Target detection for multi-UAVs via digital pheromones and navigation algorithm in unknown environments

2020 ◽  
Vol 21 (5) ◽  
pp. 796-808
Author(s):  
Yan Shao ◽  
Zhi-feng Zhao ◽  
Rong-peng Li ◽  
Yu-geng Zhou
Keyword(s):  
Target Detection ◽  
Navigation Algorithm ◽  
Unknown Environments ◽  
Digital Pheromones

Autonomous Vehicle Navigation With Dynamic Adaptation and Complete Coverage of Unknown Environments

2010 ◽  
Author(s):  
Xin Jin ◽  
Jacqueline M. Luff ◽  
Shalabh Gupta ◽  
Asok Ray
Keyword(s):  
Ising Model ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Dynamic Adaptation ◽  
Complete Coverage ◽  
Navigation Algorithm ◽  
Hazard Detection ◽  
Unknown Environments ◽  
Potential Applications ◽  
Autonomous Vehicle Navigation

This paper presents a Statistical Mechanics-inspired navigation algorithm with dynamic adaptation and complete coverage of unknown environments, which is built upon the concept of generalized Ising model. The algorithm enables autonomous vehicles to cover all areas in the environment, avoid unknown obstacles and adapt to target neighborhoods. Potential applications of this algorithm are humanitarian de-mining, hazard detection and floor-cleaning tasks. The algorithm has been validated on a Player/Stage simulator with an example of minesweeping.

Selective Attention and Error Processing in an Illusory Conjunction Task

2005 ◽  
Vol 19 (3) ◽  
pp. 216-231 ◽  
Author(s):  
Albertus A. Wijers ◽  
Maarten A.S. Boksem
Keyword(s):  
Target Detection ◽  
Event Related Potentials ◽  
Illusory Conjunction ◽  
Conjunction Error ◽  
Error Related Negativity ◽  
Display Element ◽  
Related Potentials ◽  
Feature Error ◽  
High Level ◽  
Correct Target

Abstract. We recorded event-related potentials in an illusory conjunction task, in which subjects were cued on each trial to search for a particular colored letter in a subsequently presented test array, consisting of three different letters in three different colors. In a proportion of trials the target letter was present and in other trials none of the relevant features were present. In still other trials one of the features (color or letter identity) were present or both features were present but not combined in the same display element. When relevant features were present this resulted in an early posterior selection negativity (SN) and a frontal selection positivity (FSP). When a target was presented, this resulted in a FSP that was enhanced after 250 ms as compared to when both relevant features were present but not combined in the same display element. This suggests that this effect reflects an extra process of attending to both features bound to the same object. There were no differences between the ERPs in feature error and conjunction error trials, contrary to the idea that these two types of errors are due to different (perceptual and attentional) mechanisms. The P300 in conjunction error trials was much reduced relative to the P300 in correct target detection trials. A similar, error-related negativity-like component was visible in the response-locked averages in correct target detection trials, in feature error trials, and in conjunction error trials. Dipole modeling of this component resulted in a source in a deep medial-frontal location. These results suggested that this type of task induces a high level of response conflict, in which decision-related processes may play a major role.

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