Pedestrian recognition using micro Doppler effects of radar signals based on machine learning and multi-objective optimization
作者：
Highlights：
• A radar sensor was used to detect pedestrians in near to crash accident situations.
• Micro Doppler effects were better extracted by multi-objective optimization.
• Datasets considering traffic accidents situations were captured by the radar.
• Classifications involving four Support Vector Machine models where performed.
• The proposed approach showed high accuracy in detecting pedestrians.
摘要
•A radar sensor was used to detect pedestrians in near to crash accident situations.•Micro Doppler effects were better extracted by multi-objective optimization.•Datasets considering traffic accidents situations were captured by the radar.•Classifications involving four Support Vector Machine models where performed.•The proposed approach showed high accuracy in detecting pedestrians.
论文关键词：Autonomous car,Radar,Pedestrian recognition,Micro Doppler,Multi-objective optimization,Support Vector Machine
论文评审过程：Received 23 January 2019, Revised 25 April 2019, Accepted 22 June 2019, Available online 23 June 2019, Version of Record 29 June 2019.
论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.048
