Proactive Highway Collision Avoidance using YOLOv8 and Ultrasonic Sensors

The Internet of Things (IoT) has become a key component of vehicle-to-vehicle communication with collision avoidance systems. However, certain vehicle models lack the required interaction capabilities, enabling other design techniques. This paper provides an innovative method for a real-time identif...

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Vydáno v:International Conference on System Modeling & Advancement in Research Trends (Online) s. 441 - 444
Hlavní autoři: Kavitha, M., Akshaya, A., Jotheeswaran, K., Kavin, M., Kuppulakshmi, K.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 06.12.2024
Témata:
Accuracy
Collision avoidance
dynamic vehicle behavior
Infrastructure-Based collision detection
intelligent collision avoidance system
Internet of Things
machine learning in transportation
object detection algorithms
Prediction algorithms
Road safety
Road transportation
Sensor systems
Stability analysis
Vehicle dynamics
vehicle position prediction
Vehicle-to-Vehicle Communication
Vehicular ad hoc networks
YOLOv8 framework
ISBN:9798350380569
ISSN:2767-7362
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Shrnutí:The Internet of Things (IoT) has become a key component of vehicle-to-vehicle communication with collision avoidance systems. However, certain vehicle models lack the required interaction capabilities, enabling other design techniques. This paper provides an innovative method for a real-time identification system with a vehicle position prediction based on YOLOv8. The machine learning framework enhances stability and prediction accuracy by integrating vehicle dynamics. This method makes use of YOLOv8's capabilities to identify vehicles in complex environments and dynamically alter the prediction based on current patterns and courses of action. The performance of these algorithms has been validated by multiple studies, which demonstrate that they provide better prediction accuracy than current techniques. This development helps to create intelligent modes of transport that can function well in various types of traffic scenarios and car capacities, which in turn improves road safety by providing a strong foundation for active, realtime accident avoidance.
ISBN:9798350380569
ISSN:2767-7362
DOI:10.1109/SMART63812.2024.10882497