112 citations · 399 across the 29 of their papers we have counts for
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eess.SP2020★ 1 cited
Designing the Waveform Bandwidth and Time Duration of Automotive Radars for Better Collision Warning Performance
Hang Ruan, Yimin Liu, Tianyao Huang +1
Automotive radar is a key component in an ADAS. The increasing number of radars implemented in vehicles makes interference between them a noteworthy issue. One method of interferen…
eess.SP2020★ 55 cited
Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning
Pengfei Liu, Yimin Liu, Tianyao Huang +2
Nowadays, mutual interference among automotive radars has become a problem of wide concern. In this paper, a decentralized spectrum allocation approach is presented to avoid mutual…