Enhancing Intersection Identification for Autonomous Vehicles: A Hash-Based Approach

The rapid advancement and deployment of Autonomous Vehicles (AVs) necessitate innovative solutions for reliable and efficient navigation. In this context, a crucial aspect is the unequivocal identification of intersections. This paper proposes a novel methodology for uniquely identifying intersections by applying a hash algorithm that generates a distinct fingerprint of each intersection, inspired by the operational mechanisms within blockchain platforms, particularly mimicking the generation of Transaction Hashes. The solution's core is creating a hash tree to unequivocally identify the intersection for the AVs' navigation. The application to a real complex case study shows the applicability of the proposed approach.