@conference {30167,
	title = {Sensing structure for blind spot detection system in vehicles},
	booktitle = {2019 International Conference on Control, Automation and Information Sciences (ICCAIS)},
	year = {2019},
	pages = {1-6},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Sensor selection is an essential aspect of blind spot detection (BSD) systems. Indeed, we must choose the sensors appropriately to accomplish high accuracy and performance in any driving condition. Each sensor has exclusive properties which are suitable for a few specific circumstances. Therefore, a comprehensive study is warranted to determine the optimum number of sensors and the type of sensors for BSD. Although sensors have some deficiencies which can deteriorate the whole system{\textquoteright}s performance, a combination of multiple types of sensors together with data fusion methods in most cases can substantially compensate for sensors imperfection. In this paper, we have concentrated on multi-sensor fusion in BSD system and its advantages which cannot be achieved in a single-sensor BSD system. A sensing structure for the BSD system is proposed considering the indispensable factors in BSD coupled with sensors constraints, features, and specifications.},
	url = {https://ieeexplore.ieee.org/abstract/document/9074580},
	author = {Shayan Shirahmad Gale Bagi and Hossein Gharaee Garakani and Behzad Moshiri and Mohammad Khoshnevisan}
}
