MmWave Radar and Vision Fusion for Object Detection in Autonomous Driving: A Review
With autonomous driving developing in a booming stage, accurate object detection in complex scenarios attract wide attention to ensure the safety of autonomous driving. Millimeter wave (mmWave) radar and vision fusion is a mainstream solution for accurate obstacle detection. This article presents a...
Asıl Yazarlar: | Zhiqing Wei, Fengkai Zhang, Shuo Chang, Yangyang Liu, Huici Wu, Zhiyong Feng |
---|---|
Materyal Türü: | Makale |
Dil: | English |
Baskı/Yayın Bilgisi: |
MDPI AG
2022-03-01
|
Seri Bilgileri: | Sensors |
Konular: | |
Online Erişim: | https://www.mdpi.com/1424-8220/22/7/2542 |
Benzer Materyaller
-
ConCs-Fusion: A Context Clustering-Based Radar and Camera Fusion for Three-Dimensional Object Detection
Yazar:: Wei He, ve diğerleri
Baskı/Yayın Bilgisi: (2023-10-01) -
Tramway obstacles detection based on information fusion of MMV radar and machine vision
Yazar:: Guang-yao ZHAI, ve diğerleri
Baskı/Yayın Bilgisi: (2017-09-01) -
Tramway obstacles detection based on information fusion of MMV radar and machine vision
Yazar:: Guang-yao ZHAI, ve diğerleri
Baskı/Yayın Bilgisi: (2017-09-01) -
Deep Camera–Radar Fusion with an Attention Framework for Autonomous Vehicle Vision in Foggy Weather Conditions
Yazar:: Isaac Ogunrinde, ve diğerleri
Baskı/Yayın Bilgisi: (2023-07-01) -
Point Cloud Painting for 3D Object Detection with Camera and Automotive 3+1D RADAR Fusion
Yazar:: Santiago Montiel-Marín, ve diğerleri
Baskı/Yayın Bilgisi: (2024-02-01)