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• W2136119851 abstract "We present a method of simultaneous detection and tracking moving objects from a moving vehicle equipped with a single layer laser scanner. A model-based approach is introduced to interpret the laser measurement sequence by hypotheses of moving object trajectories over a sliding window of time. Knowledge of various aspects including object model, measurement model, motion model are integrated in one theoretically sound Bayesian framework. The data-driven Markov chain Monte Carlo (DDMCMC) technique is used to sample the solution space effectively to find the optimal solution. Experiments and results on real-life data of urban traffic show promising results." @default.
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• W2136119851 date "2009-05-01" @default.
• W2136119851 modified "2023-10-02" @default.
• W2136119851 title "Laser-based detection and tracking moving objects using data-driven Markov chain Monte Carlo" @default.
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• W2136119851 doi "https://doi.org/10.1109/robot.2009.5152805" @default.
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