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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Scene Understanding in Autonomous Driving: Challenges and Solutions |
| Authors Name: | Dr. Pankaj Malik , Ovais Alam Qureshi , Parth Kala , Sayyed Ishan Ali , Naman Patidar |
| Unique Id: | IJSDR2404117 |
| Published In: | Volume 9 Issue 4, April-2024 |
| Abstract: | Autonomous driving technology holds the promise of revolutionizing transportation by enabling vehicles to navigate roads safely and efficiently without human intervention. A fundamental requirement for such systems is robust scene understanding, encompassing the perception and interpretation of the surrounding environment. This paper presents an in-depth examination of the challenges inherent in scene understanding for autonomous driving and explores the diverse solutions proposed to address them. We delve into key components such as perception, object detection and tracking, semantic segmentation, depth estimation, and contextual understanding. Additionally, we discuss the hurdles posed by adverse weather conditions, dynamic environments, sensor limitations, occlusions, and uncertainty. By surveying emerging technologies such as sensor fusion, deep learning, probabilistic models, and attention mechanisms, we highlight the evolving landscape of solutions. Evaluation metrics, benchmark datasets, case studies, and applications provide insights into the practical implementation and performance of these techniques. Finally, we identify future research directions, including multi-modal perception, continual learning, explainable AI, and human-AI interaction, to propel the field forward. This paper serves as a valuable resource for researchers, engineers, and practitioners working on advancing autonomous driving technology, fostering safer and more reliable transportation systems for the future. |
| Keywords: | Autonomous Driving, multi-sensor platform, autonomous vehicle, SLAM, CNN, dynamic scene analysis, semantic segmentation, off-road, autonomous driving, camera calibration, LiDAR calibration |
| Cite Article: | " Scene Understanding in Autonomous Driving: Challenges and Solutions", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 4, page no.833 - 838, April-2024, Available :http://www.ijsdr.org/papers/IJSDR2404117.pdf |
| Downloads: | 000338173 |
| Publication Details: | Published Paper ID: IJSDR2404117 Registration ID:210808 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: 833 - 838 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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