activity
20172026
most citedA Novel Design and Performance Optimization Methodology for Hydraulic Cross-Flow Turbines using Successive Numerical Simulations

29 citations · 92 across the 10 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

eess.IV2020★ 4 cited

Automating Abnormality Detection in Musculoskeletal Radiographs through Deep Learning

Goodarz Mehr

This paper introduces MuRAD (Musculoskeletal Radiograph Abnormality Detection tool), a tool that can help radiologists automate the detection of abnormalities in musculoskeletal ra…

cs.RO2020★ 20 cited

Sentinel: An Onboard Lane Change Advisory System for Intelligent Vehicles to Reduce Traffic Delay during Freeway Incidents

Goodarz Mehr, Azim Eskandarian

This paper introduces Sentinel, an onboard system for intelligent vehicles that guides their lane changing behavior during a freeway incident with the goal of reducing traffic cong…

eess.SY2020★ 5 cited

A Probabilistic Approach to Driver Assistance for Delay Reduction at Congested Highway Lane Drops

Goodarz Mehr, Azim Eskandarian

This paper proposes an onboard advance warning system based on a probabilistic prediction model that advises vehicles on when to change lanes for an upcoming lane drop. Using sever…

eess.SY2020★ 5 cited

Traffic Delay Reduction at Highway Diverges Using an Advance Warning System Based on a Probabilistic Prediction Model

Goodarz Mehr, Azim Eskandarian

This paper presents an on-board advance warning system for vehicles based on a probabilistic prediction model that advises them on when to change lanes to reach a highway diverge o…

cs.RO2020★ 7 cited

Estimating the Probability that a Vehicle Reaches a Near-Term Goal State Using Multiple Lane Changes

Goodarz Mehr, Azim Eskandarian

This paper proposes a model to estimate the probability of a vehicle reaching a near-term goal state using one or multiple lane changes based on parameters corresponding to traffic…