Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{187857,
author = {Dr. Ushadevi M B and Gowri R and Yashaskara T G and Srujan D and V K Sumukh},
title = {Self-balancing cycle with built-in ADAS},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {6},
pages = {7373-7379},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=187857},
abstract = {This project introduces a self-balancing, self-driving bicycle using gimbal-based stabilization for precise control. A microcontroller processes real-time gyroscope and accelerometer data to adjust the gimbal motors. Autonomous navigation is achieved with ultrasonic sensors, GPS, and computer vision, enabling obstacle avoidance and predefined path following. Testing showed reliable balance even under disturbances like wind and uneven terrain, with smoother operation than traditional methods. The system enhances urban mobility and reduces manual control needs. Future improvements will focus on energy efficiency, terrain adaptability, and AI-driven navigation to advance intelligent transportation solutions.},
keywords = {ADAS, Artificial Intelligence, Gimbal Stabilization, Self-Balancing Cycle},
month = {November},
}
Cite This Article
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 NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry