Proximity-based interactions underlie applications such as retail payments using smartphone-apps like Apple Pay and Google Wallet, automated grocery store checkout, and vehicular transactions for toll payments. In these applications, a transaction takes place between two objects when they come close to each other, with relative proximity determining the pairing. In this paper, we present a new approach to enable highly accurate pairing of vehicles to specific lanes in a wide-range of vehicle-based multi-lane service stations using general-purpose commodity communication and sensing technology. To evaluate its performance, we consider an example application of pairing vehicles to respective quality check bays in an automobile manufacturing plant. Our proposed system called Soft-Swipe works by matching natural signatures (specifically, motion signatures) generated by the target object with the same signature detected by simple instrumentation of the environment (a video camera or an inexpensive sensor array). Soft-Swipe implemented in a vehicle testing station performed pairing with median F-score of 96% using vision-only system, 92% using sensor-only system and, 99% using both
citation: ‘Gopi Krishna Tummala , Derrick Cobb, Prasun Sinha and Rajiv Ramnath. Soft-Swipe: Enabling High-Accuracy Pairing of Vehicles to Lanes using COTS. In Proceedings of the First ACM International Workshop on Smart, Autonomous, and Connected Vehicular Systems and Services, pp. 62-63. ACM, 2016.