Dynamic map building for an autonomous mobile robot
International Journal of Robotics Research
Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Brief Paper: Box particle filtering for nonlinear state estimation using interval analysis
Automatica (Journal of IFAC)
Inner and outer approximations of existentially quantified equality constraints
CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
Technical Communique: Nonlinear bounded-error state estimation of continuous-time systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Constraints propagation techniques on intervals for a guaranteed localization using redundant data
Automatica (Journal of IFAC)
Hi-index | 22.14 |
This paper deals with offline nonlinear state estimation where measurements are available only when some given equality conditions are satisfied. For this type of problems, which are often met in robot localization when sonar or radar are involved, the data are qualified as fleeting because the measurements are available only at some given unknown dates. In this paper, the first approach able to deal with nonlinear estimation with fleeting data is presented. An illustration related to offline robot localization with a laser rangefinder will be given.