Motion Planning for an Autonomous Helicopter in a GPS-denied Environment
نویسندگان
چکیده
The paper is focused on the development of algorithms for motion planning of an autonomous helicopter in a GPS-denied environment. Methods for determining the location of the helicopter, during the flight, are presented. The methodology is based on a lightweight laser range finder as a sole onboard sensor. The sensor reading interpretation are combined with various path planning algorithms according to the vehicle-environment size ratio. Two different environments are studied: a tight environment where travel distances and obstacle dimensions are in the order of the rotor diameter, and an open environment where obstacles are much larger than the rotor diameters. For each environment, two cases are considered: a case where the map of the environment is entirely known a priory, and a case where obstacles are discovered during the flight.
منابع مشابه
Sampling-Based Real-Time Motion Planning under State Uncertainty for Autonomous Micro-Aerial Vehicles in GPS-Denied Environments
This paper presents a real-time motion planning approach for autonomous vehicles with complex dynamics and state uncertainty. The approach is motivated by the motion planning problem for autonomous vehicles navigating in GPS-denied dynamic environments, which involves non-linear and/or non-holonomic vehicle dynamics, incomplete state estimates, and constraints imposed by uncertain and cluttered...
متن کاملMonocular-SLAM-based navigation for autonomous micro helicopters in GPS-denied environments
Autonomous micro aerial vehicles (MAVs) will soon play a major role in tasks such as search and rescue, environment monitoring, surveillance, and inspection. They allow us to easily access environments to which no humans or other vehicles can get access. This reduces the risk for both the people and the environment. For the above applications, it is, however, a requirement that the vehicle is a...
متن کامل3D Path Planning and Obstacle Avoidance on Mesh Maps
Exploration is a challenging tasks in mobile robotics, which has been discussed to a great extend for ground robots. Its application on Micro Aerial Vehicles (MAVs), however, produces unique challenges. In this paper we present an approach for map-exploration designed for a quadrotor helicopter navigating through GPS-denied indoor envirionment using a single fisheye camera as primary sensor. Ba...
متن کاملVision-Based Control of a Multi-Rotor Helicopter
Autonomous air vehicles frequently rely on GPS as a primary source of state feedback. However, relying on GPS disallows operation in enclosed spaces, under heavy vegetation or near large obstacles since GPS does not provide sufficient accuracy in these environments. Similar work in GPS-denied navigation uses laser-based odometry, structured-light or places visual markers in the environment. The...
متن کاملIntelligent Auto pilot Design for a Nonlinear Model of an Autonomous Helicopter by Adaptive Emotional Approach
There is a growing interest in the modeling and control of model helicopters using nonlinear dynamic models and nonlinear control. Application of a new intelligent control approach called Brain Emotional Learning Based Intelligent Controller (BELBIC) to design autopilot for an autonomous helicopter is addressed in this paper. This controller is applied to a nonlinear model of a helicopter. This...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010