Raspberry Pi based vehicle collision avoidance system

Kumar, Rachit; Stanley, P. Kingston; Gandhi, A. Sanjeevi

doi:10.1109/icieeimt.2017.8116838

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…So in this project sensors are used on four sides and under the vehicle to detect the obstacles [3]. This provides a safe drive to the driver and life of the pets can be saved.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Obstacle Detection System for Vehicle Using IoT

Chakravarthi¹,

Vinayak²,

Fazal³

et al. 2019

IJRAT

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Vehicles are the mode of transportation in our day to day life. Considering four wheelers, six and many more heavy vehicles, it is quite a difficult job for the driver to have a glance on the four sides of the vehicle, which is one of the cause for road accidents that leads to major damage to the vehicles and even severe injuries to the occupants of the vehicles. When the vehicle is at rest position there were many chances for the pets to go under the vehicle and also some obstacles like rocks may exist under the vehicle. When the driver starts the vehicle he/she will never have a look under the vehicle which may cause damage to the vehicle and nudging of pets which may lead to their death. This project is designed to overcome the above problems Raspberry Pi and Ultrasonic sensors are used to monitor the presence of obstacles around and under the vehicle. The distance monitored is displayed on user interface. An alert is provided to the driver when the obstacle or any other vehicles are nearer to the vehicle. This system also monitors the obstacles under the vehicle and shows a message on the user interface regarding the presence of an obstacle under the vehicle. This helps the driver to drive accordingly and to have control over the vehicle which assures a safe drive.

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“…So in this project sensors are used on four sides and under the vehicle to detect the obstacles [3]. This provides a safe drive to the driver and life of the pets can be saved.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Obstacle Detection System for Vehicle Using IoT

Chakravarthi¹,

Vinayak²,

Fazal³

et al. 2019

IJRAT

View full text Add to dashboard Cite

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Implementation of European NCAP Standard Autonomous Emergency Braking Scenarios Using Two Leddar M16 Sensors

Kapse

Adarsh

2019

Advances in Intelligent Systems and Computing

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In this paper we have implemented the autonomous emergency braking using two radar sensors with different angle of coverage. The synthetic radar data is generated by radar detection generator block available in AEBTestBench simulation module. AEBTestBench is autonomous emergency simulation module available in Matlab 2018b version under ADAS toolbox. From different EURO NCAP standard scenarios available, we have covered 5 scenarios with their results analysis showing where forward collision warning is displayed and what is the AEB status. The observation of simulation results are carried out for 10 seconds. Data fusion for two radar sensors is carried by Kalman filter algorithm present inside the simulation module.

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Investigation on Accuracy of Sensors in Sensor Fusion for Object Detection of Autonomous Vehicle Based on 2D Lidar and Ultrasonic Sensor

Rosdi

Ghani

2021

Lecture Notes in Electrical Engineering

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Raspberry Pi based vehicle collision avoidance system

Cited by 5 publications

References 4 publications

An Approach for Obstacle Detection System for Vehicle Using IoT

An Approach for Obstacle Detection System for Vehicle Using IoT

Implementation of European NCAP Standard Autonomous Emergency Braking Scenarios Using Two Leddar M16 Sensors

Investigation on Accuracy of Sensors in Sensor Fusion for Object Detection of Autonomous Vehicle Based on 2D Lidar and Ultrasonic Sensor

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