Resource-efficient Deep Neural Networks for Automotive Radar
Interference Mitigation

Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation

25 January 2022

Papers citing "Resource-efficient Deep Neural Networks for Automotive Radar Interference Mitigation"

9 / 9 papers shown

Title
RIMformer: An End-to-End Transformer for FMCW Radar Interference Mitigation Ziang Zhang Guangzhi Chen Youlong Weng Shunchuan Yang Zhiyu Jia Jingxuan Chen 19 1 0 16 Jul 2024
Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar Christian Oswald Máté Tóth Paul Meissner Franz Pernkopf AAML 20 2 0 18 Dec 2023
End-to-End Training of Neural Networks for Automotive Radar Interference Mitigation Christian Oswald Máté Tóth Paul Meissner Franz Pernkopf AAML 13 3 0 15 Dec 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review Shanliang Yao Runwei Guan Xiaoyu Huang Zhuoxiao Li Xiangyu Sha ... Eng Gee Lim H. Seo Ka Lok Man Xiaohui Zhu Yutao Yue 38 91 0 20 Apr 2023
Mutual Interference Mitigation for MIMO-FMCW Automotive Radar S. Jin P. Wang P. Boufounos P. Orlik R. Takahashi Sumit Roy 17 0 0 06 Apr 2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick 27 6 0 09 Jan 2023
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges T. Oyedare Vijay K. Shah D. Jakubisin Jeffrey H. Reed 19 34 0 16 Dec 2021
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation Alexander Fuchs J. Rock Máté Tóth Paul Meissner Franz Pernkopf 8 33 0 29 Apr 2021
Estimating the Magnitude and Phase of Automotive Radar Signals under Multiple Interference Sources with Fully Convolutional Networks Nicolae-Cuatualin Ristea Andrei Anghel Radu Tudor Ionescu 4 15 0 11 Aug 2020