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/.
COSMOS applications - short description: smart cities, smart intersections, cloud connected vehicles, applications of artificial intelligence, real time edge computing, https://cosmos-lab.org/experimentation/smart-city-intersections/.
Name of Lab: ZKLAB
Dates: 5/15/2021 - 8/13/2021
Direct Supervisor: Zoran Kostic
Hours per week: 20
Number of positions: 3
Qualifications/skill-set: Machine Learning, Deep Learning, Signal Processing, Video Processing, Data Analysis, Software Development, Cloud Computing, GPUs.
Eligibility: Freshman, Sophomore, Junior, Senior, Master's (SEAS only)