论文标题
从路线说明到地标图
From Route Instructions to Landmark Graphs
论文作者
论文摘要
地标对于人们导航的方式至关重要，但是大多数导航技术并未将其纳入其表示形式。我们提出了具有里程碑意义的图形生成任务（从自然语言中创建基于里程碑的空间表示），并引入了一种完全端到端的神经方法来生成这些图形。我们在帆路线说明数据集以及我们收集的一小片现实传递指令上评估了我们的模型，我们表明我们的方法在我们的任务和相关的机器人导航任务上都产生了高质量的结果。
Landmarks are central to how people navigate, but most navigation technologies do not incorporate them into their representations. We propose the landmark graph generation task (creating landmark-based spatial representations from natural language) and introduce a fully end-to-end neural approach to generate these graphs. We evaluate our models on the SAIL route instruction dataset, as well as on a small set of real-world delivery instructions that we collected, and we show that our approach yields high quality results on both our task and the related robotic navigation task.
