Study on Intelligent Obstacle Avoidance and Autonomous Navigation

Meng Long Cao; Li Na Sun

doi:10.4028/www.scientific.net/AMM.182-183.1333

Paper Titles

A Novel Control Scheme Based on Improved RBF Neural Network
p.1313

An Optimization of Targeting in Chaotic Systems Based on Numerical Simulation
p.1318

A Modeling Method of Wideband Devices Based on Modified Nodal Analysis
p.1323

The Simulation of Submarine-Launched Missile Out-Water Movement Based on MATLAB/Simulink
p.1328

Study on Intelligent Obstacle Avoidance and Autonomous Navigation
p.1333

Numerical Simulation of Outburst Prevention Effect of High-Pressure Mini-Jet Fracturing Coal
p.1338

Fast Volume Rendering Techniques for 3D Reconstruction of Geological Objects
p.1343

Design of Peer-to-Peer Traffic Classification System Model Based on Cloud Computing
p.1347

A Novel QoS Guaranteed Cross-Layer Scheduling Scheme for Downlink Multiuser OFDM Systems
p.1352

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 182-183Study on Intelligent Obstacle Avoidance and...

Study on Intelligent Obstacle Avoidance and Autonomous Navigation

Abstract:

Precise navigation and localization of the autonomous rover in unknown environment is important both for its own safety as well as for its ability to accomplish engineering and scientific objectives. In order to navigation autonomously the rover should have the ability of apperceiving the environment and avoiding the obstacles. Laser range finder is used to rebuild the environment and fuzzy reasoning method is used to avoid obstacles. Most importantly the rover process the sensor data to produce an estimate of its position while concurrently building a map of the environment. The improved filter algorithm is proposed to make the method feasible.

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Periodical:

Applied Mechanics and Materials (Volumes 182-183)

Pages:

1333-1337

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.182-183.1333

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Online since:

June 2012

Authors:

Meng Long Cao, Li Na Sun

Keywords:

Autonomous Navigation, Intelligent Obstacle Avoidance, Simultaneous Localization, Simultaneous Map Building, Unknown Environment

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