3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions

3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions

The role of sensors such as cameras or LiDAR (Light Detection and Ranging) is crucial for the environmental awareness of self-driving cars. However, the data collected from these sensors are subject to distortions in extreme weather conditions such as fog, rain, and snow. This issue could lead to ma...

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Bibliographic Details
Main Authors: Nguyen Anh Minh Mai, Pierre Duthon, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastin
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Sensors
Subjects:
adverse weather conditions
foggy perception
synthetic datasets
3D object detection
autonomous vehicles
Online Access:https://www.mdpi.com/1424-8220/21/20/6711

Internet

https://www.mdpi.com/1424-8220/21/20/6711

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