Abstract

ITSC 2011 : International IEEE Conference on Intelligent Transportation Systems, WASHINGTON, ETATS-UNIS, 05-/10/2011 - 07/10/2011; This paper presents the implementation of a highly automated driving system on automotive Electronic Control Units (ECUs). It integrates a perception component, which uses the combination of high-level sensors to map the environment, a co-pilot, which finds an optimal trajectory in this environment and a control component, which guides the vehicle on this trajectory. The cooperation between human and automation is managed by the driving Mode Selection and arbitration Unit (MSU) and Human-Machine Interface (HMI) components. The co-pilot and control components have been implemented on AUTOSAR-based ECUs, the other components in the RTMaps environment on a standard PC. It has been first been tested on the simulation tool SiVIC and was then transferred to a physical vehicle on test track.

Abstract

To enhance the efficiency and safety of today's road transport, the application of driver support systems and fully automated, intelligent transport systems becomes increasingly important. The safety and reliability requirements of these systems and their complexity are high, which results in a costly, time consuming development and testing process. This paper presents an intelligent vehicle hardware in the loop simulator for faster and more efficient development and testing of full-scale intelligent vehicle and transport systems. Its technical feasibility and added value are illustrated by applying the concept to a passenger car platooning experiment.