@inproceedings{DurrantWhyteSukkariehRamosetal., author = {Durrant-Whyte, Hugh and Sukkarieh, Salah and Ramos, Fabio and Bailey, Tim and Kumar, Suresh and Ong, Lee-Ling and Ridley, Matthew and Kaupp, Tobias and Douillard, Bertrand and Upcroft, Ben}, title = {Non-gaussian state estimation in an outdoor decentralised sensor network}, series = {Proceedings of the 45th IEEE Conference on Decision and Control}, booktitle = {Proceedings of the 45th IEEE Conference on Decision and Control}, publisher = {IEEE}, address = {Piscataway}, doi = {10.1109/CDC.2006.377533}, pages = {366 -- 372}, abstract = {This paper presents the development and demonstration of non-Gaussian, decentralised state estimation using an outdoor sensor network consisting of an autonomous air vehicle, a manual ground vehicle, and two human operators. The location and appearance of landmarks were estimated using bearing only observations from monocular cameras. We show that inclusion of visual and identity information aids validation gating for data association when geometric information alone cannot discriminate individual landmarks. The combination of geometric, appearance, and identity information provided a common description (or map) of natural features for each of the nodes in the network. We also show the final map from the live demonstration which includes position estimates and classification labels of the observed features.}, language = {en} }