activity
20202026
most citedObserving Responses to the COVID-19 Pandemic using Worldwide Network Cameras

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Context-Aware Intelligent Vehicles

Liangkai Liu, Shuyao Shi, Mingke Wang +4

Intelligent vehicles increasingly support adaptive applications beyond driving themselves, ranging from context-aware ADAS and automated driving to in-cabin monitoring and fleet ma…

cs.RO2024★ 2 cited

Achieving the Safety and Security of the End-to-End AV Pipeline

Noah T. Curran, Minkyoung Cho, Ryan Feng +6

In the current landscape of autonomous vehicle (AV) safety and security research, there are multiple isolated problems being tackled by the community at large. Due to the lack of c…

cs.HC2024★ 1 cited

Ads that Talk Back: Implications and Perceptions of Injecting Personalized Advertising into LLM Chatbots

Brian Jay Tang, Kaiwen Sun, Noah T. Curran +2

Recent advances in large language models (LLMs) have enabled the creation of highly effective chatbots. However, the compute costs of widely deploying LLMs have raised questions ab…

eess.SY2023

Analysis and Prevention of MCAS-Induced Crashes

Noah T. Curran, Thomas W. Kennings, Kang G. Shin

Semi-autonomous (SA) systems face the challenge of determining which source to prioritize for control, whether it's from the human operator or the autonomous controller, especially…

cs.CY2020★ 5 cited

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras

Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell +18

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observin…