Laplace distribution models for road topography and roughness
نویسندگان
چکیده
منابع مشابه
Using neural networks to predict road roughness
When a vehicle travels on a road, different parts of vehicle vibrate because of road roughness. This paper proposes a method to predict road roughness based on vertical acceleration using neural networks. To this end, first, the suspension system and road roughness are expressed mathematically. Then, the suspension system model will identified using neural networks. The results of this step sho...
متن کاملRoad sign classi ® cation using Laplace kernel
Driver support systems (DSS) of intelligent vehicles will predict potentially dangerous situations in heavy trac, help with navigation and vehicle guidance and interact with a human driver. Important information necessary for trac situation understanding is presented by road signs. A new kernel rule has been developed for road sign classi®cation using the Laplace probability density. Smoothin...
متن کاملRoad sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human driver. Important information necessary for traffic situation understanding is presented by road signs. A new kernel rule has been developed for road sign classification using the Laplace probability density. Smoothing...
متن کاملRoughness models for particle adhesion.
The effects of different surface roughness models on a previously developed van der Waals adhesion model were examined. The van der Waals adhesion model represented surface roughness with a distribution of hemispherical asperities. It was found that the constraints used to define the asperity distribution on the surface, which were determined from AFM scans, varied with scan size and thus were ...
متن کاملPhysical aspects of cell culture substrates: topography, roughness, and elasticity.
The cellular environment impacts a myriad of cellular functions by providing signals that can modulate cell phenotype and function. Physical cues such as topography, roughness, gradients, and elasticity are of particular importance. Thus, synthetic substrates can be potentially useful tools for exploring the influence of the aforementioned physical properties on cellular function. Many micro- a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Vehicle Performance
سال: 2017
ISSN: 1745-3194,1745-3208
DOI: 10.1504/ijvp.2017.085032