Authors - Pradeepkumar G, Priya Devi T, S A Suje, Gobinath S, M Dhanapal Abstract - Nowadays self-driving cars are gaining attraction globally but their implementation in India faces significant hurdles due to the inadequacies of existing approaches reliant on GPS and sensor technologies. The erratic nature of Indian roads, characterized by variable road conditions and inaccuracies in mapping, renders conventional methods unreliable. To address these challenges, propose a novel approach utilizing pattern matching techniques for autonomous navigation. The solution involves deploying specialized patterns on the road surface, facilitating accurate detection and identification of pathways suitable for autonomous driving. By utilizing a modelled car equipped with a Raspberry Pi for image processing, the system captures road imagery via onboard cameras. These images are then transmitted to a remote computer for analysis and subsequent navigation instructions. Additionally, an array of sensors is deployed to detect and avoid obstacles in the vehicle's vicinity. The key innovation lies in the hybrid approach, which combines traditional sensor-based navigation with the novel pattern matching methodology. By leveraging these complementary technologies, the prototype aims to provide robust autonomous navigation tailored to the unique challenges of Indian roads.
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