UAV patrol path planning based on machine vision and multi-sensor fusion

نویسندگان

چکیده

Abstract With the rapid development of unmanned aerial vehicle (UAV) technology, there are more and fields UAV application. This research mainly discusses patrol path planning based on machine vision multi-sensor fusion. article studies how to apply ultrasonic, a classic ranging sensor, obstacle avoidance UAVs. The designed ultrasonic system is complete set hardware software systems. part consists forward module central signal processing module. Among them, single-axis stabilization gimbal for module, which decouples attitude angle pitch detection sensor. In Kalman filtering performed data in four directions front, rear, left, right, control sent flight controller according filtered sensor data. At same time, human–computer interaction interface also various parameters system. For route method tower, routine steps used inspect tower with single-circuit line, specific targets insulator string, ground wire, conductor. this study, average statistical result straight-line distance patrolling 100 m 99.80 m, error only 0.2%. fusion suitable engineering application perception avoidance. adopted can be extended most platforms, it broad prospects.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-Agent UAV Path Planning

This paper introduces a simulation designed to test real-time path planning done by single and multiple agents. The components of the simulation include a road network, several Uninhabited Aerial Vehicles (UAVs) with electro-optic sensors, a target and an Uninhabited Ground Vehicle (UGV). The target and UGV are located on the road network. Random blockages are placed on the road network, possib...

متن کامل

Adaptive Multi-Agent Path Planning for Distributed UAV Systems

In recent years, unmanned aerial vehicles (UAVs) have become increasingly prevalent in the modern world. These systems are used for a wide variety of applications, from recreation and entertainment to warfare and espionage. UAVs are favored for their low cost and low risk, not to mention their ability to execute tasks in environments which might be inaccessible or dangerous to humans. In tactic...

متن کامل

CoUAV: a multi-UAV cooperative search path planning simulation environment

Sophisticated multi-unmanned aerial vehicle (UAV) simulation environments developed so far intrinsically paid significant attention on high-fidelity flight control system components to realistically account for low-level decision support. However, the use of these simulators often incurs a large overhead when focusing on cooperative high-level decision tasks, such as planning in mobile sensor n...

متن کامل

Enhanced discrete particle swarm optimization path planning for UAV vision-based surface inspection

In built infrastructure monitoring, an efficient path planning algorithm is essential for robotic inspection of large surfaces using computer vision. In this work, we first formulate the inspection path planning problem as an extended travelling salesman problem (TSP) in which both the coverage and obstacle avoidance were taken into account. An enhanced discrete particle swarm optimisation (DPS...

متن کامل

Robot Path Planning Using SIFT and Sonar Sensor Fusion

This paper presents a novel map building approach for path planning purposes, which takes into account the uncertainty inherent in sensor measurements. To this end, Bayesian estimation and Dempster-Shafer evidential theory are used to fuse the sensory information and to update the occupancy and evidential grid maps, respectively. The approach is illustrated using actual measurements from a labo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Open Computer Science

سال: 2023

ISSN: ['2299-1093']

DOI: https://doi.org/10.1515/comp-2022-0276