Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection

Sanika Ajay Ghorpade; Ruchira Ravindra Karle; Aishwarya Dhananjay Kakade; Prof. P. S. Vaikar

Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection

January 2025

Vol-11, Issue-1

Paper ID: 25712

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Design Engineering

Keywords

Autonomous Vehicles Internet of Things (IoT) Signal Detection Pedestrian Recognition Object Detection Real-Time Data Processing Smart Transportation Safety Enhancement Machine Learning Sensor Integration etc

Abstract

This project aims to design advanced autonomous vehicles equipped with Internet of Things (IoT) technology to enhance their capability to recognize traffic signals, pedestrians, and obstacles in their vicinity. By leveraging cutting-edge sensors and IoT integration, these vehicles can collect and analyze real-time environmental data. The processed information enables the system to make intelligent driving decisions, significantly boosting road safety and operational efficiency. The project highlights essential features such as real-time detection and recognition of traffic signals, pedestrian identification, and obstacle detection to minimize the risk of accidents. Extensive testing across diverse driving scenarios will be conducted to evaluate the vehicle's reliability and responsiveness. By showcasing how IoT can enhance the functionality of autonomous vehicles, the initiative aims to introduce smarter and safer transportation solutions for urban areas. The ultimate objective is to advance autonomous driving technology and contribute to creating safer roadways for all users.

License

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Author Information

#	Name	Institute / Affiliation
1	Sanika Ajay Ghorpade	Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India
2	Ruchira Ravindra Karle	Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India
3	Aishwarya Dhananjay Kakade	Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India
4	Prof. P. S. Vaikar	Dr. Vithalrao Vikhe Patil College of Engineering, Ahmednagar, Maharashtra, India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Ghorpade, Sanika Ajay, Karle, Ruchira Ravindra, Kakade, Aishwarya Dhananjay, & Vaikar, Prof. P. S. (2025). Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection. International Journal of Advance Research and Innovative Ideas In Education, 11(1), 809-813.

MLA Style

Ghorpade, Sanika Ajay, et al. "Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, 2025, pp. 809-813.

IEEE Style

Sanika Ajay Ghorpade, Ruchira Ravindra Karle, Aishwarya Dhananjay Kakade, and Prof. P. S. Vaikar, "Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 1, pp. 809-813, 2025.

Vancouver Style

Ghorpade Sanika Ajay, Karle Ruchira Ravindra, Kakade Aishwarya Dhananjay, Vaikar Prof. P. S.. Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(1):809-813.

Harvard Style

Ghorpade, Sanika Ajay, Karle, Ruchira Ravindra, Kakade, Aishwarya Dhananjay, & Vaikar, Prof. P. S. (2025) 'Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection', International Journal of Advance Research and Innovative Ideas In Education, 11(1), pp. 809-813.

Chicago Style

Ghorpade, Sanika Ajay, et al. "Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 809-813.

Turabian Style

Ghorpade, Sanika Ajay, et al. "Next-Gen Autonomous Vehicles: Leveraging IoT for Enhanced Object and Signal Detection." International Journal of Advance Research and Innovative Ideas In Education 11, no. 1 (2025): 809-813.