A Dual-Mode Routing Algorithm for an Autonomous Roving Vehicle
Kirk, Donald E.
Lim, Larry Y.
MetadataShow full item record
A dual-mode algorithm for routing an unmanned autonomous roving vehicle designed to explore the uncertain terrain of other planets is presented. The algorithm consists of a global mode, which uses dynamic programming and terrain information available from photo reconnaissance data to determine a nominal optimal path, and a local mode, which routes the vehicle around obstacles whose presence, location, and extent are not known in advance. Gaussian probability density functions are used to simulate terrain for examples that illustrate the performance of the algorithm.
The article of record may be found at http://dx.doi.org/10.1109/TAES.1970.310027Aerospace and Electronic Systems, IEEE Transactions on
Showing items related by title, author, creator and subject.
Mackey, Randall Lee (Monterey, California. Naval Postgraduate School, 1991-09);NPSNET is a low-cost visual simulation system designed and constructed at the Naval Postgraduate School. NPSNET uses digital terrain data and renders scenes involving vehicles, aircraft, cultural features, and natural ...
Rodrigues Neto, Jose Augusto (Monterey, California. Naval Postgraduate School, 1994-12);This thesis develops, implements and tests a mine search algorithm for the Naval Postgraduate School Autonomous Underwater Vehicle (Phoenix). The vehicle is 72 inches long and displaces 400 pounds. Its maneuvers are performed ...
Goodpasture, Brenda K. (1987-12);Over the past few decades man has concentrated considerable effort in deriving algorithms that can classify terrain in a manner similar to the human visual system. If an implementable algorithm were obtained, man could use ...