In this field ,continuous efforts are done in reducing the power consumption in traction system or braking system in vehicles by many methods . First one is conventional braking system where the energy is dissipated as heat in the braking resistors, it uses dynamic braking, where the kinetic energy of…


In this paper, they implement and evaluate an FPGA-accelerated adaptation of the ELAS algorithm. Stereo matching algorithms can split it into methods or techniques of global energy minimization and local matching.

In this paper, They investigate the adoption and acceleration of a competing algorithm for low-power embedded systems. The algorithm…


Feature-based vision applications are highly efficient extraction of images and analysis of features from images for better performance and latency.
This paper describes the implementation of an algorithm that combines distributed feature detector (DHCD) with a rotational invariant feature descriptor (RHOG). Based on an algorithmic comparison with other
feature detectors and…


Acceleration of Image Classification with Caffe framework using FPGA.

Caffe is a deep learning framework, originally developed at UC Berkeley and widely used in large-scale industrial applications such as vision, speech, and multimedia. It supports many different types of deep learning architectures such as CNNs (convolutional neural networks) geared towards image classification and image recognition. In this paper he…


Accelerated Image Processing on FPGAs1

Summary :

The cameron Project has developed a language and compiler for mapping image-based applications to field programmable gate arrays (FPGA). …

Dhiraj Raut

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