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Lane Detection for Autonomous Cars Using Neural Networks

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Machine Learning and Autonomous Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 269))

Abstract

Advancements in lane detection algorithms lead to realizing autonomous driving technology and improving the real-time use of deep learning algorithms that are currently being studied for their various vision-based applications. In this paper, we propose an efficient and accurate algorithm to detect lanes and lane lines for autonomous vehicles. First, an OpenCV lane detection model was built to improve the understanding of lane detection algorithms. Using this knowledge, a CNN solution was adopted for the lane detection algorithm to train more data, work on curved lanes, and improve accuracy. The shortcomings of this model were identified and to solve these shortcomings, a Fully Convolutional Neural Network approach based on SegNet’s architecture was adopted. The accuracy of the models implemented was found to be as: OpenCV: 91%, CNN: 94.49%, and FCN: 96.12%.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communications Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India

    Karishma Vivek Savant, Ghanta Meghana, Gayathri Potnuru & V Bhavana

Authors
  1. Karishma Vivek Savant
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  2. Ghanta Meghana
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  3. Gayathri Potnuru
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  4. V Bhavana
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Dayeh University, Changhua, Taiwan

    Joy Iong-Zong Chen

  2. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Haoxiang Wang

  3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

  4. Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India

    V. Suma

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Savant, K.V., Meghana, G., Potnuru, G., Bhavana, V. (2022). Lane Detection for Autonomous Cars Using Neural Networks. In: Chen, J.IZ., Wang, H., Du, KL., Suma, V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_14

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