Searched for: subject%253A%2522perception%2522
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Gao, Yixuan (author), Song, Duanshu (author), Liu, Li (author), Huang, Y. (author)
Affordances serve as design cues, facilitating users in effortlessly identifying the intended use of objects. However, due to the phenomenological nature of the affordance concept, its application and understanding in the human-computer interaction (HCI) domain remain uncertain, resulting in limited utilization in design practice. This study...
journal article 2023
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Liu, C. (author), Xu, Y. (author), van Kampen, E. (author), de Croon, G.C.H.E. (author)
In this paper, we propose an obstacle avoidance solution for a 34-gram quadcopter equipped with a monocular camera. The perception of obstacles is tackled by a lightweight convolutional neural network predicting a dense depth map from a captured grey-scale image. The depth network performs self-supervised learning and thus requires no ground...
journal article 2023