Cepstrum-Based Road Surface Recognition Using Long-Range Automotive Radar
During driving, a sudden change in the road surface results in imbalance of vehicle due to wheel slip which leads to accidents. Thus, a need arises for an automotive system to recognize the type of road surface ahead and alert the driver to accordingly change the speed of the vehicle. This paper proposes a technique for road surface recognition using 77 GHz frequency-modulating continuous wave (FMCW) long-range automotive radar. The cepstral coefficients calculated from the backscattered signal are analyzed, using classifiers like decision tree and SVM. This technique recognizes five different road surfaces, i.e., dry concrete, dry asphalt, slush, sand, and bushes. To validate the accuracy and classification rate, field testing is conducted at Kondapur (Telangana) and the system has achieved prediction percentage of above 90%.
KeywordsAutomotive systems Radar backscattering Signal processing Cepstral coefficients Machine learning Road surface detection
I sincerely thank INEDA SYSTEMS Pvt. Ltd (www.inedasystems.com) and express my gratitude to the officials for their guidance and encouragement in carrying out this project.
- 5.Andersson M, Bruzelius F, Casselgren J, Gafvert M, Hjort M, Hultén J, Habring F, Klomp M, Olsson G, Sjodahl M, Svendenius J, Woxneryd S, Walivaara B (2007) Road friction estimation. IVSS project report. Saab Automobile AB, Trollhattan, SwedenGoogle Scholar
- 6.Bystrov A, Abbas M, Hoare E, Tran T-Y, Clarke N, Gashinova M, Cherniakov M (2014) Remote road surface identification using radar and ultrasonic sensors. In: Proceedings IEEE European radar conference, pp 185–188Google Scholar
- 7.Hakli J, Saily J, Koivisto P, Huhtinen I, Dufva T, Rautiainen A, Toivanen H, Nummila K (2013) Road surface condition detection using 24 GHz automotive radar technology, radar symposium (IRS). In: Proceedings IEEE applied electronics conference, vol 2, no 19–21, pp 702–707Google Scholar
- 9.Raj A, Krishna D, Hari Priya R, Kumar S, Niranjani Devi S (2012) Vision based road surface detection for automotive systems. In: Proceedings IEEE applied electronics conference, pp 223–228Google Scholar
- 10.Kees R, Detlefsen J (1994) Road surface classification by using a polarimetric coherent radar module at millimetre waves. In: Proceedings. IEEE national telesystems conference, pp 95–98Google Scholar
- 11.Kim HS (2001) Road surface sensing device. Korean patent KR 2001:047234Google Scholar