In recent decades, several assistive technologies have been developed to improve the
ability of blind and visually impaired (BVI) individuals to navigate independently and safely …

Autonomous navigation is crucial for achieving the full automation of agricultural research
and production management using agricultural robots. In this paper, we present a vision …

Accurate and robust detection of reference lines in the field is essential for formulating linear
tracking and steering strategies for agricultural machinery. The identification of planted and …

In recent decades, several assistive technologies have been developed to improve the
ability of blind and visually impaired (BVI) individuals to navigate independently and safely …

Visual simultaneous localization and mapping (VSLAM) is a foundational technology that
enables robots to achieve fully autonomous locomotion, exploration, inspection, and more …

Crop yield estimation plays a crucial role in agricultural production planning and risk
management. Utilizing simultaneous localization and mapping (SLAM) technology for the …

This paper presents an integration visual navigation algorithm called PnP-ORBSLAM for
UAV position estimation in Urban Air Mobility (UAM). ORBSLAM is a popular and …

Simultaneous Localization and Mapping (SLAM) is essential for mobile robotics, enabling
autonomous navigation in dynamic, unstructured outdoor environments without relying on …

目的/意义采摘机器人是智慧农业的重要组成部分, 其感知, 规划, 控制相关基础方法理论目前已
有系统化研究. 然而, 构建具备全果园“感知-移动-采摘” 一体化作业能力的实用型采摘系统仍面临 …

In agricultural open fields, accurate autonomous localization of robots requires long-term
data correlation to reduce cumulative error. Our article presents a Stereo Visual-Inertial …