Combined Lateral and Longitudinal Control with Variable Reference Path for Automated Driving
Paper in proceeding, 2020

This paper presents combined lateral and longitudinal trajectory control with variable reference path for autonomous vehicle. A longitudinal velocity controller is designed to determine whether the current velocity is appropriate for the real-time or planned path. A steering control algorithm has been constructed using Ackermann steering geometry based path tracking controller known as pure pursuit method. The pure pursuit algorithm calculates the steering angle using the characteristics of the Ackerman steering geometry of the vehicle. This algorithm is not suitable at high speed but robust against disturbance and is a good method to apply in normal autonomous driving situations. The risk of the current speed is analyzed through the predicted lateral acceleration. However, the predicted lateral acceleration will vary depending on the vehicle. Therefore, the accuracy of the predicted lateral acceleration is improved using an adaptive neural network algorithm. The proposed algorithm has been verified by computer simulation with two consecutive curvature roads in city driving. The verification results were quite satisfactory.

Autonomous driving

Adaptive Control

Path Tracking


Dongpil Lee

Seoul National University

Kyongsu Yi

Seoul National University

Matthijs Klomp

Volvo Cars

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Advances in Dynamics of Vehicles on Roads and Tracks

2195-4356 (ISSN) 2195-4364 (eISSN)

978-3-030-38077-9 (ISBN)

26th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2019)
Gothenburg, ,

Areas of Advance


Subject Categories

Vehicle Engineering


Control Engineering



Related datasets

DOI: 10.1007/978-3-030-38077-9_130 URI:

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