Project components: (i) Monitoring of traffic intersections, using bird’s eye cameras, supported by ultra-low latency computational/communications hubs; (ii) Simultaneous video-based tracking of cars and pedestrians, and prediction of movement based on long-term observations of the intersection; (iii) Real-time computational processing, using deep learning, utilizing GPUs, in support of ii; (iv) Sub-10ms latency communication between all vehicles and the computational/communication hub, to be used in support of autonomous vehicle navigation.

Students (DSI scholars) will pursue initial work in support of developing video data analysis applications to run on the testbed which will start being deployed by Columbia in a large area around Columbia and Harlem.

This project is subject to available funding.

Faculty Advisors

  • Professor Zoran Kostic
  • Department/School: EE/SEAS
  • Location: Shapiro 813

Project timeline

  • Start date: 06/01/2018
  • End date: 09/01/2018
  • Number of hours per week of research expected: 20-40

Candidate requirements

  • Skill sets: Deep learning, video acquisition and processing, data organization and analysis.
  • Studet eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible