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In this work, we propose a self-diagnosing intelligent highway surveillance system and design effective solutions different lighting and weather conditions. If tracking algorithms could work properly, performing tracking should be preferred in intelligent surveillance systems. However, it is unrealistic to segment and track each individual vehicle under all circumstances. Under congestion conditions,...
The heterogeneous fleet vehicle routing problem with time windows is a variant of the classical vehicle routing problem. This paper defines a mathematical model of this problem and proposes a variable neighborhood tabu search algorithm to solve it. The initial solution is obtained by GENIUS and the giant tour algorithm. Our algorithm employs a variable neighborhood mechanism to search the optimal...
At the beginning of application of In-vehicle network system, there will be incomplete or even no signal coverage in some sections of highway. In order to ensure a smooth transition in network, we locate and track vehicles with In-vehicle network system assistant with the most extensive nationwide coverage of GSM network signal. With a single base station location model, we put forward two kinds of...
This paper proposes a novel lane detection method for extracting various lane lines from videos using the concept of directional random walks. Two major components are included in this method, i.e., lane segmentation extraction and edge linking. At first, we define proper structure elements to extract different lane mark features from input frames using a novel morphology-based approach. Then, a novel...
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