Year: 2025
Type: article
Abstract: This paper presents the implementation of an autonomous self-driving bot integrated with deep learning for object detection, showcasing its potential in real-world scenarios. The system employs cutting-edge deep learning models such as YOLO (You Only Look Once) to perform real-time object recognition, enabling the bot to detect vehicles and obstacles with high precision. The proposed solution incorporates sensor fusion, combining camera inputs with data from ultrasonic sensors to ensure robust perception and environmental awareness.Experimental results demonstrate the system's ability to detect objects with over 93 accuracy.
DOI: 10.55041/ijsrem41326
Authors: T S Preethivardhan, Sharanya Y S
Language: English
Subfield: Automotive Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4407110364