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Published Paper Details:
Enhanced Road Anomaly Detection and Drivable Area Recognition: Unveiling the Potential of Dynamic Fusion
Authors
Mohammed Samreen Fathima,Praveen Teja Ragam,PSV Siva Rama Krishna Vara Prasad,Nadella Tejaswi,Avanigadda Ravi Chandra
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Keywords
autonomous driving, road anomaly detection, drivable area recognition , algorithmic investigation, convolution neural networks
Abstract
Advancements in autonomous driving and advanced driver assistance systems (ADAS) have intensified the need for accurate road anomaly detection and drivable area recognition. This paper puts forward the Dynamic Fusion Module, a new approach intended to improve these vital aspects of autonomous navigation. The module combines data from multiple sensors using a dynamic fusion technique to generate a thorough and consistent understanding of the environment. The proposed method aims to address the difficulties associated with road anomaly detection, in particular potholes and other road surface irregularities. This goal will be accomplished by harnessing state-of-the-art Convolutional Neural Networks (CNNs), specifically Yolov8 and ResNet architectures. By addressing the limitations of current systems, our project seeks to transform road anomaly detection, providing enhanced accuracy and robustness across diverse real-world conditions, while harnessing the power of deep learning with Yolov8 and ResNet as our selected backbone architectures. The overall fitness score of 0.96 reflects a well-trained model with the potential for fine-tuning.
IJCRT's Publication Details
Unique Identification Number - IJCRT2403341
Paper ID - 252226
Author type - Indian Author
Page Number(s) - c746-c750
Pubished in - Volume 12 | Issue 3 | March 2024
DOI (Digital Object Identifier) -
No Of Downloads - 35
Author Country - India, 521137, Vijayawada, Vijayawada, 521137, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Mohammed Samreen Fathima,Praveen Teja Ragam,PSV Siva Rama Krishna Vara Prasad,Nadella Tejaswi,Avanigadda Ravi Chandra, "Enhanced Road Anomaly Detection and Drivable Area Recognition: Unveiling the Potential of Dynamic Fusion", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.c746-c750, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT2403341.pdf
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