Developing App for Detecting Autonomous Car Crash and Moves in Advance

Dipisha, C and Karpagavalli, B and Sethu, S (2025) Developing App for Detecting Autonomous Car Crash and Moves in Advance. In: NATIONAL CONFERENCE ON RECENT TRENDS IN ENGINEERING AND TECHNOLOGY (NCRTET ’25).

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Abstract

Develop an advanced application leveraging deep learning and computer vision techniques
to detect potential car crashes in real-time and initiate preventive measures to avoid collisions.
This paper discusses a system that uses IoT, GSM, GPS, and various sensors to detect
accidents and send alert messages with the vehicle's location to a control room or rescue team.
It also monitors health conditions through sensors. In the year 2019 Junmei sun Published Automatically Capturing and Reproducing Android Application Crashes aims to enhance road safety by providing real-time crash detection and initiating preventive measures, addressing the limitations of previous research by integrating advanced deep learning techniques and emergency response systems. This project discusses an app that uses GPS and accelerometer data from mobile phones to detect accidents and send the location and time of
the accident to friends, relatives, and emergency services.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Machine Learning
Domains: Computer Science Engineering
Depositing User: Mr Sureshkumar A
Date Deposited: 27 Dec 2025 07:13
Last Modified: 27 Dec 2025 07:13
URI: https://ir.vistas.ac.in/id/eprint/12021

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