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In this paper, we describe the design and development of a network of large unmanned ground vehicles (LUGVs) using low-cost, off-the-shelf technology and building upon experience gained at the 2005 Defense Advanced Research Projects Agency (DARPA) Grand Challenge. Our unique distributed architecture allows robots with different capabilities to interact,(More)
— This paper presents an on-line algorithm which provides high signal to noise ratio heading predictions for un-manned ground vehicles. The algorithm uses cross correlation of SICK laser scans to improve the heading predictions from GPS. It is tested on our ground vehicles in outdoor urban environment and verified to provide accurate smooth heading(More)
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