Robust Object Estimation using Generative-Discriminative Inference for Secure Robotics Applications

Convolutional neural networks (CNNs) are of increasing widespread use in robotics, especially for object recognition. However, such CNNs still lack several critical properties necessary for robots to properly perceive and function autonomously in uncertain, and potentially adversarial, environments....

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Veröffentlicht in:	2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) S. 1 - 8
Hauptverfasser:	Liu, Yanqi, Costantini, Alessandro, Bahar, R. Iris, Sui, Zhiqiang, Ye, Zhefan, Lu, Shiyang, Jenkins, Odest Chadwicke
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.11.2018
Schlagworte:	Clutter DNN adversarial attack Estimation Neural networks Object detection Pipelines Robot perception Robots Robust machine learning Training
ISSN:	1558-2434
Online-Zugang:	Volltext
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