SMART ADAS: IOT-DRIVEN INTELLIGENT ASSISTANCE FOR SAFER AND SMARTER DRIVING

Authors

  • Sk Ahmed Pasha, A. Srikanth, L. Ramesh

Keywords:

Iot-Based, Advanced Driver Assistance System (ADAS), Vehicle Safety, Driver Security, Sensors, Collision Detection, Pre-Charging Brakes, Warnings, Drowsiness Detection, Distraction Detection, GPS Integration, Road Safety, Intervention, Technology, Driver Monitoring, Vehicle Tracking.

Abstract

Advanced Driver Assistance Systems (ADAS) are a suite of technologies designed to enhance vehicle safety and driver security by leveraging various sensors and advanced technologies to gather real-time data on the vehicle's surroundings and driver input. These systems aim to provide drivers with critical information, warnings, and automated interventions to prevent accidents and improve road safety.

References

Bisogni, Carmen, Lucia Cascone, Michele Nappi, and Chiara Pero. "IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation." ACM Transactions on Multimedia Computing, Communications and Applications .

Suganthi, K., M. Arun Kumar, N. Harish, S. HariKrishnan, G. Rajesh, and S. Sofana Reka. "Advanced Driver Assistance System Based on IoT V2V and V2I for Vision Enabled Lane Changing with Futuristic Drivability." Sensors 23, no. 7 (2023): 3423.

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Published

2024-02-03

How to Cite

Sk Ahmed Pasha, A. Srikanth, L. Ramesh. (2024). SMART ADAS: IOT-DRIVEN INTELLIGENT ASSISTANCE FOR SAFER AND SMARTER DRIVING . Journal of Computational Analysis and Applications (JoCAAA), 32(2), 52–68. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2060

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