COSMOS Smart Intersection: Edge Compute and Communications for Bird's Eye Object Tracking

Shiyun Yang, Emily Bailey, Zhengye Yang, Jonatan Ostrometzky, Gil Zussman, Ivan Seskar, Zoran Kostic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Smart-city intersections will play a crucial role in automated traffic management and improvement in pedestrian safety in cities of the future. They will (i) aggregate data from in-vehicle and infrastructure sensors; (ii) process the data by taking advantage of low-latency high-bandwidth communications, edge-cloud computing, and AI-based detection and tracking of objects; and (iii) provide intelligent feedback and input to control systems. The Cloud Enhanced Open Software Defined Mobile Wireless Testbed for City-Scale Deployment (COSMOS) enables research on technologies supporting smart cities. In this paper, we provide results of experiments using bird's eye cameras to detect and track vehicles and pedestrians from the COSMOS pilot site. We assess the capabilities for real-time computation, and detection and tracking accuracy-by evaluating and customizing a selection of video pre-processing and deep-learning algorithms. Distinct issues that are associated with the difference in scale for bird's eye view of pedestrians vs. cars are explored and addressed: the best multiple-object tracking accuracies (MOTA) for cars are around 73.2, and around 2.8 for pedestrians. The real-time goal of 30 frames-per-second-i.e., a total of 33.3 ms of latency for object detection for vehicles will be reachable once the processing time is improved roughly by a factor of three.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728147161
DOIs
StatePublished - Mar 2020
Externally publishedYes
Event2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 - Austin, United States
Duration: 23 Mar 202027 Mar 2020

Publication series

Name2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020

Conference

Conference2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
Country/TerritoryUnited States
CityAustin
Period23/03/2027/03/20

Keywords

  • deep learning
  • detection
  • smart-city
  • smart-intersection
  • testbed
  • tracking
  • wireless

Fingerprint

Dive into the research topics of 'COSMOS Smart Intersection: Edge Compute and Communications for Bird's Eye Object Tracking'. Together they form a unique fingerprint.

Cite this