Road traffic big data collision analysis processing framework

Chung, Duckwon; Rui, Xuhua; Dai, Min; Yeo, Hwasoo

doi:10.1109/icaict.2013.6722733

Cited by 2 publications

(1 citation statement)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on the clustering model, the traffic flow state analysis and traffic flow state identification are acquired through SAGA‐FCM (simulated annealing genetic algorithm based fuzzy c‐means) [19]. To predict the traffic flow parameter, a bi‐level optimisation model for regional traffic flow correlation is established in [20].…”

Section: Related Workmentioning

confidence: 99%

Procuring cooperative intelligence in autonomous vehicles for object detection through data fusion approach

Daniel

Subburathinam

Muthu³

et al. 2020

IET Intelligent Trans Sys

View full text Add to dashboard Cite

In an autonomous vehicle (AV), in order to efficiently exploit the acquired resources, big data analyses will be a reliable source for extracting valuable information from various sensors and actuators. The data extracted with the combined ability of telematics and real-time investigation forms the vibrant asset for self-driving cars. To demonstrate the significances of big data analysis, this study proposes a competent architecture for real-time big data analysis for an AV, which indeed keeps pace with the latest trends and advancement concerning an emerging paradigm. There are a massive amount of sensors and independent systems needed to be realised for better competence in an AV, and the proposed model focuses on independent sensors that distinguish objects and handles visual information to decide the path. In order to attain the objective as mentioned above, a sensor fusion mechanism is proposed, which combines 3D camera sensor data and Lidar sensor information to provide an optimised solution for path selection. Furthermore, three algorithms, namely overlapping algorithm, sequential adding algorithm, the distance-focused algorithm is designed for higher efficiency in sensor fusion mechanism. The proposed methodology is for the best exploitation of the enormous dataset, meant for real-time processing for an AV.

show abstract

Section: Related Workmentioning

confidence: 99%