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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 11 | Month- November 2025
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Published Paper Details:
Paper Title
Enhancing ADAS Accuracy Using Machine Learning for Sensor Fusion
Authors
Advait Sanjay Gaikwad, Archana Wafgaonkar, Deepak Singh
Keywords
ADAS, Sensor Fusion, Machine Learning, Autonomous Vehicles, Real-time Data Processing, False Positives, False Negatives, Vehicle Localization, Decision-making, Advanced Driver Assistance Systems.
Abstract
This paper examines the role of machine learning in enhancing the accuracy of sensor fusion within Advanced Driver Assistance Systems (ADAS). By leveraging data from multiple sensors like cameras and radar, ML algorithms can improve vehicle localization, real-time data processing, and decision-making accuracy. The review highlights recent studies, including the use of cloud-based Digital Twin information and deep learning approaches, which reduce errors in object detection and classification. Furthermore, it addresses the persistent challenges of false positives and negatives in ADAS and discusses the impact of advanced ML techniques on optimizing system performance. The findings suggest that ML-driven sensor fusion has significant potential to enhance ADAS reliability and safety in autonomous driving environments.
IJCRT's Publication Details
Unique Identification Number - IJCRT2409318
Paper ID - 269116
Page Number(s) - c817-c823
Pubished in - Volume 12 | Issue 9 | September 2024
DOI (Digital Object Identifier) - http://doi.one/10.1729/Journal.41499
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Advait Sanjay Gaikwad, Archana Wafgaonkar, Deepak Singh, "Enhancing ADAS Accuracy Using Machine Learning for Sensor Fusion", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 9, pp.c817-c823, September 2024, Available at :http://www.ijcrt.org/papers/IJCRT2409318.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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