'Pedestrian in the Loop': An Approach Using Augmented Reality
Autor: | Michael Stolz, Michael Spitzer, Daniel Watzenig, Wim Desmet, Marco Viehweger, Michael Hartmann |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Computer science
05 social sciences Collision avoidance ITEAM Autonomous vehicles 02 engineering and technology Pedestrian Augmented reality 050105 experimental psychology Loop (topology) Advanced driver assistance systems Control theory Vehicle testing 0202 electrical engineering electronic engineering information engineering FM_affiliated 020201 artificial intelligence & image processing 0501 psychology and cognitive sciences Testing with pedestrians |
Zdroj: | SAE Technical Paper Series |
ISSN: | 0148-7191 |
Popis: | 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 online |
Databáze: | OpenAIRE |
Externí odkaz: |