activity
20242026
collaborators

12 papers

cs.RO2026

CoInfra: A Large-Scale Cooperative Infrastructure Perception System and Dataset for Vehicle-Infrastructure Cooperation in Adverse Weather

Minghao Ning, Yufeng Yang, Keqi Shu +10

Vehicle-infrastructure (V2I) cooperative perception can substantially extend the range, coverage, and robustness of autonomous driving systems beyond the limits of onboard-only sen…

cs.RO2026

Real-World Deployment of Cloud-based Autonomous Mobility Systems for Outdoor and Indoor Environments

Yufeng Yang, Minghao Ning, Keqi Shu +3

Autonomous mobility systems increasingly operate in dense and dynamic environments where perception occlusions, limited sensing coverage, and multi-agent interactions pose major ch…

cs.RO2026

SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes

Minghao Ning, Yufeng Yang, Shucheng Huang +5

Autonomous driving systems must operate smoothly in human-populated indoor environments, where challenges arise including limited perception and occlusions when relying only on onb…

cs.CV2026

A Lightweight Model-Driven 4D Radar Framework for Pervasive Human Detection in Harsh Conditions

Zhenan Liu, Amir Khajepour, George Shaker

Pervasive sensing in industrial and underground environments is severely constrained by airborne dust, smoke, confined geometry, and metallic structures, which rapidly degrade opti…

cs.CV2026

Real-Time 4D Radar Perception for Robust Human Detection in Harsh Enclosed Environments

Zhenan Liu, Yaodong Cui, Amir Khajepour +1

This paper introduces a novel methodology for generating controlled, multi-level dust concentrations in a highly cluttered environment representative of harsh, enclosed environment…

cs.RO2025

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models

Shucheng Huang, Freda Shi, Chen Sun +6

Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous v…