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

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

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  • NETL
  • NSTL
  • Inst Engineering Technology-Iet
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.

Big Dataoptical radardata analysisobject detectioncamerasimage fusionoptical sensorsimage sensorsradar imaging

Alfred Daniel、Karthik Subburathinam、Bala Anand Muthu、Newlin Rajkumar、Seifedine Kadry、Rakesh Kumar Mahendran、Sanjeevi Pandian

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SNS College of Technology, Anna University, Department of Computer Science and Engineering, Coimbatore, India

V.R.S. College of Engineering and Technology, Department of Computer Science and Engineering, Viluppuram, India

Anna University Regional Center, Department of Computer Science and Engineering, Coimbatore, India

Beirut Arab University, Department of Mathematics and Computer Science, Beirut, Lebanon

Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Department of Electronics and Communication Engineering, Chennai, India

Jiangnan University, Advanced Process Control for Light Industry Lab, Jiangsu, People's Republic of China

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2020

10.1049/iet-its.2019.0784

IET intelligent transport systems

IET intelligent transport systems

ISSN：1751-956X
年,卷(期)：2020.14(11)
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