7 papers
Computing on the Fly: Navigating a Vision for the Future of Drone Computing
Kevin Butler, Christopher Stewart, Nils Aschenbruck +4
The report envisions a decade in which drones move goods, medical supplies, and information at a scale comparable to national infrastructure investments like highways and the elect…
Report for NSF Workshop on Algorithm-Hardware Co-design for Medical Applications
Peipei Zhou, Zheng Dong, Insup Lee +8
This report summarizes the discussions and recommendations from the NSF Workshop on Algorithm-Hardware Co-design for Medical Applications, held on September 26-27, 2024, in Pittsbu…
DAVOS: An Autonomous Vehicle Operating System in the Vehicle Computing Era
Yuxin Wang, Yuankai He, Boyang Tian +2
Vehicle computing represents a fundamental shift in how autonomous vehicles are designed and deployed, transforming them from isolated transportation systems into mobile computing…
Computational Onboard Data Management for Heterogeneous Autonomous Vehicle Streams
Yuxin Wang, Yuankai He, Weisong Shi +1
Autonomous vehicles continuously generate large volumes of heterogeneous sensor and state data streams. While this data supports real-time autonomy, it also enables emerging vehicl…
CARScenes: Semantic VLM Dataset for Safe Autonomous Driving
Yuankai He, Weisong Shi
CAR-Scenes is a frame-level dataset for autonomous driving that enables training and evaluation of vision-language models (VLMs) for interpretable, scene-level understanding. We an…
A Faster and More Reliable Middleware for Autonomous Driving Systems
Yuankai He, Weisong Shi
Ensuring safety in high-speed autonomous vehicles requires rapid control loops and tightly bounded delays from perception to actuation. Many open-source autonomy systems rely on RO…
Context-aware Risk Assessment and Its Application in Autonomous Driving
Boyang Tian, Weisong Shi
Ensuring safety in autonomous driving requires precise, real-time risk assessment and adaptive behavior. Prior work on risk estimation either outputs coarse, global scene-level met…