发明名称 |
Target tracking system and method using data of angle sensors |
摘要 |
According to one embodiment, a target tracking apparatus calculates N-dimensional predicted values from a respective stored (N+1)-dimensional tracks for each of the targets, determines whether or not the N-dimensional predicted value for each of the targets is correlated with the received N-dimensional angle observed value for the target, if the N-dimensional predicted value is not correlated, generates a new (N+1)-dimensional track for the target based on the N-dimensional track corresponding to the N-dimensional angle observed value and if the N-dimensional predicted value is correlated, updates and stores the (N+1)-dimensional track using the N-dimensional angle observed value. |
申请公布号 |
US8963766(B2) |
申请公布日期 |
2015.02.24 |
申请号 |
US201213488788 |
申请日期 |
2012.06.05 |
申请人 |
Kabushiki Kaisha Toshiba |
发明人 |
Furukawa Hidetoshi |
分类号 |
G01S13/72;G01S5/04;G01S5/00;G01S5/02;G01S5/16;G01S5/18;G01S5/20;G01S13/00 |
主分类号 |
G01S13/72 |
代理机构 |
Oblon, Spivak, McClelland, Maier & Neustadt, L.L.P. |
代理人 |
Oblon, Spivak, McClelland, Maier & Neustadt, L.L.P. |
主权项 |
1. A target tracking system, comprising:
a plurality of N-dimensional angle sensors configured to observe targets and to obtain N-dimensional angle observed values; angle tracking apparatuses provided in association with the plurality of N-dimensional angle sensors and configured to calculate N-dimensional tracks for the respective targets by angle tracking using the N-dimensional angle observed values for the respective targets obtained by the corresponding sensors; (N+1)-dimensional track processing means for receiving, as input information, N-dimensional angle observed values for the respective targets observed by the corresponding plurality of N-dimensional angle sensors and N-dimensional tracks for the respective targets calculated from the corresponding N-dimensional angle observed values for the corresponding targets to calculate distance information from the input information, adding the distance information to the input information, and generating and maintaining (N+1)-dimensional tracks for the respective targets; predicted value calculation means for calculating N-dimensional predicted values from the respective maintained (N+1)-dimensional tracks for the corresponding targets; and correlation determination means for determining whether or not the N-dimensional predicted value for each of the targets obtained by the predicted value calculation means is correlated with the N-dimensional angle observed value for the target,
wherein if the correlation determination means determines that the N-dimensional predicted value is not correlated with the N-dimensional angle observed value, the (N+1)-dimensional track processing means generates a new (N+1)-dimensional track for the target based on the N-dimensional track corresponding to the N-dimensional angle observed value determined not to correlate with the N-dimensional predicted value,wherein if the correlation determination means determines that the N-dimensional predicted value is correlated with the N-dimensional angle observed value, the (N+1)-dimensional track processing means updates and maintains the (N+1)-dimensional track maintained in association with the N-dimensional predicted value using the N-dimensional angle observed value determined to correlate with the N-dimensional predicted value, andwherein N is an integer equal to 1 or 2. |
地址 |
Tokyo JP |