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Traffic light recognition is of great significance for driver assistance or autonomous driving. In this paper, a traffic light recognition system based on smartphone platforms is proposed. First, an ellipsoid geometry threshold model in Hue Saturation Lightness color space is built to extract interesting color regions. These regions are further screened with a postprocessing step to obtain candidate...
VD (Vehicle Detection) is one of the main challenges in ADAS. The encountered vehicles can be of different orientations and positions, especially in scenarios such as crossroads. Traditional VD approaches have shown outstanding performance only with vehicle images of limited orientations and positions: head and tail of a vehicle, others such as side views have been shown to be detection challenged...
The paper proposed a model using real time driving front video recording to detect driver drowsiness. The video recordings were fed into the TRW's simulator to obtain the lane-related signals. Time domain features and frequency domain features were extracted from the lane-related signals to characterize the difference of alert state and drowsiness state. Both support vector machine and neural network...
Aerodynamic coupled parasitic loop is introduced in this paper. The essence of AADP(Aileron alone departure parameter) and LCDP(Lateral control departure parameter) criterion was studied with this loop. The effect of aerodynamic coupled parasitic loop also was researched. The method to restrain the harmful effect of this loop is also present, and the AADP and LCDP criterion are amended for easy use...
As the main species of vehicle emissions which are thought to be the most important reason of air pollutions in urban areas, CO and CO2 have been detected by tunable diode laser absorption spectroscopy widely in recent years. In the method of current tuning, contiguous absorption peaks of CO and CO2 are usually selected to detect their concentrations simultaneously which may lead to the mutual interference...
This paper proposes a robust rear-view camera based moving object detection algorithm for backup aid and parking assist applications. A single fish-eye camera is used in order to get much larger FOV (field of view) for object detection. To detect various moving objects such as vehicles and pedestrians, the ego-motion of host vehicle is firstly estimated by A robust NGPP (near ground point projection)...
Vehicle axle structural design and optimization is an important part of the vehicle development process. Its strength is directly related to vehicle safe under impact. The design should consider the integrity, achieve the same database of design and analysis of the structural data, The parameters model of ATV's axle is set up based on the seamless integration technique of all the module of Pro/E platform,...
An innovation feature of this study is modeling real-time car-following risk based on probabilistic concepts. First of all, this paper divided the process of rear-end collision into two stages: first stage is leading vehicle decelerates and the second is the following vehicle can not avoid the collision on the condition of it. On the basis of that, the probability of rear-end collision which used...
A rear-vehicle detection system of static images based on monocular vision is presented. It does not need the road boundary and lane information. Firstly, it segments the region of interest (ROI) by using the shadow underneath the vehicle and edges. Secondly, it accurately localizes the ROI by vehicle features such as symmetry, edges and the shadow underneath the vehicle, etc. Finally, it completes...
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