scholarly journals Advanced Driver Security Application

2020 ◽  
Vol 9 (4) ◽  
pp. 1989-1994
Keyword(s):  
Principal Component ◽  
Lane Detection ◽  
Alert System ◽  
Canny Edge Detection ◽  
The Past ◽  
Point Estimates ◽  
Current Implementation ◽  
Hough Transforms ◽  
Canny Edge ◽  
Vehicle Movement

The introduction of modern and more advanced vehicles has stretched their performance boundaries dramatically in terms of pace and maneuverability. It has also significantly enhanced the likelihood of people losing control of their vehicle, contributing to accidents. Within the past, several strategies have been suggested which resolve this issue by restricting the car's travel to just one specific path. To various road situations, this is achieved by applying lane identification utilizing algorithms such as canny edge identification, Hough transformations, vanishing point estimates, principal component analysis etc. Practical deployment of these programs, however, requires extremely powerful hardware such as TDA3x which can process in real time. This paper aims to introduce the usage of the Lane Detection and Alert System on a Texas Instruments Driver Assist 3x (TDA3x) board with a frame resolution of (1920 * 1080p) at 2 GHz relative to the current implementation, which has a resolution of only (480 * 270p) at 100 MHz [16]. This system too makes use of canny edge detection and hough transforms to identify the lane points, and tracks the vehicle movement by extracting the corresponding polar co-ordinates.

scholarly journals DRIVES ALERT SYSTEM IN THE CONDITION OF INFORMATION SHORTAGE

2020 ◽  
pp. 57-64
Author(s):  
R. S. Glukhikh ◽  
E. V. Grazhdantsev ◽  
V. A. Zeer ◽  
P. A. Rastovtsev ◽  
A. A. Martinov
Keyword(s):  
Passive Safety ◽  
Accident Analysis ◽  
Alert System ◽  
The Past ◽  
Passive Safety Systems ◽  
Prevention System ◽  
The Russian Federation ◽  
High Level ◽  
Safety Systems ◽  
Vehicle Movement

The article presents the results of an accident analysis in the Russian Federation. Trends in reducing the number of accidents have been identified, but over the past 5 years the severity of their consequences has remained at a high level, despite the development of vehicles active and passive safety systems. A new accident prevention system is proposed by informing drivers about the occurrence of an emergency in conditions of insufficient and limited visibility, based on measuring the parameters of the vehicle movement in real time using GLONASS/GPS technologies.

scholarly journals An Introduction to Development of Centralized and Distributed Stochastic Approximation Algorithm with Expanding Truncations

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 174
Author(s):  
Wenxiao Zhao
Keyword(s):  
Approximation Algorithm ◽  
Stochastic Approximation ◽  
Probabilistic Method ◽  
Principal Component ◽  
Stochastic Approximation Algorithm ◽  
The Past ◽  
Systems And Control ◽  
Ode Method ◽  
Centralized Algorithm ◽  
And Control

The stochastic approximation algorithm (SAA), starting from the pioneer work by Robbins and Monro in 1950s, has been successfully applied in systems and control, statistics, machine learning, and so forth. In this paper, we will review the development of SAA in China, to be specific, the stochastic approximation algorithm with expanding truncations (SAAWET) developed by Han-Fu Chen and his colleagues during the past 35 years. We first review the historical development for the centralized algorithm including the probabilistic method (PM) and the ordinary differential equation (ODE) method for SAA and the trajectory-subsequence method for SAAWET. Then, we will give an application example of SAAWET to the recursive principal component analysis. We will also introduce the recent progress on SAAWET in a networked and distributed setting, named the distributed SAAWET (DSAAWET).

Application of Improved Canny Edge Detection Algorithm in Coal-Rock Interface Recognition

2012 ◽  
Vol 220-223 ◽  
pp. 1279-1283 ◽  
Author(s):  
Li Hong Dong ◽  
Peng Bing Zhao
Keyword(s):  
Edge Detection ◽  
Detection Algorithm ◽  
Canny Edge Detection ◽  
Edge Detection Algorithm ◽  
Canny Edge ◽  
Rock Interface ◽  
Coal Rock ◽  
Image Edge ◽  
Canny Algorithm ◽  
Canny Edge Detection Algorithm

The coal-rock interface recognition is one of the critical automated technologies in the fully mechanized mining face. The poor working conditions underground result in the seriously polluted edge information of the coal-rock interface, which affects the positioning precision of the shearer drum. The Gaussian filter parameters and the high-low thresholds are difficult to select in the traditional Canny algorithm, which causes the information loss of gradual edge and the phenomenon of false edge. Consequently, this paper presents an improved Canny edge detection algorithm, which adopts the adaptive median filtering algorithm to calculate the thresholds of Canny algorithm according to the grayscale mean and variance mean. This algorithm can protect the image edge details better and can restrain the blurred image edge. Experimental results show that this algorithm has improved the edge extraction effect under the case of noise interference and improved the detection precision and accuracy of the coal-rock image effectively.

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