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Massive traffic scene data for algorithm research and model training is the fundamental for self-driving car technology development. In the procedure of scene image labeling, the most accurate method is manual annotation, but with the increasing of the amount of image data, artificial annotation method becomes infeasible due to its disadvantages of vast cost, inefficiency and subjective deviation...
In the process of program analysis, the error detection usually gathers the information of the target position from the path sensitive analysis, which would include some useless dataflow information, thus leading to low analysis efficiency. In this process, the states of the target position usually are combined to solve the path explosion problem, but this would result to high time consumption and...
We address the problem of dispatching a yard crane in its appointed zone of a container terminal. The objective of yard crane dispatching is to determine a sequence for handling all coming jobs within the zone that minimizes the average vehicle waiting time. We propose 2 modified A* search algorithms with admissible heuristics to provide fast and optimal dispatching solution. Simulation results show...
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