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Paper Title: Autonomous vehicle navigation methods in dynamic environments: A review
Authors Name: Shashank T K , Hitesh N , Ganapati Girish Kamat , Kriti M S , L Ravikumar
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Published Paper Id: IJRTI2210107
Published In: Volume 7 Issue 10, October-2022
Abstract: Autonomous vehicles (AV) must constantly assess the area around them using their onboard sensors to predict an optimal path to navigate to the desired destination. Currently, autonomous navigation systems seldom generate the required path optimality due to the complexity of various environments such as densely populated areas, traffic junctions etc. In real world scenarios just the path planning algorithms alone are not sufficient to guide the vehicle in a dynamic environment. This paper investigates the different state-of-the-art path optimization algorithms like RRT, ATMC, sparrow search algorithm, and real time trajectory prediction algorithms of dynamic road agents like StopNet, MotionCNN. These methods further assist the path planning algorithms to determine a safe and optimal path for the vehicle. A smarter system can be derived by integrating these methods effectively into a control architecture which can navigate the autonomous vehicle through any kind of dynamic environment reliably and efficiently.
Keywords: Autonomous vehicles, Path planning, trajectory prediction, control systems
Cite Article: "Autonomous vehicle navigation methods in dynamic environments: A review", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.780 - 786, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210107.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2210107
Registration ID:184460
Published In: Volume 7 Issue 10, October-2022
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Page No: 780 - 786
Country: Bangalore, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2210107
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2210107
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ISSN: 2456-3315
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