PerRD: A System for Personalized Route Description

2019 ◽  
Author(s):  
Han Su ◽  
Guanglin Cong ◽  
Wei Chen ◽  
Qinyuan Su ◽  
Bolong Zheng ◽  
...  
Keyword(s):  
Route Description

Would you follow your own route description? Cognitive strategies in urban route planning

Cognition ◽  
2011 ◽  
Vol 121 (2) ◽  
pp. 228-247 ◽  
Author(s):  
Christoph Hölscher ◽  
Thora Tenbrink ◽  
Jan M. Wiener
Keyword(s):  
Cognitive Strategies ◽  
Route Planning ◽  
Route Description

Unilateral neglect in route description

1993 ◽  
Vol 31 (11) ◽  
pp. 1255-1262 ◽  
Author(s):  
E. Bisiach ◽  
M. Brouchon ◽  
M. Poncet ◽  
M.L. Rusconi
Keyword(s):  
Unilateral Neglect ◽  
Route Description

Landmark Frames of Reference in Interactive Route Description Tasks

2013 ◽  
Vol 27 (4) ◽  
pp. 497-504 ◽  
Author(s):  
Morgane Roger ◽  
Dominique Knutsen ◽  
Nathalie Bonnardel ◽  
Ludovic Le Bigot
Keyword(s):  
Frames Of Reference ◽  
Route Description

Animate Orientation Based on Visual Landmarks and Scene Recognition

2021 ◽  
Vol 22 (10) ◽  
pp. 537-546
Author(s):  
I. P. Karpova
Keyword(s):  
Finite State Machine ◽  
Scene Recognition ◽  
Model Species ◽  
Biologically Inspired ◽  
Visual Landmarks ◽  
Route Description ◽  
Computing Power ◽  
Formica Rufa ◽  
Finite State ◽  
Collective Foraging

A biologically-inspired approach to robot route following is presented. The ant of the genus Formica rufa (a red forest ant) is used as a model species. These ants actively use collective foraging, unlike many other ant species. The scout ant remembers the route to food and can transmit information about the food location to foraging ants. Foragers can independently reach this place using this data and return home. The basis of the proposed method is the memorization the way by visual landmarks and fuzzy control. The animate path description model consists of a sequence of scenes and includes compass to account for the direction. The behavior of the animate-scout is implemented using an algorithm that simulates the foraging behavior of ants. The animate-forager performs actions to reproduce the route, applying the developed set of rules. The forager behavior is based on the same principles as that of a scout. But the scout remembers the scenes, and the forager recognizes and compares the visible scene and the scene from the route description. The actions of animates are presented in the form of elementary behavioral procedures. Each behavioral procedure is implemented using a finite state machine. The experiments for solving the foraging problem were carried out using a modeling system based on the ROS framework. The simulation results confirm the effectiveness of the proposed method. The method does not require large computing power and advanced sensory capabilities from the robot. It can also be used in reconnaissance and patrol tasks.

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