Conference paper Open Access

A simulation-based testing and validation framework for ADAS development

Tong Duy Son; Jacob Hubrechts; Lisa Awatsu; Ajinkya Bhave; Herman Van der Auweraer

This paper presents a virtual validation and testing framework for ADAS (Advanced Driver Assistant System) planning and control development based on a co-simulation platform of vehicle dynamics and traffic environment tools. One of the main challenges in ADAS development is validating the planning and control algorithms in a closed-loop fashion, where both vehicle dynamics characteristics and a wide variety of traffic scenarios are taken into account. The designs should also guarantee optimal performance toward precise trajectory tracking, and time/fuel optimality with respect to various constraints. This work focuses on simulation-based approaches to frontload control design verification during the early phases of ADAS development involving two software: LMS Imagine.Lab Amesim and PreScan. The requirements for an interface that help to facilitate the co-simulation development are studied. The approach is demonstrated with three different use cases: adaptive cruise control, green wave technology, and autonomous parking.

Files (859.0 kB)
Name Size
859.0 kB Download
All versions This version
Views 2020
Downloads 938938
Data volume 805.7 MB805.7 MB
Unique views 2020
Unique downloads 914914


Cite as