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Lane Detection and Object Detection

Journal: International Journal of Trend in Scientific Research and Development (Vol.7, No. 3)

Publication Date:

Authors : ;

Page : 365-381

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Abstract

Every person in this world is concerned about being safe. Increasing safety and reducing road accidents, thereby saving lives are one of great interest in the context of Advanced Driver Assistance Systems. Among the complex and challenging tasks of future road vehicles is road lane detection or road boundaries detection. In driving assistance systems, obstacle detection especially for moving object detection is a key component of collision avoidance and also detect signs boards. The most frequently used principal approach to detect road boundaries and lanes using vision system on the vehicle. In proposed system, we can implement of lane Object detection and also detect Signs board with the help of AI and Deep learning Technique. Input as Dataset to trained using CNN algorithm and creat beast model. Using these model to classify or detect output. Harshada Annasaheb Nikam | Pranav Ashokrao Survase | Ketan Patole | Mansi Sanjay Gore "Lane Detection and Object Detection" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-3 , June 2023, URL: https://www.ijtsrd.com.com/papers/ijtsrd57393.pdf Paper URL: https://www.ijtsrd.com.com/engineering/information-technology/57393/lane-detection-and-object-detection/harshada-annasaheb-nikam

Last modified: 2023-08-01 21:06:09