Machine Learning-Based Radar Perception for Autonomous Vehicles Using Full Physics Simulation-Reference-Cited by-同舟云学术

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Machine Learning-Based Radar Perception for Autonomous Vehicles Using Full Physics Simulation

Published:2020 Issue: Volume:8 Page:51470-51476
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sligar Arien P.^ORCID

Funder

ANSYS Inc.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09035657.pdf?arnumber=9035657

Cited by 46 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. Interpretation of georadar data based on machine learning technologies;EUREKA: Physics and Engineering;2024-07-19

2. Advancements, challenges, and implications for navigating the autonomous vehicle revolution;J MECH ENG SCI;2024

3. Vehicle Detection Algorithms for Autonomous Driving: A Review;Sensors;2024-05-13

4. Extracting Pole Characteristics of Complex Radar Targets for the Aircraft in Resonance Region Using RMSPSO_ARMA;International Journal of Antennas and Propagation;2024-05-06

5. A Guidance Strategy for Parking Space of Autonomous Valet Parking with Cooperative Vehicle Infrastructure System;SAE Technical Paper Series;2024-04-09

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