Articles
| Open Access |
NIGHT TIME HEADLIGHT DETECTION USING CNN-BASED OBJECT TRACKING
Sumit Badri , Student, Manipal Prolearn, 3rd Floor, Salarpuria Symphony, Service Road, Pragathi Nagar, Electronics City Post, Bengaluru, IndiaAbstract
The detection of vehicles and their headlights at night is a critical task in ensuring road safety. In this study, we propose a method for Night Time Headlight Detection using a Convolutional Neural Network (CNN)-based Object Tracking approach. The objective is to accurately locate and track the position of headlights in low-light conditions. The proposed method combines the power of CNNs for feature extraction and object tracking algorithms for precise localization. The experimental results demonstrate the effectiveness of our approach in detecting and tracking headlights at night, thereby contributing to enhanced driver assistance systems and overall road safety.
Keywords
Nighttime driving, ; Headlight detection, Low-light conditions
References
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Copyright (c) 2023 Sumit Badri
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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