most citedEnhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Damage detection in railway wheels from impact-induced ultrasonic ring-down using self-referenced decay features

Aashish Shaju, Steve Southward, Mehdi Ahmadian

This study evaluates a non-contact screening method for stationary railroad wheelsets using air-coupled ultrasonic measurements excited by hammer impacts. Two decay features are co…

cs.RO2026

Integrated Longitudinal and Lateral Control for High-Speed Platooning of Articulated Vehicles

Aashish Shaju, Steve Southward, Mehdi Ahmadian

This paper presents an integrated control framework for high-speed platooning of articulated vehicles, combining advanced longitudinal and lateral control strategies to address the…

cs.LG2026

Machine-Learning-Based Diagnostic Framework for Passive Ultrasonic Detection of Railway Wheel Defects

Aashish Shaju, Steve Southward, Mehdi Ahmadian

Reliable identification of railway wheel defects is important for safety and maintenance. This study develops a machine-learning-based diagnostic framework for multi-class defect i…

cs.RO2026

Scalable High-Speed Lateral Control for Single-Body and Articulated Autonomous Vehicles

Aashish Shaju, Steve Southward, Mehdi Ahmadian

This paper presents a scalable lateral control framework for robust path tracking of single-body and articulated autonomous vehicles at high speeds. A clothoid-based controller is…

cs.RO2026★ 2 cited

Enhancing Autonomous Vehicle Navigation with a Clothoid-Based Lateral Controller

Aashish Shaju, Steve Southward, Mehdi Ahmadian

This study introduces an advanced lateral control strategy for autonomous vehicles using a clothoid-based approach integrated with an adaptive lookahead mechanism. The primary focu…