Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents

WS 2020 Eda Okurshachi H KumarSaurav SahayLama Nachman

Building multimodal dialogue understanding capabilities situated in the in-cabin context is crucial to enhance passenger comfort in autonomous vehicle (AV) interaction systems. To this end, understanding passenger intents from spoken interactions and vehicle vision systems is an important building block for developing contextual and visually grounded conversational agents for AV... (read more)

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