Trajectory Planning for autonomous Unmanned Air Vehicles (Dept.E)
نویسندگان
چکیده
منابع مشابه
Trajectory planning for autonomous underwater vehicles
1.1 Trajectory planning This chapter is a contribution to the field of Artificial Intelligence. Artificial Intelligence can be defined as the study of methods by which a computer can simulate aspects of human intelligence (Moravec, 2003). Among many mental capabilities, a human being is able to find his own path in a given environment and to optimize it according to the situation requirements. ...
متن کاملLow-observable Nonlinear Trajectory Generation for Unmanned Air Vehicles
This paper explores low observability flight path planning of unmanned air vehicles (UAV’s) in the presence of radar detection systems. The probability of detection model of an aircraft near an enemy radar depends on aircraft attitude, range, and configuration. A detection model is coupled with a simplified aircraft dynamics model. The Nonlinear Trajectory Generation (NTG) software package deve...
متن کاملSafe Trajectory Planning of Autonomous Vehicles
This thesis presents a novel framework for safe online trajectory planning of unmanned vehicles through partially unknown environments. The basic planning problem is formulated as a receding horizon optimization problem using mixed-integer linear programming (MILP) to incorporate kino-dynamic, obstacle avoidance and collision avoidance constraints. Agile vehicle dynamics are captured through a ...
متن کاملTrajectory Planning for Unmanned Vehicles using Robust Receding Horizon Control
This thesis presents several trajectory optimization algorithms for a team of cooperating unmanned vehicles operating in an uncertain and dynamic environment. The first, designed for a single vehicle, is the Robust Safe But Knowledgeable (RSBK) algorithm, which combines several previously published approaches to recover the main advantages of each. This includes a sophisticated cost-to-go funct...
متن کاملRobust Trajectory Planning for Unmanned Aerial Vehicles in Uncertain Environments
As unmanned aerial vehicles (UAVs) take on more prominent roles in aerial missions, it becomes necessary to increase the level of autonomy available to them within the mission planner. In order to complete realistic mission scenarios, the UAV must be capable of operating within a complex environment, which may include obstacles and other no-fly zones. Additionally, the UAV must be able to overc...
متن کاملذخیره 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: MEJ. Mansoura Engineering Journal
سال: 2020
ISSN: 2735-4202
DOI: 10.21608/bfemu.2020.128704