Information Fusion based on multi-sensor of mobile robot

the meaning of Multisensor information Fusion : It can effectively solve the fuzzy point of single sensor to observe and explain the environment more accurately.

Multi-Sensor information fusion method (algorithm):

　　Classical Reasoning method, weighted average method, Kalman filter, Bayesian estimation, D-S evidence theory, statistical decision theory, cluster analysis, parametric template, entropy method, quality factor method, estimation theory, expert system method, production rule, artificial neural network, fuzzy inference, rough set theory, wavelet analysis, support vector machine

Multi-sensor Information Fusion architecture : Centralized, distributed, hybrid

Multi-sensor information Fusion hierarchy : Data layer, feature layer, decision-making

the essence of Path planning for mobile robot : Navigation and collision avoidance in mobile robot's moving process

According to the robot's understanding of the environment, the path planning algorithm is divided into:

1. Planning algorithm based on environment Model: Grid method, visual graph method, topological method

2. A programming algorithm based on sensor information: Artificial potential field method, grid method and fuzzy logic method

3. Behavioral-based planning algorithms:

Mobile Robot Mobile : wheeled, crawler, leg type, propulsion (underwater robot)

Drive control for mobile robots :

positioning of mobile robots : relative positioning, absolute positioning.

Sensors : Ultrasonic, sonar, microwave radar, infrared ranging, laser rangefinder, CCD image sensor, camera

Hilare mobile robot:

　　Tactile, auditory, two-dimensional vision, laser ranging

Stanford mobile robot:

　　Tactile, stereoscopic vision, ultrasonic sensors

Carnegie-mellon University Robotics Center CMU Autonomous Land vehicle:

DARPA Autonomous Land vehicle ALV: