LITERATURE REVIEW ON ANTI SLEEP SENSING AND AUTO PARKING SYSTEM
Kirthi Sabari.K
, Gokul.B.T , Mathankumar.K , Dinesh.P , Aishwarya.D
Intelligent,Drowsy,Machine Learning,Anti-Sleeping,Auto-Parking,Accuracy
The demand for intelligent driving systems has been steadily increasing as the automotive industry progresses towards autonomous vehicles. One crucial aspect of autonomous driving is ensuring driver and passenger safety through the prevention of drowsy driving. In this survey paper, we present an overview of recent advancements in the field of anti-sleep sensing and auto-parking systems that utilize machine learning techniques. We review various approaches that leverage machine learning algorithms for detecting driver drowsiness in real-time, including physiological, behavioral, and environmental sensing methods. We also explore how machine learning algorithms can be applied to enable autonomous parking systems that efficiently maneuver vehicles in complex parking scenarios. Furthermore, we discuss the challenges and limitations associated with anti-sleep sensing and auto-parking systems, such as accuracy, robustness, and real-time performance. Finally, we highlight potential future directions and research opportunities in this field, including the integration of multiple sensors and the use of advanced machine learning techniques, such as deep learning and reinforcement learning, to enhance the performance of these systems. This survey paper aims to provide a comprehensive overview of the state-of-the-art in anti-sleep sensing and auto-parking systems that utilize machine learning, and serves as a valuable resource for researchers and practitioners working in the field of autonomous driving.
"LITERATURE REVIEW ON ANTI SLEEP SENSING AND AUTO PARKING SYSTEM", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.994-999, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001161.pdf
Volume 11
Issue 2,
February-2024
Pages : 994-999
Paper Reg. ID: TIJER_151123
Published Paper Id: TIJERB001161
Downloads: 000280
Research Area: Science and Technology
Country: Tiruvallur, Tamil Nadu, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
