Please use this identifier to cite or link to this item:
|Title:||Motion planning using cooperative perception on urban road||Authors:||Liu, W.
Ang Jr., M.H.
|Issue Date:||2013||Citation:||Liu, W.,Kim, S.W.,Chong, Z.J.,Shen, X.T.,Ang Jr., M.H. (2013). Motion planning using cooperative perception on urban road. IEEE Conference on Robotics, Automation and Mechatronics, RAM - Proceedings : 130-137. ScholarBank@NUS Repository. https://doi.org/10.1109/RAM.2013.6758572||Abstract:||In this paper, we consider motion planning with long-range sensing information provided by cooperative perception. Firstly, we develop a general framework to reflect sensing uncertainty and transmission delay into motion planning. The Bayesian filter is utilized for perception belief fusion, which is then formulated into a cost function for optimal planning. With the cost map, we leverage the optimal property of RRT* framework and propose a long-term perspective planning algorithm to exploit the benefits introduced by long-range sensing. Finally, we demonstrate our proposed methods for a self-driving vehicle featured with cooperative perception. The experiment result shows that the proposed approach is able to improve the planning performance and is applicable to real-time implementation. © 2013 IEEE.||Source Title:||IEEE Conference on Robotics, Automation and Mechatronics, RAM - Proceedings||URI:||http://scholarbank.nus.edu.sg/handle/10635/86030||ISBN:||9781479911998||ISSN:||2158219X||DOI:||10.1109/RAM.2013.6758572|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.