9 citations · 17 across the 5 of their papers we have counts for
5 papers
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…
Decision Making in Urban Traffic: A Game Theoretic Approach for Autonomous Vehicles Adhering to Traffic Rules
Keqi Shu, Minghao Ning, Ahmad Alghooneh +3
One of the primary challenges in urban autonomous vehicle decision-making and planning lies in effectively managing intricate interactions with diverse traffic participants charact…
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…
SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes
Minghao Ning, Yufeng Yang, Shucheng Huang +5
Autonomous mobile robots must operate smoothly in human-populated indoor environments, where onboard-only sensing suffers from limited perception range and occlusions, and socially…
Autonomous Driving at Intersections: A Critical-Turning-Point Approach for Left Turns
K. Shu, H. Yu, X. Chen +4
Left-turn planning is one of the formidable challenges for autonomous vehicles, especially at unsignalized intersections due to the unknown intentions of oncoming vehicles. This pa…