Acoustic feature analysis for wet and dry road surface classification using two-stream CNN

• Main Authors: Bahrami, Siavash, Doraisamy, Shyamala, Azman, Azreen, Nasharuddin, Nurul Amelina, Shigang, Yue
• Format: Conference or Workshop Item
• Language: English
• Published: Association for Computing Machinery 2020
• Online Access: http://psasir.upm.edu.my/id/eprint/85375/1/Acoustic%20Feature%20Analysis%20for%20Wet%20and%20Dry%20Road%20Surface.pdf; http://psasir.upm.edu.my/id/eprint/85375/; https://dl.acm.org/doi/10.1145/3445815.3445847
• Institution: Universiti Putra Malaysia

Road surface wetness affects road safety and is one of the main reasons for weather-related accidents. Study on road surface classification is not only vital for future driverless vehicles but also important to the development of current vehicle active safety systems. In recent years, studies on roa...