Autonomous Vehicle Lane Detection Using Machine Learning
Swagat Nevase, Rohit Suryawanshi, Akshay Bhalekar, Gaurav Alekar
Self-driving cars, Autonomous vehicles (AVs), Lane Detection.
Lane detection is a critical component of autonomous vehicle (AV) technology, enabling vehicles to navigate safely within their designated lanes. This paper provides an overview of the current state-of-the-art techniques and challenges in lane detection for AVs. By analyzing various approaches and methodologies, including object detection and deep learning algorithms, the paper highlights the complexities involved in accurately detecting lanes under diverse environmental conditions and driving scenarios. Furthermore, it discusses the technical issues, advantages, and challenges associated with lane detection, emphasizing the need for robust systems that can adapt to dynamic road conditions. The proposed system architecture and implementation details are also presented, aiming to enhance the capabilities of AVs and ensure their safe integration into society.
Article Details
Unique Paper ID: 162987

Publication Volume & Issue: Volume 10, Issue 11

Page(s): 564 - 568
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