Events

Qualifying Exam

Cyber-Physical Systems for Crowdsensing-based Indoor Mapping

 

Download as iCal file

Monday, April 21, 2025, 08:30am - 09:30am

 

Speaker: Haijun Wu

Bio

Location : CoRE 305

Committee

Associate Professor Desheng Zhang

Assistant Professor Dong Deng

Associate Professor Yongfeng Zhang

Assistant Professor Xintong Wang

Event Type: Qualifying Exam

Abstract: Indoor mapping is a specialized field that focuses on creating detailed representations of interior spaces. Unlike outdoor mapping, which benefits from technologies like GPS and extensive satellite imagery, indoor mapping presents unique challenges due to indoor environments confined and complex nature. Traditional methods typically rely on costly specialized devices and labor-intensive manual collection. Recent research proposes various crowdsensing-based solutions that leverage low-cost mobile devices to explore indoor environments and generate maps more efficiently. Despite its advantages, these methods still require strictly regulated data collection and device calibration procedures that hinder low-cost frequent updates. In light of this, we propose a crowdsensing-based indoor POI positioning and mapping system that leverages the courier's operation logs and order records in logistics scenarios to generate indoor maps spontaneously, without any extra effort from couriers besides their normal daily routine. Specifically, we align couriers' physical activities and digital behaviors to identify the spatiotemporal arrival event whenever they approach a POI. We creatively model the indoor POI mapping task as a classic graph realization problem. By estimating the courier's travel distances between POIs using mobile IMU inputs, we form adjacent POIs into patches, then analyze the distance geometric relations between patches to pinpoint the absolute indoor locations for POIs and generate semantic indoor POI maps accordingly.Publication: Spontaneous Indoor POI Mapping with Uncertain Courier Mobility Data, under review.

Organization

Contact  Associate Professor Desheng Zhang

https://rutgers.zoom.us/j/5034279181?pwd=U2FFOGIwVkJJV1dHbzYxK2VTVDBiZz09