Figure 3 - uploaded by Abhinav Vinod Deshpande
Content may be subject to copyright.
Source publication
This paper presents the overview of an FPGA system in which different complex arithmetic and logical operations are performed by using a set of programmable and reconfigurable arrays of various logic gates and the task of performing a single operation is distributed equally to a set of given number of gates and the system is provided with a clock g...
Similar publications
Developing customized arithmetic hardware units is a very difficult and error-prone process, especially when using non-standard
bit-widths for number representation. In the early stages of development, the actual details of the physical implementation might
not be of interest. Synthesis from hardware description languages
like VHDL or Verilog takes...
Citations
Traffic Sign Recognition (TSR) is a field of research that has seen much activity in the recent decade. This research paper introduces the problem and presents four recent research papers on traffic sign detection and four recent research papers on traffic sign classification. It attempts to extract the recent trends in the field and touch upon unexplored areas, especially the lack of research into integrating TSR with a driver in the loop system and some of the problems that are being presented. The TSR is an exciting field with great promises for integration in the driver assistance systems and that particular area deserves to be explored further.
The Road Sign Recognition is a field of applied computer vision research concerned with the automatic detection and classification of traffic signs in traffic scene images. The aim of this research paper is to study the various classification techniques that can be used to construct a system that recognizes road signs in images. The primary objective is to develop an algorithm which will identify various types of road signs from static digital images in a reasonable time frame. In this research paper, we will study the various learning systems that are based on prior knowledge for classification. A road sign recognition system faces a classical problem of pattern recognition, classifying between different road signs. On top of that, the location of the road sign in the picture is unknown. Once these obstacles are overcome, such system could be integrated in a Smart Driver system. A variety of MATLAB Image processing toolbox commands can be used to determine if a road sign is present in the image. Neural network or other classification techniques can be applied in order to classify the road signs.
This research paper focuses the importance of implementing the necessary and mandatory rules and regulations which are responsible for evaluation of the current threats which pose a major challenge towards the world of computers and fast multimedia services. The computer is becoming more important nowadays because of the rapidly growing technology and evolution of Internet and other Multimedia facilities. The human being is benefitted due to the facilities and services which are being provided by the Internet like Social Networking sites such as Face book, Orkut, Twitter, WhatsApp etc.
The number of road vehicles significantly increased in recent decades. This trend accompanied a build-up of road infrastructure and development of various control systems to increase road traffic safety, road capacity and travel comfort. In traffic safety significant development has been made and today's systems more and more include cameras and computer vision methods. Cameras are used as a part of the road infrastructure or in vehicles. In this paper, a review on computer vision systems in vehicles from the standpoint of traffic engineering is given. Safety problems of the road vehicles are presented, current state of the art in-vehicle vision systems is described and open problems with future research directions are discussed.
