Founding Director, National Center for Transportation Cybersecurity and Resiliency. Verified email at clemson.edu - Homepage

Autonomous Vehicle Systems Big Data Analytics for Transportation Intelligent Transportation Systems Applications in Traffic Engineering Connected Vehicle ...

In this study, we develop a physics-based autonomous vehicle longitudinal driver model (PAVL-DM) to move an automated vehicle (AV) forward with a minimum ...

We develop a DNN-based autonomous vehicle driving system using object detection and semantic segmentation to mitigate the adverse effect of this type of ...

Publications · A First Look At Employing Large Multimodal Models Against Autonomous Vehicle Attacks · An Initial Exploration of Employing Large Multimodal Models ...

The objective of this study was to identify the risks associated with the failure of an autonomous vehicle in mixed traffic streams.

“Clemson's autonomous vehicle is an open system, so we can program the robot and see how it operates,” Chowdury says. “We will test how easily we can hack.

Jul 31, 2019 · In this study, we first introduce a hazardous roadway environment that can compromise the DNN-based navigational system of an autonomous vehicle ...

Papers by Mashrur Chowdhury. Research paper thumbnail of Vision-Based Navigation of Autonomous Vehicles in Roadway Environments with Unexpected. Vision-Based ...

The findings of this research would help design AV controllers for improving the safety of an AV merging operation in a mixed traffic stream.