Obstacle avoidance for industrial AGVs. Digani, V., Caramaschi, F. S., Lorenzo, Secchi, C., & Fantuzzi, C. In Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on, pages 227--232, Cluj-Napoca, Romania, September~4--6, 2014. IEEE. Paper doi abstract bibtex The paper deals with the obstacle avoidance problem for Automated Guided Vehicles (AGVs). We propose an automatic algorithm to build new obstacle-free trajectories that leave the original roadmap. The new path has to also comply with the dynamic and kinematic constraints of the AGV. The new paths are generated by means of polar spline curves, lane-change maneuver curves and line segments. The proposed method is validated by means of simulations.
@inproceedings{ Digani-et-al:ICCP:2014,
author = {Digani, Valerio and Caramaschi, Fabrizio Sabattini, Lorenzo and Secchi, Cristian and Fantuzzi, Cesare },
title = { Obstacle avoidance for industrial AGVs },
booktitle = { Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on },
year = {2014},
month = {September~4--6},
file = {papers/2014-09-ICCP-Digani.pdf},
address = {Cluj-Napoca, Romania},
id = {201409},
publisher = {IEEE},
abstract = { The paper deals with the obstacle avoidance problem for
Automated Guided Vehicles (AGVs). We propose an
automatic algorithm to build new obstacle-free
trajectories that leave the original roadmap. The
new path has to also comply with the dynamic and
kinematic constraints of the AGV. The new paths are
generated by means of polar spline curves,
lane-change maneuver curves and line segments. The
proposed method is validated by means of
simulations.},
pages = {227--232},
doi = {10.1109/ICCP.2014.6937001},
isbn = {978-1-4799-6568-7},
url = {http://www.iccp.ro/iccp2014/}
}
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