設計與實現蒙特卡羅法用於汽車姿態與位置的估測

• Main Authors: Yi-chi Chiu, 邱奕齊
• Other Authors: none
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/39190184239354455623

碩士 === 國立高雄第一科技大學 === 電機工程研究所碩士班 === 104 === During those time, high accident rate became the social problem. We need by use autonomous driving to solve those problem. In autonomous driving car the very important information are attitude and position. For more accurate and stable attitude and position information we propose to use Monte Carlo Localization to increase the accuracy. For more accurate positions are calculated by using low-cost IMU and GPS data with Monte Carlo Localization. For a better controlling, this paper also proposes a dead reckoning method which using previous position, velocity and direction of automobile to predict current position.