Machine Learning Based Early Debris Detection Using Automotive Low Level Radar Data
Author:
Affiliation:
1. Aptiv Advance Research Center,Agoura Hills,California,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096506.pdf?arnumber=10096506
Reference20 articles.
1. Object Tracking and Classification Using Millimeter-Wave Radar Based on LSTM
2. Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
3. Deep Learning-based Object Classification on Automotive Radar Spectra
4. Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors
5. RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization
Cited by 2 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. Cross-modality interaction for few-shot multispectral object detection with semantic knowledge;Neural Networks;2024-02
2. Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
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