Foliage discriminatin using a rotating ladar
In this paper we present of a real time algorithm that detects foliage using range estimates from a rotating laser.
robot navigation foliage laser↗
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Foliage discrimination using a rotating ladar
We present a real time algorithm that detects foliage using range from a rotating laser. Objects not classified as foliage are conservatively labeled as non-driving obstacles. In contrast to related work that uses range statistics to classify objects, we exploit the expected localities and continuities of an obstacle, in both space and time. Also, instead of attempting to find a single accurate discriminating factor for every ladar return, we hypothesize the class of some few returns and then spread the confidence (and classification) to other returns using the locality constraints. The Urbie robot is presently using this algorithm to descriminate drivable grass from obstacles during outdoor autonomous navigation tasks.
Autonomous navigation range robots↗