PhD Thesis Proposal - Christina Shin

Title:  Harnessing Vehicular 3D Primitives for Networked Scene Operation and Manipulation
 
Date and Time: Tuesday, May 13th, 2025 | 11am-12:30pm
 
 
Location: GCS 402C
 
 

Committee Members: Ramesh Govindan (Advisor), Laurent Itti, Harsha V. Madhyastha, Antonio Ortega, Barath Raghavan
 

Abstract: This proposal explores a cloud-centric framework for managing 3D data as a networked and shared resource in vehicular systems. Fueled by 3D sensors like LiDARs, 3D data enables new ways of perceiving and interacting with the physical world with high spatial fidelity. With the rise of vehicular communication, 3D data can now be streamed, fused, and interpreted beyond local on-board devices enabling new forms of collaborative scene understanding and immersive content delivery.
The proposal introduces two systems: RECAP, which reconstructs traffic scenes by aggregating 3D data from moving vehicles, and CIP, which performs collaborative perception using multiple infrastructure sensors. These works demonstrate how cloud processing can support real-time, accurate, and scalable 3D scene operations. Looking ahead, the proposed system MARS aims to deliver 3D video to vehicles for immersive passenger experiences, expanding the use of 3D data beyond machine perception to human-centered applications.

Location: Ginsburg Hall (GCS) - 402C

Audiences: Everyone Is Invited

Contact: Christina Shin

This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

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