Self-balancing cycle with built-in ADAS

  • Unique Paper ID: 187857
  • Volume: 12
  • Issue: 6
  • PageNo: 7373-7379
  • 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.

Copyright & License

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.

BibTeX

@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

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 6
  • PageNo: 7373-7379

Self-balancing cycle with built-in ADAS

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