@inproceedings {pub3914pub4030,
	title = {Outdoor Particle Filter Localization with Sparse Observation},
	author = {Nils Einecke AND Andrej Robert},
	year = {2019},
	month = {December},
	abstract = {Nowadays, autonomous lawn mowers are widely used in Europe. The robust autonomous operation and the ease of installation has lead to a substantial market share. Most autonomous lawn mowers move in a random fashion or with simple patterns because their self-localization capabilities are very limited. In this work, we analyze the potential of using apriori information about the shape of the boundary wire in combination with electromagnetic wire sensor readings for a particle-filter-based localization. In our experiments, this approach enables us to completely compensate for odometry drift. We achieve an accuracy of 20cm to 30cm in position and \ang{3} in orientation for common garden sizes.},
	publisher = {IEEE},
	booktitle = {International Conference on Advanced Robotics},
	pages = {590-597}
}