Titlebook: Road Terrain Classification Technology for Autonomous Vehicle; Shifeng Wang Book 2019 China Machine Press, Beijing and Springer Nature Sin

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愛花花兒憤怒

Summary,RF were employed and investigated, respectively. However, all of these sensors have their own advantages and disadvantages. To improve the classification accuracy of the LRF that works for predicting the forthcoming road terrain, an MRF multiple-sensor fusion method was then proposed.

Canary

978-981-13-6157-9China Machine Press, Beijing and Springer Nature Singapore Pte Ltd. 2019

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在駕駛

Unmanned System Technologieshttp://image.papertrans.cn/r/image/830912.jpg

土產(chǎn)

https://doi.org/10.1007/978-981-13-6155-5Mutiple Sensor; Laser Range Finder; Principal Component Analysis; Power Spectral Density; Fast Fourier T

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Review of Related Work,The knowledge of road terrain-type vehicles drive through plays a crucial role in vehicle driving safety. It also provides important information for the driving manoeuvre.

莊嚴(yán)

Multiple-Sensor Based Road Terrain Classification,In the previous chapters, road terrain classification using an accelerometer, a camera and a downward facing LRF has been investigated.

Crepitus

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