我看见你了:自动驾驶汽车上机器人眼睛的眼睛控制机制

Praveen Singh, Chia-Ming Chang, T. Igarashi
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引用次数: 1

摘要

眼睛的概念已经被提议用作自动驾驶汽车(AV)的通信方式,它已经显示出自动驾驶汽车与行人交互的好处。在这项研究中,我们进一步探索了眼睛的概念,旨在回答一个研究问题:“我们如何根据自动驾驶汽车的行为更直观地控制眼睛?”首先,我们定义了三种不同的自动驾驶模式(正常、活跃和不活跃),并基于这三种模式开发了三种算法来控制汽车上的机器人眼睛。这三种模式使我们能够更好地控制各种参数和约束,这有助于我们在不同的场景下使眼睛的机制更自然。我们进行了一个试点研究,用一个简单的眼睛原型来测试我们的算法。研究结果是积极的,但本课题也存在一定的挑战。我们讨论了这些挑战,这为未来自动驾驶汽车与行人互动的发展提供了有用的见解。
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I See You: Eye Control Mechanisms for Robotic Eyes on an Autonomous Car
The concept of eyes has been proposed to use as a communication modality on an autonomous vehicle (AV) and it has shown benefits for AV-to-pedestrian interaction. In this study, we further explored the eye concept and aim to answer a research question “how can we control the eyes more intuitively based on an AV's behaviors?”. First, we defined three different self-driving modes (normal, active and inactive) and we developed three algorithms to control robotic eyes on a car based on the three modes. These three modes give us more control over various parameters and constraints, which help us in making the eye mechanism, more natural at different scenarios. We conducted a pilot study to tested our algorithms with a simple eye prototype. The result was positive, there are certain challenges in this research topic. We discussed the challenges and this has shown useful insights for future development of AV-to-pedestrian interaction.
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