Deep Learning for Traffic Scene Understanding: A Review

Deep Learning for Traffic Scene Understanding: A Review

This review paper presents an in-depth analysis of deep learning (DL) models applied to traffic scene understanding, a key aspect of modern intelligent transportation systems. It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced...

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Bibliographic Details
Main Authors: Parya Dolatyabi, Jacob Regan, Mahdi Khodayar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Deep learning
traffic scene understanding
discriminative models
generative models
domain adaptation
classification
Online Access:https://ieeexplore.ieee.org/document/10839383/
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https://ieeexplore.ieee.org/document/10839383/

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