Real-time lane detection for autonomous vehicles using YOLOV5 Segmentation Model
Author:
Affiliation:
1. School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India
Funder
VIT, Vellore.
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/19397038.2024.2400965
Reference22 articles.
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2. Mask R-CNN Approach to Real-Time Lane Detection for Autonomous Vehicles
3. Bushaev V. 2018. Adam — Latest Trends in Deep Learning Optimization. Towards Data Science. October 22. https://towardsdatascience.com/adam-latest-trends-in-deep-learning-optimization-6be9a291375c.
4. Enhanced YOLOv5: An Efficient Road Object Detection Method
5. Simultaneous vehicle and lane detection via MobileNetV3 in car following scene
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