A novel algorithm for collision-free navigation of a mobile robot on the campus road with
pedestrian roaming is described in this paper. Proposed method uses the RGB-D depth …

During the last decade, ground mobile robots that are able to drive autonomously in off-road
environments have received a great deal of attention. Autonomous navigation in …

Successful robot navigation in unknown environments relies mostly on the surrounding
information they perceive. This paper presents a review of various state-of-the-art vision …

Most vision‐based approaches to mobile robotics suffer from the limitations imposed by
stereo obstacle detection, which is short range and prone to failure. We present a self …

Initial position estimation in global maps, which is a prerequisite for accurate localization,
plays a critical role in mobile robot navigation tasks. Global positioning system signals often …

In recent decades, obstacle avoidance has been one of the main challenges in autonomous
vehicle navigation, which has been used in a wide range of different autonomous devices …

Self-driving cars have the potential to provoke a mobility transformation that will impact our
everyday lives. They offer a novel mobility system that could provide more road safety …

Autonomous robot navigation in wild environments is still an open problem and relies
heavily on accurate terrain perception. Traditional machine learning techniques have …

Navigation in autonomous mobile robots involves determining the robot's position and
orientation in its environment and planning its motion to a desired destination. This requires …

Autonomous mobile robots are an important focus of current research due to the advantages
they bring to the industry, such as performing dangerous tasks with greater precision than …