4 papers
PIER-Flow: Physics-Informed Efficient Rectified Flow for Real-Time Mobile Robot Navigation
Shibo Li, Zhongcheng Wang, Jiahe Cao +2
Autonomous navigation in dense and highly dynamic environments requires both physically feasible control and low-latency replanning. Optimization-based methods such as Model Predic…
EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge
Jiahe Cao, Xiaomeng Li, Qiang Liu +3
As edge computing expands, serving multiple deep neural network (DNN) models on a single shared GPU has become a common yet challenging scenario, where each scheduling decision aff…
Infrastructure Sensor-enabled Vehicle Data Generation using Multi-Sensor Fusion for Proactive Safety Applications at Work Zone
Suhala Rabab Saba, Sakib Khan, Minhaj Uddin Ahmad +5
Infrastructure-based sensing and real-time trajectory generation show promise for improving safety in high-risk roadway segments such as work zones, yet practical deployments are h…
CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing
Jiahe Cao, Qiang Liu, Dawei Chen +1
In-vehicle edge computing is a much anticipated paradigm to serve ever-increasing computation demands originated from the ego vehicle, such as passenger entertainments. In this pap…