论文标题
自动驾驶汽车的道德轨迹计划算法
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
论文作者
论文摘要
随着人工智能和自动化的兴起，道德决定被放在以前是人类保护的算法的手中。在自主驾驶中，算法对行为和轨迹计划做出了各种具有道德意义的决定。因此，我们提出了一种道德轨迹规划算法，其框架旨在旨在公路使用者之间的风险分布。我们的实施结合了五个基本道德原则的组合：最小化总体风险，最坏情况的优先级，对人的平等待遇，责任和最大可接受的风险。据《欧盟委员会》专家小组的20个建议，对作者所知，这是对自动驾驶汽车进行轨迹规划的第一种道德算法，并且对各种交通情况有了一般的适用性。我们在选定的场景中展示了算法的道德行为，并对2000年情景中的道德原则提供了经验分析。本研究中使用的代码可用作开源软件。
With the rise of AI and automation, moral decisions are being put into the hands of algorithms that were formerly the preserve of humans. In autonomous driving, a variety of such decisions with ethical implications are made by algorithms for behavior and trajectory planning. Therefore, we present an ethical trajectory planning algorithm with a framework that aims at a fair distribution of risk among road users. Our implementation incorporates a combination of five essential ethical principles: minimization of the overall risk, priority for the worst-off, equal treatment of people, responsibility, and maximum acceptable risk. To the best of the authors' knowledge, this is the first ethical algorithm for trajectory planning of autonomous vehicles in line with the 20 recommendations from the EU Commission expert group and with general applicability to various traffic situations. We showcase the ethical behavior of our algorithm in selected scenarios and provide an empirical analysis of the ethical principles in 2000 scenarios. The code used in this research is available as open-source software.
