Towards in-vehicle situation awareness using visual and audio sensors

该项目旨在通过内置传感器的视觉和音频提示来描述驾驶员的意识、活动以及与其他车辆乘客的互动。据估计，道路交通事故每年给澳大利亚造成300亿美元的损失，造成数千人死亡，但绝大多数严重的交通事故都与驾驶员疲劳或注意力分散有关。预计项目成果包括先进的人工智能，以推断和预测危险的司机和乘客的行为。这有可能通过提高自动驾驶能力，减少驾驶员引发的事故和死亡，确保每个驾驶员、乘客和行人在每天结束时安全到家，从而显著造福社会。

This project aims to characterise driver awareness, activity and interactions with other vehicle occupants using visual and audio cues from internally mounted sensors. Road accidents cost Australia an estimated $30 billion per year and tragic loss of thousands of lives, yet the vast majority of severe vehicle crashes are linked to driver fatigue or distraction. The expected project outcomes include advanced artificial intelligence to infer and predict dangerous driver and passenger behaviour. This has the potential to significantly benefit society by advancing autonomous driving capabilities and reducing driver-induced accidents and fatalities, ensuring that every driver, passenger and pedestrian arrives home safely at the end of each day.