High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K

High-Profile VRU Detection on Resource-Constrained Hardware Using YOLOv3/v4 on BDD100K

Vulnerable Road User (VRU) detection is a major application of object detection with the aim of helping reduce accidents in advanced driver-assistance systems and enabling the development of autonomous vehicles. Due to intrinsic complexity present in computer vision and to limitations in processing...

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Bibliographic Details
Main Authors: Vicent Ortiz Castelló, Ismael Salvador Igual, Omar del Tejo Catalá, and Juan-Carlos Perez-Cortes
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Journal of Imaging
Subjects:
on-road detection
artificial intelligence
machine learning
convolutional neural networks
resource-constrained hardware
one-stage detectors
Online Access:https://www.mdpi.com/2313-433X/6/12/142

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https://www.mdpi.com/2313-433X/6/12/142

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