Rear-end collisions are one of the most common types of accidents on roads. Global Satellite Navigation Systems (GNSS) have recently become sufficiently flexible and cost-effective in order to have great potential for use in rear-end collision avoidance systems (CAS). Nevertheless, there are two main issues associated with current vehicle rear-end CAS: achieving relative vehicle positioning and dynamic parameters with sufficiently high accuracy and a reliable method to extract the car-following status from such information. This paper introduces a novel integrated algorithm for rear-end collision detection. Access to high accuracy positioning is enabled by GNSS, electronic compass, and lane information fusion with Cubature Kalman Filter (CKF). The judgment of the car-following status is based on the application of the Adaptive Neurofuzzy Inference System (ANFIS). The field test results show that the designed algorithm could effectively detect rear-end collisions with an accuracy of 99.61% and a false alarm rate of 5.26% in the 10 Hz output rate.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2hItbqN
via IFTTT
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
-
JOURNAL OF JAPAN SOCIETY FOR SAFETY ENGINEERING_1998_5 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt...
-
-
Vol.83 No.3 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/1TkQfWM via IFTTT
-
Small size of metastatic lymph nodes with extracapsular spread greatly impacts treatment outcomes in oral squamous cell carcinoma patie...
-
Guidelines for inpatient admission after pediatric tonsillectomy have been proposed to improve the safety of this procedure. This study exam...
-
Madhavi Bhargava Journal of Family and Community Medicine 2017 24(2):131-131 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis ...
-
Publication date: Available online 14 May 2017 Source: Journal of Oral Biosciences Author(s): Hiromi Kimura-Suda, Teppi Ito BackgroundBo...
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου