Please use this identifier to cite or link to this item: https://doi.org/10.1109/ROBOT.2001.932759
Title: Autonomous vehicle positioning with GPS in urban canyon environments
Authors: Cui, Y.J.
Ge, S.S. 
Issue Date: 2001
Source: Cui, Y.J.,Ge, S.S. (2001). Autonomous vehicle positioning with GPS in urban canyon environments. Proceedings - IEEE International Conference on Robotics and Automation 2 : 1105-1110. ScholarBank@NUS Repository. https://doi.org/10.1109/ROBOT.2001.932759
Abstract: The Global Positioning System (GPS) has been widely used in land vehicle navigation applications. However, the positioning systems based on GPS alone face great problems in the so called urban canyon environments where the GPS signals are often blocked by high buildings and there are not enough available satellites signals to estimate the positioning information of a fix. To solve the problem, a constrained method is presented by approximately modeling the path of the vehicle in the urban canyon environments as pieces of lines. By adding this constraint, the minimum number of available satellites reduces to two, which is satisfied in many urban canyon environments. Then, a state-augmentation method is proposed and the Extended Kalman Filtering (EKF) technique is adopted to simultaneously estimate the positions of the GPS receiver and the parameters of the line. Simulation results show that this approach can solve the urban canyon problems successfully.
Source Title: Proceedings - IEEE International Conference on Robotics and Automation
URI: http://scholarbank.nus.edu.sg/handle/10635/69484
ISBN: 0780365763
ISSN: 10504729
DOI: 10.1109/ROBOT.2001.932759
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