Gandhimathi Padmanaban

Gandhimathi Padmanaban

Applied Computer Vision · Reliable Perception · Machine Learning

Publications

Full list also on Google Scholar and ORCID.

Peer-Reviewed

A Comparative Analysis of Acceleration and Deceleration Profiles for Aggressive Driving Styles and Fuel Economy Test Cycles [DOI]
Gandhimathi Padmanaban, Fred Feng, Edward Dai, Ankit Saini, Guopeng Hu, and Yanan Zhao
WCX SAE World Congress Experience, 2025. SAE Technical Paper 2025-01-8605.
An Autonomous Driving System: Dedicated Vehicle for People with ASD and their Caregivers [DOI]
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, ACM, 2021, pp. 142-147.

Under Review & Preprints

A Machine Learning Framework to Identify Aggressive Driving Based on Vehicle Kinematics and Driver Pedal Operations
Gandhimathi Padmanaban, Fred Feng, Edward Dai, Ankit Saini, Guopeng Hu, and Yanan Zhao
Under review, Engineering Applications of Artificial Intelligence, 2025.
Under Review
A Geometry-Informed Computer Vision Method for Detecting and Examining Overtaking Vehicles From A Bicycle [NSF PAR]
Gandhimathi Padmanaban, Rayane Moustafa, and Fred Feng
In preparation for Accident Analysis & Prevention, 2026. Presented at TRB Annual Meeting 2026 (poster).
In Preparation
Vision-Based Lateral Passing Distance Estimation from Bicycle-Mounted Cameras: A Projective Geometry Approach
Gandhimathi Padmanaban and Fred Feng
Submitted to the International Cycling Safety Conference, 2026.
Submitted
An Open-Source Two-Stage Computer Vision Pipeline for Fine-Grained Vehicle Classification using Vision Transformers [arXiv]
Gandhimathi Padmanaban and Fred Feng
Preprint arXiv:2606.05149, 2026. Target: Transportation Research Part C.
Preprint