COSMOS Smart Intersections, Cloud-Connected Vehicles - Applications of Deep Learning

Research on: (i) COSMOS cloud connected vehicles, (ii) Monitoring of traffic intersections, using bird’s eye cameras, supported by ultra-low latency computational/communications hubs; (iii) Simultaneous video-based tracking of cars and pedestrians, and prediction of movement based on long-term observations of the intersection; (iv) Real-time computational processing, using deep learning, utilizing GPUs, in support of COSMOS applications; (v) Sub-10ms latency communication between all vehicles and the edge cloud computational/communication hub, to be used in support of autonomous vehicle navigation. The research is performed using the pilot node of the project COSMOS infrastructure https://cosmos-lab.org/.

Name of Lab: COSMOS applications lab

Dates: 6/1/2020 - 8/21/2020

Direct Supervisor: Zoran Kostic

Paid: Yes

Credit: Yes

Hours per week: 20

Number of positions: 4

 

Qualifications/skill-set: Machine learning, Deep Learning, Signal Processing, Video Processing, Data Analysis, Software Development, Cloud Computing, GPUs.

Eligibility: Junior, Senior, Master's (SEAS only)

Zoran Kostic, zk2172@columbia.edu