A Data-Driven Approach to Vehicle Safety: IoT and ML Accident Detection-Reference-Cited by-同舟云学术

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A Data-Driven Approach to Vehicle Safety: IoT and ML Accident Detection

Published:2024-04-05 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Kocharla Laxmaiah¹,Tiwari Rashika²,Vijaya Kumari E N³,Shankar D.⁴,Al-Salman Ghafar Ahmed⁵,Kumar K Sai⁶

Affiliation:

1. Vignana Bharathi Institute of Technology,Department of Computer Science and Engineering,Aushapur(v), Ghtkesar(M),MedchalDist,Telangana,501301

2. Geetanjali Olympiad School,Vartur Hobli, Bengaluru,560037

3. MLR Institute of Technology,Department of Computer Science and Information Technology,Hyderabad,Telangana,India

4. Vishnu Institute of Technology,Department of CSE,Vishnupur, Bhimavaram,Andhra Pradesh,534202

5. Al-Ayen University,Scientific Research Center,Thi-Qar,Iraq,64001

6. Koneru Lakshmaiah Education Foundation,Computer Science,Green Fields, Vaddeswaram,Andhra Pradesh,522302

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10544368.pdf?arnumber=10544368

Reference19 articles.

1. Collision Avoidance and Stabilization for Autonomous Vehicles in Emergency Scenarios

2. Automatic Accident Detection and reporting framework for two wheelers

3. Hazard Detection for Motorcycles via Accelerometers: A Self-Organizing Map Approach

4. A Novel Distance Estimation Method Leading a Forward Collision Avoidance Assist System for Vehicles on Highways

5. Collision Detection by Networked Sensors

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