### Safe Distributed Lane Change Maneuvers for Multiple Autonomous Vehicles Using Buffered Input Cells

@inproceedings{wang_safe_2018,
title = {Safe {Distributed} {Lane} {Change} {Maneuvers} for {Multiple} {Autonomous} {Vehicles} {Using} {Buffered} {Input} {Cells}},
isbn = {978-1-5386-3081-5},
url = {https://ieeexplore.ieee.org/document/8460898/},
abstract = {This paper introduces the Buffered Input Cell as a reciprocal collision avoidance method for multiple vehicles with high-order linear dynamics, extending recently proposed methods based on the Buffered Voronoi Cell [1] and generalized Voronoi diagrams [2]. We prove that if each vehicle’s control input remains in its Buffered Input Cell at each time step, collisions will be avoided indeﬁnitely. The method is fast, reactive, and only requires that each vehicle measures the relative position of neighboring vehicles. We incorporate this collision avoidance method as one layer of a complete lane change control stack for autonomous cars in a freeway driving scenario. The lane change control stack comprises a decisionmaking layer, a trajectory planning layer, a trajectory following feedback controller, and the Buffered Input Cell for collision avoidance. We show in simulations that collisions are avoided with multiple vehicles simultaneously changing lanes on a freeway. We also show in simulations that autonomous cars using the BIC method effectively avoid collisions with an aggressive human-driven car.},
language = {en},
urldate = {2020-09-15},
booktitle = {2018 {IEEE} {International} {Conference} on {Robotics} and {Automation} ({ICRA})},
publisher = {IEEE},
author = {Wang, Mingyu and Wang, Zijian and Paudel, Shreyasha and Schwager, Mac},
month = may,
year = {2018},
keywords = {cooperative\_planning},
pages = {4678--4684},
month_numeric = {5}
}