Saliency Heat-Map as Visual Attention for Autonomous Driving Using Generative Adversarial Network (GAN)

The ability to sense and understanding the driving environment is a key technology for ADAS and autonomous driving. Human drivers have to pay more visual attention to important or target elements and ignore unnecessary ones present in their field of sight. A model that computes this visual attention...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2022-06, Vol.23 (6), p.5360-5373
Hauptverfasser:	Lateef, Fahad, Kas, Mohamed, Ruichek, Yassine
Format:	Artikel
Sprache:	eng
Schlagworte:	autonomous driving Autonomous vehicles Collision avoidance Computational modeling Driving generative adversarial network Generative adversarial networks Predictive models Salience Saliency detection scene understanding Traffic signs Vehicles Visual saliency Visualization
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