Fall accidents are the leading cause of fatalities in the construction industry, and can occur
due to various environmental hazards, such as unprotected walkways, slippery surfaces …

Canopy volume information of fruit trees is a very important biological parameter, which is of
great significance to predict the yield of fruit trees, estimate the application amount of …

Aiming at the problems of feature point calibration method of 3D light detection and ranging
(LiDAR) and camera calibration that are calibration boards in various forms, incomplete …

Understanding the environment is an essential ability for robots to be autonomous. In this
sense, Convolutional Neural Networks (CNNs) can provide holistic descriptors of a scene …

Obstacle Detection and Obstacle Avoidance are vital technologies for autonomous
navigation of vehicles. A number of sensor technologies have been used before to perform …

Abstract Optimized PTP (Point to Point) Navigation by customized mobile agent constitutes
extensive research domain in Machine Intelligence. Distinct Literature survey confirms the …

This paper presents a custom made small rover based surveying, mapping and building
information modeling solution. Majority of the commercially available mobile surveying …

This research work presents a novel approach for enhancing the trajectory tracking
capabilities of differentially driven mobile robots (DDMR). The proposed methodology …

With their reduction in cost, LIDAR sensors are starting to become ubiquitous on robotic
platforms that need to self-navigate. Omni-directional robotic drive systems have matured in …

Mapping is one of the most important aspect in robot navigation. This project emphasizes on
the mapping using Simultaneous Localization and Mapping (SLAM) using GMapping …