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This paper presents an energy-efficient and terrain-information-and-preceding-vehicle-information-incorporated energy management strategy for fully electric vehicles (FEVs) equipped with in-wheel motors. Saving driving energy with terrain preview and preceding vehicle movement prediction are crucial to prolong the driving distance for an FEV. Unlike conducting energy optimization under the assumption...
The forward kinematics analysis of the six-degree-of-freedom(DOF) spindle-coupled road simulator (SCRS) with a complex hybrid serial-parallel mechanism(HSPM) has been performed. The forward kinematics with an efficient method is significant for control, singularity and workspace analysis of SCRS. Applying the vector matrix theory, the geometric restriction function was expressed in concise and compact...
Based on the actual traffic detection data of the upstream and downstream video monitor blind area, Support Vector Machines (SVM) algorithm was used to realize the short-term traffic flow forecasting, and VISSIM simulation technology was used build the traffic blind area prediction model. The video blind spot detection algorithm with practical engineering application value and the traffic incident...
Recently, a number of promising path planning algorithms, including sampling-based RRT, grid-based Hybrid-A*, have been proposed to navigate autonomous vehicles in complex environments. However, the drawbacks of these algorithms make them insufficient for path planning when used separately in real-world traffic scenarios. Thus, it is crucial to build a unified framework that can combine the merits...
After introducing the past research achievements in the field of automatic selection of road network, the advantages and shortcomings of how to select the road network were underlined, then a new road selection algorithm to fetch up the shortcomings was put forward. First, the assessment criteria of the importance of road network were summarized and classified on the basis of constraints in road network...
Road detection is a key task in developing an intelligent vehicle. Typical methods using machine vision suffer from being easy to be influences by outer conditions, so here we designed a new method to detect roads by a laser radar. Considering the intelligent vehicle may face much trouble in unsmoothed road, in road with anomalous edges or running crosswise with the road direction, we present a method...
Using the neural networks algorithms to control automatically is one important direction in intelligent vehicle's steering control. This paper presents the installation, mechanical design and processing of intelligent vehicle electronic steering control system. According to the characteristics of intelligent vehicle, the neural networks steering control model is designed, programmed and implemented...
Urban expansion is a complex economic and social process and has been a hot topic not only in the management of sustainable development but also in the fields of remote sensing and geographic information science (GIS). Jinan is chosen to be the study area, as a fresh case, has not been systematically studied so far on the published literature especially its urban growth pattern and evolution prediction...
Classification and extraction of geospatial features from high spatial resolution imageries approved is one of the most significant steps for spatial database acquisition and updating in GIS. This research is to explore the methodologies of recognizing shape and elevation characteristics of spatial features on the remote sensed images. We focus on the road network classification and extraction among...
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