Accident Detection using Deep Learning: A Brief Survey

Renu; Durgesh Kumar Yadav; Iftisham Anjum; Ankita

Today the road traffic accidents being a major reason of losing lives each day. The driver's mistake and late response time from the emergency services are the main cause of it. An effective road accident detection and information communication system is required in respecting of saving injured persons. A system being the sender of information messages to the required nearby emergency services about the location of the accident place for corrective response is absolutely as needed. According to the research literature, a number of such systems are proposed that automatically detects the accident as by numerous researchers. These detection system includes smart phones, vehicular Ad-Hoc networks, GSM and GPS technologies, and mobile applications. The implementation of an automatic road accident detection and information communication system in each &every vehicle is very crucial. As this paper gives a brief review on the techniques used in order to save people affected by the road accidents through automatic road accident detection system. Also, technique based on low cost ultrasonic sensors is also proposed.

Select Volume / Issues:

• Volume 11,Issue 3,May 2020

Year:

2020

Type of Publication:

Article

Keywords:

Accident Detection; Convolutional Neural Network; LSTM; RNN

Journal:

IJECCE

Volume:

11

Number:

3

Pages:

16-25

Month:

May

ISSN:

2249-071X