Mobile Robot Navigation with Intelligent Infrared Image Interpretation

Abstract

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Pedestrian detection for underground mine vehicles using thermal images

“…The features used with the Parzen classifier are the mean, standard deviation, aspect ratio, the entropy and fill ratio (the ratio of foreground pixels to the total) of the images. Fehlman and Hinders [15] use 15 features and a committee of classifiers for the classification of non-heat generating objects in thermal images. To reduce the computational requirements, a smaller number of features was chosen to test the Parzen classifier.…”

“…A Parzen classifier is a statistical classifier that uses a Parzen density estimate. The Parzen density estimate estimates the conditional probability of getting a given feature vector (D) given the image is of class j (O j ) [15], ie:…”

Distance Estimation based on Color-Block: A Simple Big-O Analysis

“…Navigation may define as the ability to move in any particular environment [1]. Other researchers define it as a science in guiding a robot to move to its environment [2].…”

Path planning and Obstacle avoidance approaches for Mobile robot

“…Nowadays, Mobile Robot (MR) is widely used in various fields, such as military [4], industrial [5], agricultural [2,6], and many other applications [1,7]. One of the most concern issues in the field of robotics is Robot path planning, which helps the MR to travel from the start point to the target point under obstacle constraints while achieving the shortest path with minimal energy consumption, and the lowest running time.…”