There has been meaningful research into the development of 3D world modeling techniques that are important requisite for intelligent vehicle navigation. In this paper we describe a 3D probabilistic voxel mapping proce...
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We proposed the Heterogeneous Ant Colony Optimization (HACO) algorithm to solve the global path planning problem for autonomous mobile robot in the previous paper. The HACO algorithm was modified and optimized to solv...
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Sparse coding presents practical advantages for sensory representations and memory storage. In the insect olfactory system, the representation of general odors is dense in the antennal lobes but sparse in the mushroom...
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Sparse coding presents practical advantages for sensory representations and memory storage. In the insect olfactory system, the representation of general odors is dense in the antennal lobes but sparse in the mushroom bodies, only one synapse downstream. In locusts, this transformation relies on the oscillatory structure of antennal lobe output, feed-forward inhibitory circuits, intrinsic properties of mushroom body neurons, and connectivity between antennal lobe and mushroom bodies. Here we show the existence of a normalizing negative-feedback loop within the mushroom body to maintain sparse output over a wide range of input conditions. This loop consists of an identifiable “giant” nonspiking inhibitory interneuron with ubiquitous connectivity and graded release properties.
We proposed the Heterogeneous Ant Colony Optimization (HACO) algorithm to solve the global path planning problem for autonomous mobile robot in the previous paper. The HACO algorithm was modified and optimized to solv...
We proposed the Heterogeneous Ant Colony Optimization (HACO) algorithm to solve the global path planning problem for autonomous mobile robot in the previous paper. The HACO algorithm was modified and optimized to solve the global path planning problem unlike the conventional ACO algorithm which was proposed to solve the Traveling Salesman Problem (TSP) or Quadratic Assignment Problem (QAP). However, there is a common shortcoming in the ACO algorithms for global path planning, including HACO algorithm. Ants carry out the exploration task relatively well around the starting point. On the other hand, they are hindered in their work as they approached the goal point, because they are attracted by the intensity of heuristic value and the accumulated pheromone while the ACO algorithm works. As a result, they have a strong tendency not to explore and most of them follow the path that found in the beginning of the search. This could cause the local optimal solutions. Thus, we propose a way to solve this problem in this paper. It is the Bilateral Cooperative Exploration (BCE) method. The BCE is the idea that performs the search task again by changing the goal point into the starting point and vice versa. The simulation shows the effectiveness of the proposed method.
Micro Aerial Vehicles (MAVs) have gained a significant amount of research lately, with a number of universities and industry sponsors paving the way with micro flying robots to perform Intelligence, Surveillance and R...
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3D mapping and expression of the environment are very important with various applications in many different fields. Among the various sensors (vision sensor, infrared sensor, and LiDAR (Light Detection and Ranging) se...
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ISBN:
(纸本)9781457707223
3D mapping and expression of the environment are very important with various applications in many different fields. Among the various sensors (vision sensor, infrared sensor, and LiDAR (Light Detection and Ranging) sensor), we used the LiDAR sensor in this paper because its accuracy is good and easy to handle. There exist holes in the result of 3D reconstruction. When these holes are filled, improved results of localization, and path planning are expected. We propose a contour based sampling algorithm to fill holes. It uses the information from regions near the holes for the prediction, and the results confirm that the filled regions look similar to the real environment.
In recent year, much progress has been made in outdoor 3D mapping. However, 3D mapping in real time is still a daunting challenge in urban environment. This paper addresses the problem of 3D mapping from 3D laser scan...
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ISBN:
(纸本)9781457707223
In recent year, much progress has been made in outdoor 3D mapping. However, 3D mapping in real time is still a daunting challenge in urban environment. This paper addresses the problem of 3D mapping from 3D laser scans in urban environments in real time. To do this, we proposed geometric featured voxel which can efficiently represent 3D urban structure without loss of geometric properties. For evaluation of the proposed voxel, we use Oakland dataset.
In this paper, We made an algorithm for a mobile robot to determine direction normal to the wall with two cameras in an indoor environment without any direction-notification marks. Furthermore, with this direction det...
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In this paper, We made an algorithm for a mobile robot to determine direction normal to the wall with two cameras in an indoor environment without any direction-notification marks. Furthermore, with this direction determination ability, made a method with which a mobile robot can navigate and search through an indoor corridor path without any predefined map information is made. the direction determination scheme uses Hough transform and horizontal line search. While the path search algorithm uses SIFT(Scale-Invariant Feature Transformation), 3D reconstruction and binary search tree algorithm. In the direction determination stage, the mobile robot detects lines in the image and detects horizontal lines to determine the normal to the wall direction. After the direction determination stage is completed, the robot determines the corridor path range through SIFT, RANSAC algorithm, and 3D reconstruction, and finally navigates through its pathway. The direction determination and navigation stage constitutes the binary search tree algorithm. After searching through all its pathway in the indoor environment, the robot returns to its original position with various corridor position information.
This paper presents a real-time background subtraction method which handles illumination changes and dynamic backgrounds such as flapping flags and waving trees. Previous approaches based on Gaussian mixture models us...
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ISBN:
(纸本)9781612846774
This paper presents a real-time background subtraction method which handles illumination changes and dynamic backgrounds such as flapping flags and waving trees. Previous approaches based on Gaussian mixture models usually generates models pixelwise, which makes it difficult to operate in realtime due to computational complexity. Moreover, pixelwise models tend to fail in sudden illumination changes or in dynamic backgrounds. In order to solve this problem, we propose an on-line boosting based background subtraction algorithm. Our approach divides the background area into overlapping patches instead of pixels, and learn classifiers with those patches. The main contribution of this paper is to propose a novel training process for classifiers which use block based Opponent Color Local Binary Pattern (OCLBP). Experimental results show that in environments containing illumination changes and/or dynamic backgrounds, our on-line boosting method using block based OCLBP outperforms previous on-line boosting methods or Gaussian mixture model based methods for robust background subtraction.
This paper presents a novel interval type-2 fuzzy logic control architecture for flocking system when the system has noisy sensor measurements. The traditional type-1 fuzzy logic controller (FLC) using precise fuzzy s...
This paper presents a novel interval type-2 fuzzy logic control architecture for flocking system when the system has noisy sensor measurements. The traditional type-1 fuzzy logic controller (FLC) using precise fuzzy sets cannot fully model and handle the uncertainties of sensor data. However, type-2 FLC using type-2 fuzzy sets with a footprint of uncertainty (FOU) produce better performances under noisy environments. In this paper, therefore, we present a control architecture for flocking behavior that is based on interval type-2 FLC to implement the flocking behaviors of separation, obstacle avoidance, and velocity matching. The type-2 based control system could cope with the uncertainties of noisy sensor measurements and resulted in good performances that outperformed the type-1 FLC.
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