3], the authors presented a cellular communication-based connection for an autonomous drone with a LiDAR sensor and Hector SLAM for obtaining the best flight path of the drone in an indoor environment. The Astar algorithm was adopted in [6] to generate an optimal flight path in global environment with dynamic path planning of the drone.…”