Accident Avoidance System in Blind Curves and Fog Using Integration of Technologies

Singh, Adityapratap; Ratnakar, Rajasi; Rajak, Ankit; Gurale, Neha; Pacharaney, Utkarsha

doi:10.1007/978-3-030-34515-0_13

Search citation statements

Order By: Relevance

Paper Sections

Select...

Review Of Literature1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2022

Publication Types

Select...

Article1

Other1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This system uses integrated RF and ultrasonic communication which results in providing alerts with minimal latency. The performance of the system may change depending on the operating conditions so it should be calibrated accordingly [13].…”

Section: Review Of Literaturementioning

confidence: 99%

Internet of Things Based Approach to Detect Obstacle in Fog to Avoid Accidents

Pandey¹,

Pathak²,

Vats³

et al. 2021

JUSST

View full text Add to dashboard Cite

Human life is of the utmost importance. Every year, many people lose their lives in road accidents. Reasons for an accident are many like over-speeding, poor traffic system, drink and drive, rough driving, etc. this paper aims to develop a model that can be used in vehicles to identify accidents due to Zero visibility in fog in winters and alarming for the same to avoid it. IoT is an emerging technology and can be intensively used for intelligent transport systems. This paper aims to develop an automated IoT-enabled system to be used in cars for the detection and avoidance of accidents due to zero visibility in fog. To build this system, the Ultrasonic sensor will be integrated with Raspberry Pi along with other supportive components (power-bank, Jumper wires, breadboard, etc.).

show abstract

Section: Review Of Literaturementioning

confidence: 99%