Estimation of road surface type from brake pressure pulses of ABS

作者：

Highlights：

• Brake pressure pulses and wheel acceleration is considered to identify road surface type.

• SVM, MLP, SGD, GNB, and Extremely Randomized Trees techniques are realized.

• Extremely Randomized Trees outperforms others for all experiments.

摘要

•Brake pressure pulses and wheel acceleration is considered to identify road surface type.•SVM, MLP, SGD, GNB, and Extremely Randomized Trees techniques are realized.•Extremely Randomized Trees outperforms others for all experiments.

论文关键词：Brake pressure,Wheel speed sensor,Road surface type classification,SVM,MLP,SGD,GNB,Extremely Randomized Trees,Road condition

论文评审过程：Received 29 January 2022, Revised 28 August 2022, Accepted 28 August 2022, Available online 6 September 2022, Version of Record 15 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118726