著者

Hossein Tehrani Niknejad Mita Seiichi Han Long Huy Quoc

出版者

Society of Automotive Engineers of Japan, INC

雑誌

International Journal of Automotive Engineering (ISSN:21850984)

巻号頁・発行日

vol.3, no.1, pp.19-25, 2012 (Released:2016-03-25)

参考文献数

14

被引用文献数

1 4

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Inexpensive implementation of localization and environment mapping are critical issues for urban autonomous driving. We present a practical and low-cost navigation architecture to fuse different data from vehicle onboard sensors and estimate the vehicle state when individual observations such as GPS are noisy. We are trying to compensate the GPS errors by data fusion from different sensors in a probabilistic way and a particle filter with joint observations model has been proposed. We have evaluated the feasibility of proposed localization and navigation architecture for fully autonomous driving by doing many experiments in our campus including up and down slopes.