We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
- Monte Carlo localization is known to be one of the most reliable methods for pose estimation of a mobile robot. Many studies have been conducted to improve performance of MCL. Al...
We present an overview of FAB-MAP, an algorithm for place recognition and mapping developed for infrastructure-free mobile robot navigation in large environments. The system allow...
A `Moving Window' scheme for detecting lanes, obstacles and corridor environments from the images captured by a CCD camera in an automobile or mobile robot is proposed. Proce...
This paper proposes a novel technique to extract range using a phase-only filter for a laser beam. The workspace is partitioned according to M meaningful preplanned range segments...