4 citations · 6 across the 6 of their papers we have counts for
7 papers
Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation
Bruno H. Groenner Barbosa, Neel P. Bhatt, Amir Khajepour +1
This paper presents a generic feature-based navigation framework for autonomous vehicles using a soft constrained Particle Filter. Selected map features, such as road and landmark…
Modeling, Vibration Control, and Trajectory Tracking of a Kinematically Constrained Planar Hybrid Cable-Driven Parallel Robot
Ronghuai Qi, Amir Khajepour, William W. Melek
This paper presents a kinematically constrained planar hybrid cable-driven parallel robot (HCDPR) for warehousing applications as well as other potential applications such as rehab…
Tire Force Estimation in Intelligent Tires Using Machine Learning
Nan Xu, Hassan Askari, Yanjun Huang +2
The concept of intelligent tires has drawn attention of researchers in the areas of autonomous driving, advanced vehicle control, and artificial intelligence. The focus of this pap…
Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems
Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari +1
Understanding the dynamic behavior of tires and their interactions with road plays an important role in designing integrated vehicle control strategies. Accordingly, having access…
Efficient electrochemical model for lithium-ion cells
Sepideh Afshar, Kirsten Morris, Amir Khajepour
Lithium-ion batteries are used to store energy in electric vehicles. Physical models based on electro-chemistry accurately predict the cell dynamics, in particular the state of cha…
Cooperative Vehicle Speed Fault Diagnostics and Correction
Mohammad Pirani, Ehsan Hashemi, Amir Khajepour +3
Reliable estimation (or measurement) of vehicle states has always been an active topic of research in the automotive industry and academia. Among the vehicle states, vehicle speed…