Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

Deep Learning for Real-Time 3D Multi-Object Detection, Localisation, and Tracking: Application to Smart Mobility

In core computer vision tasks, we have witnessed significant advances in object detection, localisation and tracking. However, there are currently no methods to detect, localize and track objects in road environments, and taking into account real-time constraints. In this paper, our objective is to...

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Bibliographic Details
Main Authors: Antoine Mauri, Redouane Khemmar, Benoit Decoux, Nicolas Ragot, Romain Rossi, Rim Trabelsi, Rémi Boutteau, Jean-Yves Ertaud, Xavier Savatier
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Sensors
Subjects:
object detection
tracking
distance estimation
localisation
deep learning
smart mobility
3d multi-object
Online Access:https://www.mdpi.com/1424-8220/20/2/532

Internet

https://www.mdpi.com/1424-8220/20/2/532

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