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In this work we explore Hidden Markov models as an approach for modeling and recognizing dynamic hand gestures for the interface of in-vehicle infotainment systems. We train the HMMs on more complex shape descriptors such as HOG and CNN features, unlike typical HMM based approaches. An analysis of the optimal hyperparameters of the HMM for the task has been carried out. Also, dimensionality reduction...
Modern vehicles are equipped with numerous driver assistance and telematics functions, such as Turn-by-Turn navigation. Most of these systems rely on precise positioning of the vehicle. While Global Navigation Satellite Systems (GNSS) are available outdoors, these systems fail in indoor environments such as a car-park or a tunnel. Alternatively, the vehicle can localize itself with landmark-based...
The number plate detection is a key step affecting the overall performance of the number plate recognition system. In the paper a novel algorithm for this purpose is proposed. The approach is based on the detection of text areas using the stroke width transform. More plate candidates are detected using the specifically developed image preprocessing scheme based on set of morphological operators and...
In rural areas, wildlife animal road crossings are a threat to both the driver and the wildlife population. Since most accidents take place at night, recent night vision driver assistance systems are supporting the driver by automatically detecting animals on infrared camera imagery. After detecting an animal on the roadside, the orientation towards the road can give a first cue for an upcoming trajectory...
The purpose of this research is to develop a system that used to recognize image of vehicle and classified it into their classes using image processing method and artificial neural network. In the research, all the selected images are required to go through image processing technique to obtained desired data. Images are converted into data using singular value decomposition extraction method and the...
Neural network is a technology for intelligent transportation system and it is important in vehicle type recognition. However, traditional vehicle type recognition method always utilize BP network. A new vehicle type recognition based on radial basic function neural network was proposed. Also discussed are the problem of feature of vehicle feature vector, the problem of normalization of the image-size,...
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