Task-driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System-Reference-Cited by-同舟云学术

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Task-driven RGB-Lidar Fusion for Object Tracking in Resource-Efficient Autonomous System

Published:2021 Issue: Volume: Page:1-1
ISSN:2379-8904
Container-title:IEEE Transactions on Intelligent Vehicles
language:
Short-container-title:IEEE Trans. Intell. Veh.

Author:

Samal Kruttidipta,Kumawat Hemant,Saha Priyabrata,Wolf Marilyn,Mukhopadhyay Saibal

Funder

Defense Advanced Research Projects Agency

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/7274857/7448921/09448387.pdf?arnumber=9448387

Cited by 33 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

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3. A New Multimodal Map Building Method Using Multiple Object Tracking and Gaussian Process Regression;Remote Sensing;2024-07-18

4. ChirpNet: Noise-Resilient Sequential Chirp Based Radar Processing for Object Detection;2024 IEEE/MTT-S International Microwave Symposium - IMS 2024;2024-06-16

5. Accurate 6-DoF Motion Estimation for Irregular Moving Objects with Point Correlations;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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