Search Results for author: Omidreza Shoghli

Found 2 papers, 0 papers with code

Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times

no code implementations22 Mar 2024 Sepehr Sabeti, Fatemeh Banani Ardecani, Omidreza Shoghli

The primary objective of this study is to improve safety measures within roadway work zones by conducting an extensive analysis of how different combinations of multimodal AR warnings influence the reaction times of workers.

Pose Estimation

DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways

no code implementations1 Aug 2021 Vinit Katariya, Mohammadreza Baharani, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi

Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation systems (ITS) applications used in management and operations.

Management Trajectory Prediction

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