Accurate navigation is crucial to successfully deploying autonomous vehicles but is often
limited by GPS reliance. The purpose of this thesis was to develop an image-based …

This paper presents a study on the development of an obstacle-avoidance navigation
system for autonomous navigation in home environments. The system utilizes vision-based …

This paper proposes a mapless visual navigation for autonomous mobile robot.
Conventional robot navigation deals with two issues: self-localization and path planning. To …

Deep learning has made great advances in the field of image processing, which allows
automotive devices to be more widely used in humans' daily lives than ever before …

Outdoor navigation is challenging with its dynamic environments. Traditional autonomous
navigation systems construct 3D driving scenes to recognize open and occupied voxels by …

In the modern era of automation and robotics, autonomous vehicles are currently the focus
of academic and industrial research. With the ever increasing number of unmanned aerial …

Autonomous Vehicle (AV) is a target for many academics and engineers across generations
because it is one of the most intriguing engineering projects of the modern era. The globe …

Autonomous mobile robots are required to move throughout map the environment, locate
themselves, and plan paths between positions. Vision stands out among the other senses …

The objective of this project is to create a cost-effective system of autonomous guided
vehicles (AGV) that utilizes deep learning. TensorFlow and OpenCV will be utilized for …

This article presents two approaches based on deep learning for achieving autonomous
navigation and subsequently, conducts an in-depth comparative analysis to elaborate their …