ITSC 2025 Paper Abstract

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Paper WE-EA-T11.4

Hosseinnajad, Alireza (Deakin University), Mohajer, Navid (Deakin University), Pappu, Mohammad Rokonuzzaman (Deakin University)

Barrier Lyapunov Function-Based Geometric Lateral Controller for Autonomous Vehicles

Scheduled for presentation during the Regular Session "S11b-Motion Planning, Trajectory Optimization, and Control for Autonomous Vehicles" (WE-EA-T11), Wednesday, November 19, 2025, 14:30−14:50, Broadbeach 1&2

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on October 19, 2025

Keywords Real-time Motion Planning and Control for Autonomous Vehicles in ITS Networks, Autonomous Vehicle Safety and Performance Testing, Energy-efficient Motion Control for Autonomous Vehicles

Abstract

Robust control of autonomous vehicle (AV) requires accurate vehicle dynamics modelling and boundedness of lateral error. This work introduces a geometric barrier Lyapunov function-based nonlinear lateral controller to guarantee boundedness of lateral error irrespective of vehicle dynamics. Extensive stability analyses are carried out to ensure exponential and finite-time convergence of lateral error. The proposed controller is based on a novel combination of Pure Pursuit and Stanley controllers and offers advantages in terms of (1) applicability to a wide range of driving speeds and scenarios, (2) maintaining stability and accuracy in emergency manoeuvres, and (3) eliminating the well-known corner cutting issue of preview-based controllers. Comparative simulations demonstrate the superior performance of the proposed controller compared to the existing controller designs.

 

 

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