Publications

Peer-Reviewed Papers

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

Gandhimathi Padmanaban, Rayane Moustafa, and Fred Feng

TRB Annual Meeting (Accepted), 2026

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

Rayane Moustafa, Gandhimathi Padmanaban, and Fred Feng

TRB Annual Meeting (Accepted), 2026

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

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

SAE Technical Paper 2025-01-8605, WCX SAE World Congress Experience, 2025

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

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

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

Under Review & In Preparation

A Machine Learning Pipeline Framework to Identify Aggressive Driving Based on Vehicle Kinematics and Driver's Pedal Operations

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

Under review, 2025

Geometry-Informed Distance Estimation from 2D Bounding Boxes for Vehicle Overtaking Analysis

Gandhimathi Padmanaban and Fred Feng

In preparation, 2025