Vision Based Autonomous Robot Navigation

Vision Based Autonomous Path/Line Following of a Mobile Robot Using a Hybrid Fuzzy PID Controller

“…However, with an unknown path/line, the estimation of the value of curvature is very difficult and time consuming. In [25,26], the authors proposed the luminance and intensity difference between the left half and the right half of the image, respectively. They are simple, but do not tell enough information about the path/line near around the robot.…”

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

“…For the first and second questions can be answered by completing the appropriate robot with sensors, while the third question can be done with an effective planning system navigation [3]. The navigation system itself is directly related to the presence of the sensors used in robots and the structure of the environment, and that means there will always match the purpose-built robot and the environment in which the robot will be operated [4][5][6]. Vision-based navigation tremendous progress with the implementation of various autonomous vehicles, like autonomous ground vehicles (AGV), autonomous underwater vehicles (AUV), and unmanned aerial vehicles (UAV) [7][8][9].…”

“…As the name suggests, it is the map using navigation systems need to include a complete map of the environment before starting navigation. While the Furthermore, other systems that are in this category is a system that can perform self-localize on the environment simultaneously performed during map construction purposes [5]. And other types of mapbuilding navigation systems are encountered, e.g.…”

“…There is no representation of the environment on these systems, and environments seen/perceived to navigate the system, recognize objects, or browse landmark [5]. One of the most important parts of the process of vision-based robot navigation is how to process the data obtained from the camera sensor used into useful information for a particular robot to navigate toward a specific point on the environment or certain specified arena.…”

“…The last category is mapless navigation method. Optical flow is one of the best methods that mimics how the visual behavior of animals, bees, which are determined by the basic robot movement speed difference between the image seen by the eye (camera) and the right image seen by the eye left, and the robot will move to the side of the speed change is the smallest image [5]. This method is widely used to detect an obstacle, and following this method developed further in many algorithms, including the Hom-Sehunek algorithm (HSA) and Lucas-Kanade algorithm (LKA).…”