Advanced Driver Security Application
Suhas N Bhargav1, Rajani Katiyar2
1Suhas N Bhargav*, department of Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India.
2Mrs. Rajani Katiyar, department of Electronics and Communication Engineering, R V College of Engineering, Bengaluru, India.
Manuscript received on March 28, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 1989-1994 | Volume-9 Issue-4, April 2020. | Retrieval Number: D9050049420/2020©BEIESP | DOI: 10.35940/ijeat.D9050.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Lane Detection and Warning System (LDWS), Canny edge identification, Hough transforms, Vanishing point estimates, Principal component analysis, TDA3x