TransCAR: Transformer-Based Camera-and-Radar Fusion for 3D Object Detection-Reference-Cited by-同舟云学术

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TransCAR: Transformer-Based Camera-and-Radar Fusion for 3D Object Detection

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Pang Su¹,Morris Daniel¹,Radha Hayder¹

Affiliation:

1. College of Engineering, Michigan State University,Department of Electrical and Computer Engineering,East Lansing,Michigan,United States,48824

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341793.pdf?arnumber=10341793

Reference47 articles.

1. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection

2. SECOND: Sparsely Embedded Convolutional Detection

3. PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud

4. PointPillars: Fast Encoders for Object Detection From Point Clouds

5. Frustum PointNets for 3D Object Detection from RGB-D Data

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complementing Onboard Sensors with Satellite Maps: A New Perspective for HD Map Construction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. RC-BEVFusion: A Plug-In Module for Radar-Camera Bird’s Eye View Feature Fusion;Lecture Notes in Computer Science;2024

3. Camera–Radar Fusion with Modality Interaction and Radar Gaussian Expansion for 3D Object Detection;Cyborg and Bionic Systems;2024-01

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