受人类启发的自动驾驶:一项调查

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Alice Plebe , Henrik Svensson , Sara Mahmoud , Mauro Da Lio
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引用次数: 1

摘要

自动驾驶汽车有望彻底改变社会,改善许多人的日常生活,使其成为众多研究团体梦寐以求的目标。为了在自动驾驶汽车中实现复杂的推理,研究人员正在探索超越传统工程方法的新方法,特别是从唯一能够驾驶的人那里汲取灵感的想法:人类。人类驾驶能力背后的心理过程可以激发新的方法,有可能弥合人工司机和人类司机之间的差距。在这篇综述中,我们对受认知科学、神经科学和心理学影响的现有自动驾驶研究进行了分类和评估。我们提出了各种灵感来源的分类,并确定了相对于传统方法的潜在优势。虽然这些受人类启发的方法尚未被广泛采用,但我们相信它们对全自动驾驶汽车的未来至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human-inspired autonomous driving: A survey

Autonomous vehicles promise to revolutionize society and improve the daily life of many, making them a coveted aim for a vast research community. To enable complex reasoning in autonomous vehicles, researchers are exploring new methods beyond traditional engineering approaches, in particular the idea of drawing inspiration from the only existing being able to drive: the human. The mental processes behind the human ability to drive can inspire new approaches with the potential to bridge the gap between artificial drivers and human drivers. In this review, we categorize and evaluate existing work on autonomous driving influenced by cognitive science, neuroscience, and psychology. We propose a taxonomy of the various sources of inspiration and identify the potential advantages with respect to traditional approaches. Although these human-inspired methods have not yet reached widespread adoption, we believe they are critical to the future of fully autonomous vehicles.

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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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