Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been recently published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (ACM IMWUT/UbiComp). IMWUT covers a broad range of topics relevant to this change, such as mobile systems, wearable technologies and intelligent environments. The scope includes research contributions in systems and infrastructures, new hardware and sensing techniques, and studies of user experiences and societal impact. The acceptance rate of IMWUT is usually 20%~25%. The paper title is “SmallMap: Low-cost Community Road Map Sensing with Uncertain Delivery Behavior” and Dr. Guang Wang is the corresponding author of this paper.
In this work, they designed a novel framework called SmallMap that leverages ubiquitous multi-modal sensing data from last-mile delivery to automatically generate community road networks with low costs. This is the first study to generate community road networks by utilizing noisy sampled multi-modal sensing data from last-mile delivery. The generated fine-grained community road networks have great potential to benefit various emerging door-to-door services such as on-demand food delivery, last-mile delivery, autonomous driving, and emergency services.
The paper was published by the latest issue of Proceedings of the ACM IMWUT and will be presented at the ACM UbiComp 2024 conference in Melbourne, Australia, in October.