Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model

Enhancing semantic segmentation for autonomous vehicle scene understanding in indian context using modified CANet model

Recent advancements in artificial intelligence (AI) have increased interest in intelligent transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy environments requires accurate road scene segmentation, yet traditional computer vision methods struggle with complex...

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Bibliographic Details
Main Authors: Smita Khairnar, Sudeep D. Thepade, Suresh Kolekar, Shilpa Gite, Biswajeet Pradhan, Abdullah Alamri, Bhagyesha Patil, Shrutee Dahake, Radhika Gaikwad, Atharva Chaudhari
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:MethodsX
Subjects:
Autonomous Vehicle Scene Understanding in Indian Context Using Modified CANet Model
Online Access:http://www.sciencedirect.com/science/article/pii/S221501612400582X
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