Robust Lane Departure Warning System for ADAS on Highways
Author:
Affiliation:
1. October University for Modern Sciences and Arts (MSA),Faculty of Engineering,Mechatronics Departement,Giza,Egypt
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9942273/9942362/09942370.pdf?arnumber=9942370
Reference6 articles.
1. Driver-in-the-Loop for computer-vision based ADAS testing
2. Lane Departure detection using image processing techniques
3. Lane Vehicle Detection and Tracking Algorithm Based on Sliding Window
4. Efficient Image Dehazing with Boundary Constraint and Contextual Regularization
5. Real-Time Lane Detection and Tracking for Advanced Driver Assistance Systems
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1. A Robust Road Lane Detection Using Computer Vision Approach for Autonomous Vehicles;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18
2. Optimizing Lane Departure Warning System towards AI-Centered Autonomous Vehicles;Sensors;2024-04-13
3. Radar-Lidar Fusion for Classification of Traffic Signaling Motion in Automotive Applications;2023 IEEE International Radar Conference (RADAR);2023-11-06
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