8 citations · 19 across the 14 of their papers we have counts for
14 papers
Learning Agent-based Model Predictive Control for Holistic Vehicle Performance
Jiaming Zhong, Reza Valiollahi Mehrizi, Mohammad Pirani +4
Agent-based model predictive control (AMPC) has recently been proposed as a distributed scheme that collaborates with all agents to achieve optimal holistic performance. However, i…
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…
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…
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…
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…
An Efficient Continual Learning Framework for Multivariate Time Series Prediction Tasks with Application to Vehicle State Estimation
Arvin Hosseinzadeh, Ladan Khoshnevisan, Mohammad Pirani +2
In continual time series analysis using neural networks, catastrophic forgetting (CF) of previously learned models when training on new data domains has always been a significant c…
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…
CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Perception
Maaz Qureshi, Alexander Werner, Zhenan Liu +3
Sparse and feature SLAM methods provide robust camera pose estimation. However, they often fail to capture the level of detail required for inspection and scene awareness tasks. Co…
Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach
Minghao Ning, Yaodong Cui, Yufeng Yang +5
This paper presents a novel real-time, delay-aware cooperative perception system designed for intelligent mobility platforms operating in dynamic indoor environments. The system co…
Intelligent Mobility System with Integrated Motion Planning and Control Utilizing Infrastructure Sensor Nodes
Yufeng Yang, Minghao Ning, Shucheng Huang +2
This paper introduces a framework for an indoor autonomous mobility system that can perform patient transfers and materials handling. Unlike traditional systems that rely on onboar…
An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion
Minghao Ning, Ahmad Reza Alghooneh, Chen Sun +5
In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. Perception is crucial in autonomous driving, where m…
WATonoBus: Field-Tested All-Weather Autonomous Shuttle Technology
Neel P. Bhatt, Ruihe Zhang, Minghao Ning +8
All-weather autonomous vehicle operation poses significant challenges, encompassing modules from perception and decision-making to path planning and control. The complexity arises…