Vision Based Obstacle Avoidance Techniques

Güzel, Mehmet Serdar; Bicker, Robert

doi:10.5772/25540

Cited by 6 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Later research focused on robots with additional sensing systems to construct autonomous guidance systems to maneuver a wheeled mobile robot securely in its surroundings (Alhalabi et al, 2021). Guzel and Bicker (2011) described obstacle avoidance methods based on vision. Detecting objects is a critical part of obstacle avoidance (Cyganek, 2013).…”

Section: Introduction and Related Workmentioning

confidence: 99%

Real-Time Fuzzy-PID for Mobile Robot Control and Vision-Based Obstacle Avoidance

Saidi¹,

Mellah²,

Fekik

et al. 2022

International Journal of Service Science, Management, Engineering, and Technology

View full text Add to dashboard Cite

In this work, the differential mobile robot is controlled utilizing fuzzy PID speed control, which combines fuzzy control with conventional PID control in real time. The path may be convoluted, and the surrounding environment may contain a range of arbitrary shape and size obstacles. A monocular camera is used to detect obstacles during the navigation process. To enable a robot to travel within an indoor space while avoiding obstacles, a basic image processing approach based on area of interest was used. The goal of this research is to develop a fuzzy PID speed controller on a real robot, as well as a simple and efficient visual obstacle avoidance system. MATLAB is used to implement the control system. GUIDE (graphical user interface development environment) has enabled the creation of graphical user interfaces. These interfaces make it easy to manipulate the system in real time and capture live video. The proposed methodologies are tested on a non-holonomic dr robot i90 mobile robot, and the results are satisfactory.

show abstract

Section: Introduction and Related Workmentioning

confidence: 99%