Pedestrian detection based on YOLOv3 multimodal data fusion

Pedestrian detection based on YOLOv3 multimodal data fusion

Multi-sensor fusion has essential applications in the field of target detection. Considering the current actual demand for miniaturization of on-board computers for driverless vehicles, this paper uses the multimodal data YOLOv3 (MDY) algorithm for pedestrian detection on embedded devices. The MDY a...

Full description

Bibliographic Details
Main Authors: Cheng Wang, Yuan-sheng Liu, Fei-xiang Chang, Ming Lu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Systems Science & Control Engineering
Subjects:
Pedestrian detection
Improved YOLOv3
Data fusion
Embedded devices
Online Access:https://www.tandfonline.com/doi/10.1080/21642583.2022.2129507

Similar Items

Similar Items