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Hongshan Liu

2 accepted papers

2025

Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning

ICASSP 2025accepted

Millimeter-wave (mmWave) radars are critical for autonomous vehicles’ perception tasks, offering reliable performance in adverse weather conditions. However, their application is often hindered by insufficient spatial resolution for detailed semantic scene interpretation. Traditional super-resolutio…

Cited by 0SourceScholar
2025

Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays

ICASSP 2025accepted

Single-snapshot signal processing in sparse linear arrays has become increasingly vital, particularly in dynamic environments like automotive radar systems, where only limited snapshots are available. These arrays are often utilized either to cut manufacturing costs or result from unintended antenna…

Cited by 0SourceScholar