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Vehicle Detection Assistance in Urban Intersection Using Data Exchange Between Road Infrastructure

Authors:
Jean Marchal
Denis Gingras
Hervé Pollart

Keywords: vehicular simulation; sensors; communication; data fusion; prediction.

Abstract:
This paper provides a new way of handling results related to safety algorithms used in urban area, in an intersection network. It denounces the waste of computing resources granted to run those algorithms while most mobile entities targeted may be detected several times during their journey through multiple interconnected intelligent intersections. A new approach is proposed, mixing detection algorithms and communications between intersection in order to reinforce consecutive detections of the same vehicles at different places. Experimentation in simulated environment leveraging a vehicular simulator called SCANeR Studio give some payoff on its performances: some improvements relative to the precision of vehicle detections but also a slight shift in detected position that may be corrected with an optimized data fusion algorithm.

Pages: 59 to 66

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-720-7

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019