Accurate pose estimation plays an important role in solution of simultaneous localization and mapping (SLAM) problem, required for many robotic applications. This paper presents a new approach called R-SLAM, primarily to overcome systematic and non-systematic odometry errors which are generally caused by uneven floors, unexpected objects on the floor or wheel-slippage due to skidding or fast turns.The hybrid approach presented here combines the strengths of feature based and grid based methods to produce globally consistent high resolution maps within various types of environments.
Have you had the exasperating experience of a laptop orPDA defi antly not responding to your commands? Youfrantically press key after key, but to no avail. As hopeturns to anger (but just before you throw the company’slaptop through the window) you slam your fi nger againstthe on/off power button. Ten seconds later, your laptopfi nally surrenders and the screen goes black in a highpitched whimper.
該程序為基于粒子濾波的一種新算法,綜合MCMC Bayesian Model Selection即MONTE CARLO馬爾克夫鏈的算法,用來實現目標跟蹤,多目標跟蹤,及視頻目標跟蹤及定位等,解決非線性問題的能力比卡爾曼濾波,EKF,UKF好多了,是我珍藏的好東西,現拿出來與大家共享,舍不得孩子套不著狼,希望大家相互支持,共同促進.
