A VIEW-DEPENDENT ADAPTIVE MATCHED FILTER FOR LADAR-BASED VEHICLE TRACKING

Daniel D. Morris, Regis Hoffman, and Paul Haley
Proc. of 14th IASTED Int. Conf. on Robotics and Applications, November, 2009.


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Abstract
LADARs mounted on mobile platforms produce a wealth of precise range data on the surrounding objects and vehicles. The challenge we address is to infer from these raw LADAR data the location and orientation of nearby vehicles. We propose a novel view-dependent adaptive matched filter for obtaining fast and precise measurements of target vehicle pose. We derive an analytic expression for the matching function which we optimize to obtain target pose and size. Our algorithm is fast, robust and simple to implement compared to other methods. When used as the measurement component of a tracker on an autonomous ground vehicle, we are able to track in excess of 50 targets at 10 Hz. Once targets are aligned using our matched filter, we use a support vector-based discriminator to distinguish vehicles from other objects. This tracker provides a key sensing component for our autonomous ground vehicles which have accumulated hundreds of miles of on-road and off-road autonomous driving.

Notes
Number of pages: 9

Text Reference
Daniel D. Morris, Regis Hoffman, and Paul Haley, "A VIEW-DEPENDENT ADAPTIVE MATCHED FILTER FOR LADAR-BASED VEHICLE TRACKING," Proc. of 14th IASTED Int. Conf. on Robotics and Applications, November, 2009.

BibTeX Reference
@inproceedings{Morris_2009_6591,
   author = "Daniel D. Morris and Regis Hoffman and Paul Haley",
   title = "A VIEW-DEPENDENT ADAPTIVE MATCHED FILTER FOR LADAR-BASED VEHICLE TRACKING",
   booktitle = "Proc. of 14th IASTED Int. Conf. on Robotics and Applications",
   month = "November",
   year = "2009",
}