Search Results for author: Amir Khajepour

Found 5 papers, 2 papers with code

Enhancing Indoor Mobility with Connected Sensor Nodes: A Real-Time, Delay-Aware Cooperative Perception Approach

1 code implementation4 Nov 2024 Minghao Ning, Yaodong Cui, Yufeng Yang, Shucheng Huang, Zhenan Liu, Ahmad Reza Alghooneh, Ehsan Hashemi, Amir Khajepour

This paper presents a novel real-time, delay-aware cooperative perception system designed for intelligent mobility platforms operating in dynamic indoor environments.

An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion

1 code implementation29 Oct 2024 Minghao Ning, Ahmad Reza Alghooneh, Chen Sun, Ruihe Zhang, Pouya Panahandeh, Steven Tuer, Ehsan Hashemi, Amir Khajepour

In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction.

Autonomous Driving

WATonoBus: Field-Tested All-Weather Autonomous Shuttle Technology

no code implementations1 Dec 2023 Neel P. Bhatt, Ruihe Zhang, Minghao Ning, Ahmad Reza Alghooneh, Joseph Sun, Pouya Panahandeh, Ehsan Mohammadbagher, Ted Ecclestone, Ben MacCallum, Ehsan Hashemi, Amir Khajepour

All-weather autonomous vehicle operation poses significant challenges, encompassing modules from perception and decision-making to path planning and control.

All Decision Making

A Direct Slip Ratio Estimation Method based on an Intelligent Tire and Machine Learning

no code implementations9 Jun 2021 Nan Xu, Zepeng Tang, Hassan Askari, Jianfeng Zhou, Amir Khajepour

The proposed estimation model is able to estimate the slip ratio continuously and stably using only the acceleration from the intelligent tire system, and the estimated slip ratio range can reach 30%.

Autonomous Vehicles BIG-bench Machine Learning

Lateral Force Prediction using Gaussian Process Regression for Intelligent Tire Systems

no code implementations25 Sep 2020 Bruno Henrique Groenner Barbosa, Nan Xu, Hassan Askari, Amir Khajepour

It is delineated that the proposed intelligent tire system can provide reliable information about the tire-road interactions even in the case of high slip angles.

GPR regression

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