1. An Embedded Multi-Sensor Data Fusion Design for Vehicle Perception Tasks
- Author
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Rabie Ben Atitallah, Mokhtar Bouain, Karim M. A. Ali, Nizar Fakhfakh, Denis Berdjag, Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Centre National de la Recherche Scientifique (CNRS)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC), Mokhtar Bouain, Karim Ali, Denis Berdjag, Nizar Fakhfakh, and Rabie Ben Atitallah
- Subjects
Intelligent Vehicles ,Sensor Fusion ,business.industry ,Computer science ,media_common.quotation_subject ,020206 networking & telecommunications ,02 engineering and technology ,Sensor fusion ,[SPI.AUTO]Engineering Sciences [physics]/Automatic ,Multi sensor ,Perception ,0202 electrical engineering, electronic engineering, information engineering ,[INFO]Computer Science [cs] ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,Embedded Systems ,business ,FPGA ,media_common - Abstract
International audience; Nowadays, multi-sensor architectures are popular to provide a better understanding of environment perception for intelligent vehicles. Using multiple sensors to deal with perception tasks in a rich environment is a natural solution. Most of the research works have focused on PC-based implementations for perception tasks and very few concerns have been addressed for customized embedded designs. In this paper, we propose a Multi-Sensor Data Fusion (MSDF) embedded design for vehicle perception tasks using stereo camera and Light Detection and Ranging (LIDAR) sensors. A modular and scalable architecture based on Zynq-7000 SoC was designed.
- Published
- 2018
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