This work considers a problem of motion planning in the unknown environment, where terrain features are used for navigation. The described terrain-following motion control law uses reactive collision avoidance approach, augmenting it with a strong deliberative component and full consideration of kinematic and dynamic constraints of the autonomous mobile agent. Thus, common pitfalls such as generating impossible paths, losing the goal, and getting stuck in the local minima are avoided, whereas the necessary ability to react quickly to changes in the environment is ensured. Emergency obstacle avoidance maneuver supplements the described navigation algorithm when agent’s physical constraints make regularly generated path segment infeasible. Method of sensor data processing determines agent’s behavior, for example, whether it tends to choose flying over low-lying terrain areas vs. passing above the hills. The implemented sensor model utilizes a discrete terrain “vision” process that is generally viewed as “snapshot-based ray-tracing”. The equations of motion are derived using Udwadia-Kalaba Equation. Case studies, illustrating different behaviors and resulting paths, are presented.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Ms. Abramova holds M.S. in Computer Science and Ph.D. in Aerospace Engineering from the Univ. of Southern California. Her research interests lie in the field of autonomous motion control, particularly in terrain-following formation motion, cooperative motion with emergent group behavior, and navigation in unknown / dynamically changing environments
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work considers a problem of motion planning in the unknown environment, where terrain features are used for navigation. The described terrain-following motion control law uses reactive collision avoidance approach, augmenting it with a strong deliberative component and full consideration of kinematic and dynamic constraints of the autonomous mobile agent. Thus, common pitfalls such as generating impossible paths, losing the goal, and getting stuck in the local minima are avoided, whereas the necessary ability to react quickly to changes in the environment is ensured. Emergency obstacle avoidance maneuver supplements the described navigation algorithm when agent s physical constraints make regularly generated path segment infeasible. Method of sensor data processing determines agent s behavior, for example, whether it tends to choose flying over low-lying terrain areas vs. passing above the hills. The implemented sensor model utilizes a discrete terrain vision process that is generally viewed as snapshot-based ray-tracing . The equations of motion are derived using Udwadia-Kalaba Equation. Case studies, illustrating different behaviors and resulting paths, are presented. 300 pp. Englisch. N° de réf. du vendeur 9783639517286
Quantité disponible : 1 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abramova InnaMs. Abramova holds M.S. in Computer Science and Ph.D. in Aerospace Engineering from the Univ. of Southern California. Her research interests lie in the field of autonomous motion control, particularly in terrain-followin. N° de réf. du vendeur 151388275
Quantité disponible : Plus de 20 disponibles
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work considers a problem of motion planning in the unknown environment, where terrain features are used for navigation. The described terrain-following motion control law uses reactive collision avoidance approach, augmenting it with a strong deliberative component and full consideration of kinematic and dynamic constraints of the autonomous mobile agent. Thus, common pitfalls such as generating impossible paths, losing the goal, and getting stuck in the local minima are avoided, whereas the necessary ability to react quickly to changes in the environment is ensured. Emergency obstacle avoidance maneuver supplements the described navigation algorithm when agent s physical constraints make regularly generated path segment infeasible. Method of sensor data processing determines agent s behavior, for example, whether it tends to choose flying over low-lying terrain areas vs. passing above the hills. The implemented sensor model utilizes a discrete terrain vision process that is generally viewed as snapshot-based ray-tracing . The equations of motion are derived using Udwadia-Kalaba Equation. Case studies, illustrating different behaviors and resulting paths, are presented. N° de réf. du vendeur 9783639517286
Quantité disponible : 1 disponible(s)
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
Etat : New. pp. 300. N° de réf. du vendeur 26376162805
Quantité disponible : 4 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work considers a problem of motion planning in the unknown environment, where terrain features are used for navigation. The described terrain-following motion control law uses reactive collision avoidance approach, augmenting it with a strong deliberative component and full consideration of kinematic and dynamic constraints of the autonomous mobile agent. Thus, common pitfalls such as generating impossible paths, losing the goal, and getting stuck in the local minima are avoided, whereas the necessary ability to react quickly to changes in the environment is ensured. Emergency obstacle avoidance maneuver supplements the described navigation algorithm when agent's physical constraints make regularly generated path segment infeasible. Method of sensor data processing determines agent's behavior, for example, whether it tends to choose flying over low-lying terrain areas vs. passing above the hills. The implemented sensor model utilizes a discrete terrain 'vision' process that is generally viewed as 'snapshot-based ray-tracing'. The equations of motion are derived using Udwadia-Kalaba Equation. Case studies, illustrating different behaviors and resulting paths, are presented.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 300 pp. Englisch. N° de réf. du vendeur 9783639517286
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand pp. 300. N° de réf. du vendeur 370964010
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND pp. 300. N° de réf. du vendeur 18376162815
Quantité disponible : 4 disponible(s)