ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous Vehicles-Reference-Cited by-同舟云学术

ClusterFusion: Leveraging Radar Spatial Features for Radar-Camera 3D Object Detection in Autonomous Vehicles

Published:2023 Issue: Volume:11 Page:121511-121528
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kurniawan Irfan Tito¹^ORCID,Trilaksono Bambang Riyanto¹^ORCID

Affiliation:

1. School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia

Funder

Indonesian Ministry of Finance under Pendanaan Riset Inovatif Produktif, Lembaga Pengelola Dana Pendidikan (RISPRO LPDP) Research Funding

Institut Teknologi Bandung under Penelitian Pengabdian Masyarakat dan Inovasi (P2MI) Research Program

Indonesian Ministry of Education, Culture, Research and Technology under the World Class University (WCU) Program managed by Institut Teknologi Bandung and under the World Class Research (WCR) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10302296.pdf?arnumber=10302296

Reference88 articles.

1. Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor

2. 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-view Spatial Feature Fusion for 3D Object Detection

3. A Feature Pyramid Fusion Detection Algorithm Based on Radar and Camera Sensor

4. PointPainting: Sequential Fusion for 3D Object Detection

5. CenterTransFuser: radar point cloud and visual information fusion for 3D object detection

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