Ali Shafiekhani

h-index5
2papers
200citations

2 Papers

1.2SYOct 29, 2017
Design and Analysis of a Controller Using Quantitative Feedback Theory for a Vehicle Air Suspension System

Ali Shafiekhani, Seyed Mehdi Mirsadeghi, Keivan Torabi

This paper presents the design of a robust controller for a vehicle air suspension system using Quantitative Feedback Theory (QFT). This study is primarily focused on control of linearized active air suspension system. For the purpose of simplicity, the dynamics of the air suspension system is modeled using a simple 2-DOF quarter car model. Uncertain dynamic system with different working condition has been considered for the vehicle air suspension system.

0.9CVMay 9, 2017
Multi-Scale Spatially Weighted Local Histograms in O(1)

Mahdieh Poostchi, Ali Shafiekhani, Kannappan Palaniappan et al.

Weighting pixel contribution considering its location is a key feature in many fundamental image processing tasks including filtering, object modeling and distance matching. Several techniques have been proposed that incorporate Spatial information to increase the accuracy and boost the performance of detection, tracking and recognition systems at the cost of speed. But, it is still not clear how to efficiently ex- tract weighted local histograms in constant time using integral histogram. This paper presents a novel algorithm to compute accurately multi-scale Spatially weighted local histograms in constant time using Weighted Integral Histogram (SWIH) for fast search. We applied our spatially weighted integral histogram approach for fast tracking and obtained more accurate and robust target localization result in comparison with using plain histogram.