Driver-assistance systems and fully autonomous vehicles could address the global challenges of traffic congestion and reduced road capacity. Although the field of autonomous transportation is growing rapidly, system complexity and cost have delayed progress. This project attempts to mitigate these issues through the development of a scale model robot that utilizes the sensors of smartphones for autonomous navigation and collision avoidance. Designing a model robotic system is simpler and more cost-effective than developing one for a full-sized vehicle. This project investigates the possibility of using smartphones sensors as a viable alternative to high-end, expensive sensors. The system utilizes the Orca Robotics software framework, which provides a library of modular and customizable components. The results from this study suggest that integrating smartphone sensors is much more challenging than using standalone devices. Further work is needed to confirm the feasibility of using these sensors. Ideally, as smartphones continue to improve in computational power and sensor accuracy, it will be possible to use them as integral components in autonomous systems.




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