Road Terrain Classification Technology for Autonomous Vehicle
Springer Verlag, Singapore
978-981-13-6157-9 (ISBN)
Shifeng Wang has double doctoral degrees. He received Eng. D. from Changchun University of science and technology in 2008, later on he received Ph.D. from University of Technology Sydney in 2013. He is an associate Professor at Key Laboratory of Optoelectronic Measurement and Optical Information Transmission Technology of Ministry of Education, National Demonstration Center for Experimental Optoelectronic Engineering Education, School of Optoelectronic Engineering, Changchun University of Science and Technology. He majored in Robot Science and Artificial Intelligence. He undertook many major research projects in China and Austrlia. From 2010-2013, he is in charge of the "An Instrumented Vehicle for Research on Safe Driving Project" and the "Human-Machine Interaction for Driving Assistant System Project", both financial aided by the Australia government. He has been granted 6 invention patents and applied another 8 ones related to the autonomous vehicle and published more than 20 technical papers. This book is finically supported by the project of Natural Science Foundation of Jilin Province (20150101047JC), China.
Introduction.- Review of Related Work.- Acceleration Based Road Terrain Classification.- Image Based Road Terrain Classification.- LRF Based Road Terrain Classification.- Multiple-Sensor Based Road Terrain Classification.- Conclusion and Future Direction.
Erscheinungsdatum | 07.07.2020 |
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Reihe/Serie | Unmanned System Technologies |
Zusatzinfo | 32 Illustrations, color; 11 Illustrations, black and white; XVI, 97 p. 43 illus., 32 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Bauwesen | |
Technik ► Fahrzeugbau / Schiffbau | |
Technik ► Maschinenbau | |
Schlagworte | Fast Fourier transform • Grey-Level Co-occurrence Matrix • Laser Range Finder • markov random field • Mutiple Sensor • Power Spectral Density • Principal Component Analysis • Support Vector Machine |
ISBN-10 | 981-13-6157-6 / 9811361576 |
ISBN-13 | 978-981-13-6157-9 / 9789811361579 |
Zustand | Neuware |
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