Time- and Resource-Efficient Time-to-Collision Forecasting for Indoor Pedestrian Obstacles Avoidance

As difficult vision-based tasks like object detection and monocular depth estimation are making their way in real-time applications and as more light weighted solutions for autonomous vehicles navigation systems are emerging, obstacle detection and collision prediction are two very challenging tasks...

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Библиографические подробности

Главные авторы:	David Urban, Alice Caplier
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-03-01
Серии:	Journal of Imaging
Предметы:	deep learning collision detection Time-to-Collision prediction real-time object detection monocular depth estimation
Online-ссылка:	https://www.mdpi.com/2313-433X/7/4/61
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