Peer-Reviewed Conference Papers

An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers [Link]

Gandhimathi Padmanaban, Jachim, Nathaniel P., Shandi, Hala, Avetisyan, Lilit, Smith, Garrett, Hammoud, Howrah, and Zhou, Feng

AutomotiveUI '21 Adjunct: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Association for Computing Machinery, 2021, pp. 142–147.

A Comparative Analysis of Acceleration and Deceleration Profiles for Aggressive Driving Styles and Fuel Economy Test Cycles [Link]

Gandhimathi Padmanaban and Feng, Fred and Dai, Edward and Saini, Ankit and Hu, Guopeng and Zhao, Yanan

SAE Technical Paper 2025-01-8605, 2025

Under Review & In Preparation

A Machine Learning Approach to Identify Aggressive Driving Patterns based on Vehicle Longitudinal Jerk

Gandhimathi Padmanaban, Feng, Fred, Dai, Edward, Saini, Ankit, Hu, Guopeng, and Zhao, Yanan

Under review, 2025

A Geometry-Informed Computer Vision Method for Detecting and Examining Overtaking Vehicles From a Bicycle

Gandhimathi Padmanaban, Moustafa, Rayane, and Feng, Fred

Under review, 2025

Quantifying Drivers-Overtaking-Bicyclists with Surrogate Safety Measures Derived from High-Resolution Digital Lidar

Moustafa, Rayane, Gandhimathi Padmanaban, and Feng, Fred

Under review, 2025

Calibration-Free Object Distance Estimation from 2D Images Using Geometry-Informed Computer Vision

Gandhimathi Padmanaban and Feng, Fred

In preparation, 2025