F-ROADNET: Late Fusion-Based Automotive Radar Object Detection-Reference-Cited by-同舟云学术

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F-ROADNET: Late Fusion-Based Automotive Radar Object Detection

Published:2023 Issue: Volume:11 Page:142893-142902
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sikander Gulbadan¹^ORCID,Anwar Shahzad¹^ORCID,Husnain Ghassan²^ORCID,Lim Sangsoon³^ORCID

Affiliation:

1. Department of Mechatronics Engineering, University of Engineering and Technology, Peshawar, Peshawar, Pakistan

2. Department of Computer Science, CECOS University of IT and Emerging Sciences, Peshawar, Pakistan

3. Department of Computer Engineering, Sungkyul University, Anyang, South Korea

Funder

National Research Foundation of Korea (NRF) Grant funded by the Korea Government [Ministry of Science and ICT (MSIT)]

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/ielx7/6287639/10005208/10360841.pdf?arnumber=10360841

Reference49 articles.

1. A Novel Machine Vision-Based 3D Facial Action Unit Identification for Fatigue Detection

2. A Radar-Nearest-Neighbor based data-driven approach for crowd simulation

3. Joint 3D Proposal Generation and Object Detection from View Aggregation

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

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