APPLYING WIDE-ANGLE CAMEＲA IN ＲOBOT VISION LOCALISATION

为了保证广角摄像机在现代机器人视觉定位应用中的准确性,以广角摄像机像素坐标的反畸变过程为研究对象,提出一种在畸变对应表的基础上使用中心迭代法以及区域插值法确定物体实际位置的方法。通过实验证明了该方法能够测量物体的位置,其精度能够满足工业使用要求

Mobile robot localization based on particle filter

This paper proposes a self-localization algorithm for mobile robot based on particle filter algorithm. It uses the Monte Carlo method to solve the integral operation of the Bayesian estimation. In order to make the self-localization algorithm real-time, the sequence of importance sampling (SIS) method is introduced. Considering the actual environment, the grid map modal is created. In the inspection process of the robot, Environment map is updated by the Monte Carlo algorithm. This paper designs probability motion modal, detection modal and observation modal of robot, and make a simulation test. The results show that when the robot is on patrol, it can know its position and update the environment map in real time. © 2014 IEEE

Mobile robot localization based on particle filter

This paper proposes a self-localization algorithm for mobile robot based on particle filter algorithm. It uses the Monte Carlo method to solve the integral operation of the Bayesian estimation. In order to make the self-localization algorithm real-time, the sequence of importance sampling (SIS) method is introduced. Considering the actual environment, the grid map modal is created. In the inspection process of the robot, Environment map is updated by the Monte Carlo algorithm. This paper designs probability motion modal, detection modal and observation modal of robot, and make a simulation test. The results show that when the robot is on patrol, it can know its position and update the environment map in real time. © 2014 IEEE