Cooperative automated vehicles exchange information to assist each other in creating a more precise and extended view of their surroundings, with the aim of improving automated-driving decisions. This paper addresses the need for scalable communication among these vehicles. To this end, a general communication framework is proposed through which automated cars exchange information derived from multi-resolution maps created using their local sensing modalities. This method can extend the region visible to a car beyond the area directly sensed by its own sensors. An adaptive, probabilistic, distance-dependent strategy is proposed that controls the content of the messages exchanged among vehicles based on performance measures associated with the load on the communication channel.
@article{arxiv.1409.4470,
title = {Adaptive Content Control for Communication amongst Cooperative Automated Vehicles},
author = {Mohammad Fanaei and Amin Tahmasbi-Sarvestani and Yaser P. Fallah and Gaurav Bansal and Matthew C. Valenti and John B. Kenney},
journal= {arXiv preprint arXiv:1409.4470},
year = {2014}
}
Comments
7 Pages, 10 Figures, Sixth International Symposium on Wireless Vehicular Communications (WiVEC'2014)