Adaptive weighted average sensor fusion algorithms for mobile robots Academic Article uri icon

abstract

  • This paper presents a new set of sensor fusion algorithms for mapping the environment of mobile robots using grid maps. The algorithms use the adaptive weighted average method and consider as weights the number of times each cell was sampled by the sensor. Analysis in an indoor mobile robot experiment indicated superior performance of one of the new algorithms when compared to a previously developed adaptive fuzzy logic algorithm. KEYWORDS sensor fusion, algorithms, robotics and autonomous mobile robots.

publication date

  • January 1, 2007