1、Dissanayake, M. W. M. G., et al. "A solution to the simultaneous localization and map building (SLAM) problem." Robotics and Automation, IEEE Transactions on 17.3 (2001): 229-241. 2、Durrant-Whyte, Hugh, and Tim Bailey. "Simultaneous localization and mapping: part I." Robotics & ...
网络释义 1. 同时定位与地图创建 www.dictall.com|基于3个网页 2. 同步定位和地图创建 ...“鸡和蛋”的问题.被学术界简称为SLAM 问题,即同步定位和地图创建(simultaneous localization and map building)问题,随… blog.sina.com.cn|基于2个网页
aThe simultaneous localization and map building (SLAM) techniques tries to solve the problem where an autonomous vehicle starts in an unknown location in an unknown environment to incrementally build a map of this environment. 解决问题的同时 (地方化) 和地图大厦响声技术尝试,一辆自治车在一个未知的...
simultaneous map building and localization can be seen to present a question of which came fifirst, the chicken or the egg? (The map or the motion?) starting from the unknown location of the unknown environment, the robot locates its own position and attitude through repeated observation of en...
The full covariance solution to simultaneous localization and map building based on extended Kalman filter requires update time quadratic in the number of landmarks in the map. In order to improve the computational efficiency, this paper reorganizes system state vector and system models. The state ...
Mobile Robot Based on Sonar Simultaneous Localization and Map Building An improved method is proposed for grid map building with ultrasonic sensor information to get more accurate positioning and map building.Based on fusion o... H Sun,X Ye,H Kai 被引量: 2发表: 2011年 Improvement of the ...
Simultaneous Localization and Map Building When absolute position information is not available it is still possible to navigate with small errors for long periods of time. The SLAM algorithm addresses the problem of a vehicle with known kinematics, starting at an unknown position and moving through ...
This paper presents an optimization solution for the simultaneous localization and map building (SLAM) problem. The full covariance solution based on extended Kalman filter (EKF) requires update time quadratic in the number of landmarks in the map. This paper reconstructs system state vector and ...
4. 2.5D Map Representation and Relocation 第四节首先说明了传统的栅格地图和特征地图的不足,然后提出了一种2.5D地图,即将竖直于同一栅格的特征地图信息存放在该栅格中,使栅格拥有了更多的环境信息。 最后提出了他们的重定位算法: 1.用BoW提取当前帧的特征 ...
1. Introduction * Hybrid simultaneous localization and map building: a natural integration of topological and metric We previously introduced the SegSLAM algorithm, an approach to the simultaneous localization and mapping (SLAM) problem that divides the environment up into segments, or submaps, using ...