People park their vehicle depending on interior and exterior contexts. They do it naturally, even unconsciously. For instance, with a baby seat on the rear, the driver might leave more space on one side to be able to get the baby out easily; or when grocery shopping, s/he may position the vehicle to remain the trunk accessible. Autonomous vehicles are becoming technically effective at driving from A to B and parking in a proper spot, with a default way. However, in order to satisfy users' expectations and to become trustworthy, they will also need to park or make a temporary stop, appropriate to the given situation. In addition, users want to understand better the capabilities of their driving assistance features, such as automated parking systems. A voice-based interface can help with this and even ease the adoption of these features. Therefore, we developed a voice-based in-car assistant (Park4U Mate), that is aware of interior and exterior contexts (thanks to a variety of sensors), and that is able to park autonomously in a smart way (with a constraints minimization strategy). The solution was demonstrated to thirty-five users in test-drives and their feedback was collected on the system's decision-making capability as well as on the human-machine-interaction. The results show that: (1) the proposed optimization algorithm is efficient at deciding the best parking strategy; hence, autonomous vehicles can adopt it; (2) a voice-based digital assistant for autonomous parking is perceived as a clear and effective interaction method. However, the interaction speed remained the most important criterion for users. In addition, they clearly wish not to be limited on only voice-interaction, to use the automated parking function and rather appreciate a multi-modal interaction.
翻译:人们根据内部和外部环境自行泊车。 他们自然地, 甚至无意识地把车停在车内。 例如, 在车后方有一个婴儿座位时, 司机可能会在一边留下更多空间, 以便让婴儿容易出车; 或者当杂货购物时, 他/ 他可能会让车辆保持后备车的无障碍性; 自动车辆在技术上能够有效地从A到B驾驶, 并在适当的地点停车, 并且默认的方式。 但是, 为了满足用户的期望, 并且能够令人信服, 他们也需要停车或临时停车, 以适合特定情况。 此外, 用户希望更好地了解其驾驶协助功能的能力, 如自动停车系统等。 基于声音的接口可以帮助, 甚至方便这些功能的采用。 因此,我们开发了一名基于汽车的车内助理(Park4UMate), 知道内外部环境(需要多种传感器), 并且只能以智能的方式泊车内, 他们需要保持声音的停车位, 并且要保持一种适应特定情况。 此外, 解决方案被展示给三十五个用户 测试驱动器的车内功能, 例如 自动驾驶式的车间互动, 他们的反馈可以帮助这些功能。 因此, 智能反应能力是 智能分析 工具的计算方法, 工具的计算能力是 。 正确的计算方法, 正确的计算能力是 。 正确的计算方法, 正确的计算 。 。 。 正确的计算能力是 正确的计算方法, 。 。 。 。 。 。 。 正确的计算方法, 。 正确的计算方法, 正确的计算方法, 正确的计算能力是 。