Powered Obstacle Avoidance with Bluetooth-Controlled Navigation in Automated Vehicles Using Raspberry Pi

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

S. Shiva Shanker Prasad; S. Vivek Vardan; S. Rakesh Reddy; P. Abhiram Sharma; Mr. T Raghavendra Gupta

Powered Obstacle Avoidance with Bluetooth-Controlled Navigation in Automated Vehicles Using Raspberry Pi

Authors: S. Shiva Shanker Prasad, S. Vivek Vardan, S. Rakesh Reddy, P. Abhiram Sharma, Mr. T Raghavendra Gupta

Unique Paper ID: 179463
Volume: 11
Issue: 12
PageNo: 6487-6495

Keywords: Arduino UNO Bluetooth Motor driver Ultrasonic sensor servo motor driver SD card Obstacle detection camera.

Abstract:
One of the critical challenges in automated vehicle technology has always been reliable obstacle detection and avoidance. Initially, systems relied heavily on basic sensor technologies like infrared and simple ultrasonic sensors, which provided limited detection capabilities. As the demand for safer and more reliable automated vehicles grew, the industry saw the integration of more advanced technologies, including LiDAR, radar, and high-resolution cameras. However, these solutions often came with high costs, making them less accessible for widespread use. In response to the need for cost-effective yet reliable obstacle avoidance systems, recent innovations have focused on integrating affordable and efficient components like the Raspberry Pi and ultrasonic sensors. These systems, while initially simple, have been progressively enhanced to include additional sensors, such as metal detectors and cameras, to provide a more comprehensive detection capability. Moreover, the incorporation of Bluetooth technology has allowed for more seamless user interaction, particularly through smartphone applications, further increasing the usability and flexibility of these systems. In the advanced version of this system, additional features are being incorporated to further enhance detection capabilities and overall performance. These enhancements include the integration of a metal detector and a camera, which will provide more comprehensive detection and improve the system’s ability to navigate complex environments. These improvements aim to ensure robust obstacle avoidance, making automated vehicles safer and more reliable.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 12
PageNo: 6487-6495

Powered Obstacle Avoidance with Bluetooth-Controlled Navigation in Automated Vehicles Using Raspberry Pi

Available:https://ijirt.org/article?manuscript=179463

24 Dec, 2024

Developing Commercial Application using React,Redux and Custom API

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now