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Vibration system modeling is the basis of vibration analysis of the lunar rover. In this paper, the six-wheeled rocker lunar rover was taken as the research object. Firstly, the vibration system of the lunar rover was simplified. For the convenience of establishing a vibration model and considering the structural symmetry, the tree coupled road roughness inputs were transformed into one independent...
Determination of the lunar driving road excitation is the basis of analysis of lunar rover vibration. In this paper, initially, the vertical acceleration signals of lunar in two different roads are collected. Based on the obtained vertical acceleration signals, acceleration power spectrums of the signals are solved by the use of AR model. Additionally, displacement power spectrums are obtained according...
Efficiently and accurately detecting pedestrian plays a very important role in many computer vision applications such as Intelligent Transportation System and Safety Driving Assistant. This paper puts forwards a two-stage pedestrian detection method based on machine vision. Firstly, the expanded Haar-like characteristic is selected and calculated using integral map and the pedestrian detection cascaded...
Median altering, Sobel operator and the Otsu algorithm were introduced to preprocess the lane image of intelligent vehicle. And the improved Hough transformation algorithm was used to extract the road characteristics and detect the lane edge. According to the prediction result of the Kalman filtering, the area of interest (AOI) of the lane edge was established and the AOI's size can adjust dynamically...
Preprocess the lane gray image to obtain binary image and propose an improved Hough transformation algorithm to obtain the feature parameter of the road edge in the binary image. According to the prediction result of the Kalman filtering, we establish the area of interest (AOI) of the road edge and adjust the size of AOI dynamically to track the road edge accurately. To guarantee Intelligent Vehicle...
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