【摘要】 为了解决车辆目标识别的数据融合问题 ,本文引入了 Dempster- Shafer证据理论方法作为数据融合方法 ,并提出了时空数据融合的思想 ,把 D- S方法与时空数据融合的思想相结合 ,得到了时间域、空间域和时空域 D- S数据融合的方法 ,并用于目标识别中。通过实验得到经过融合后的识别结果比单传感器的识别结果要好 ,证明了上述方法的有效性更多还原

【Abstract】 In order to solve data fusion in vehicle target recognition, Dempster Shafer evidence reasoning is utilized, and time space data fusion idea was proposed. Mixing D-S method into time space data fusion idea, time domain, space domain, time space domain D-S data fusion methods are gained and applied into target recognition. Though experiment, we can see that recognition result of data fusion is better than that of single sensor. It turns out that those methods are effective.更多还原