Abstract

large number of testing procedures have been developed to ensure vehicle safety in common and extreme driving situations. However, these conventional testing procedures are insufficient for testing autonomous vehicles. They have to handle unexpected scenarios with the same or less risk a human driver would take. Currently, safety related systems are not adequately tested, e.g. in collision avoidance scenarios with pedestrians. Examples are the change of pedestrian behaviour caused by interaction, environmental influences and personal aspects, which cannot be tested in real environments. It is proposed to use Virtual Reality techniques. This method can be seen as a new Pedestrian in the Loop testing procedure. ispartof: 2017 XXVI INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND AUTOMATION TECHNOLOGIES (ICAT) vol:2017-December ispartof: ICAT 2017 (International Conference on Information, Communication and Automation Technologies) location:Sarajevo, Bosnia & Herzegovina date:26 Oct - 28 Oct 2017 status: published Document type: Conference object

Abstract

© 2018 SAE International. All Rights Reserved. A large number of testing procedures have been developed to ensure vehicle safety in common and extreme driving situations. However, these conventional testing procedures are insufficient for testing autonomous vehicles. They have to handle unexpected scenarios with the same or less risk a human driver would take. Currently, safety related systems are not adequately tested, e.g. in collision avoidance scenarios with pedestrians. Examples are the change of pedestrian behaviour caused by interaction, environmental influences and personal aspects, which cannot be tested in real environments. It is proposed to use augmented reality techniques. This method can be seen as a new (Augmented) Pedestrian in the Loop testing procedure. ispartof: SAE Technical Papers vol:2018-April ispartof: WCX™: SAE World Congress Experience location:Detroit, Michigan, United States date:10 Apr - 14 Apr 2018 status: published Document type: Conference object