Sensing performance analysis of mobile robot navigation based on depth camera and LiDAR

H Afrisal, A Sofwan, W Widayat… - … on Computer Science …, 2023 - ieeexplore.ieee.org
One of the potential implementations of mobile robots in mitigating the risk of communicable
diseases is for delivering items and handling materials with no-human contact. In that …

Detecting More Objects Indoors: a Depth-guided Detector for Mobile Robots

J Hu, T Wang, D Liu, S Zhu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In robotic target object manipulation tasks, object detection plays a crucial role on ensuring
types and general positions of target objects. However, directly applying existing detectors in …

Implementation of a mobile multi-target search system with 3D slam and object localization in indoor environments

J Kim, S Nam, G Oh, S Kim, S Lee… - 2021 21st international …, 2021 - ieeexplore.ieee.org
This paper addresses the problem of the recognition and localization of multiple targets
while building a three-dimensional map using 3D SLAM (Simultaneous Localization and …

Design of a lightweight obstacle detection system for mobile robot platforms with a lidar camera

E Yeremia, D Novita, A Turnip - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The treatment of patients in isolation is one of many new challenges that doctors and
medical staff have to deal with daily. Thus, recent developments in robotics for the …

Indoor Object Distance Measurement for Robots Based on YOLO and Depth Foreground Prediction

M Yin, Q Zhang, W Bi, M Zhang… - 2023 IEEE 13th …, 2023 - ieeexplore.ieee.org
Object detection and distance measurement are core technologies for indoor robots. RGB-D
cameras enable robots to accurately calculate the distance between objects. However, the …

[HTML][HTML] An obstacle-finding approach for autonomous mobile robots using 2D LiDAR data

L Mochurad, Y Hladun, R Tkachenko - Big Data and Cognitive Computing, 2023 - mdpi.com
Obstacle detection is crucial for the navigation of autonomous mobile robots: it is necessary
to ensure their presence as accurately as possible and find their position relative to the …

Multiple Objects Detection and Localization using Data Fusion

A Khaled, O Shalash, O Ismaeil - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Real-time object detection is one of the most fundamental computer vision processes, it is of
great importance for many applications, such as video surveillance and autonomous driving …

Using LiDAR Data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment

M Nowakowski, J Kurylo, J Braun, GS Berger… - … Learning Algorithms and …, 2023 - Springer
Nowadays, there has been a growing interest in the use of mobile robots for various
applications, where the analysis of the operational environment is a crucial component to …

Obstacle detection and avoidance algorithm for autonomous mobile robot using 2D LiDAR

D Ghorpade, AD Thakare… - … , Control and Automation …, 2017 - ieeexplore.ieee.org
The autonomous mobile robot play vital role in military applications and can perform difficult
and dangerous tasks like neutralizing explosives, walking through minefields, rescue life of …

Object Detection and Distance Estimation Using Deep Learning Algorithms for Autonomous Robotic Navigation

HH Smith - 2018 - digitalcommons.georgiasouthern …
A study is presented on the use of deep neural network (DNN) systems for object detection
and distance estimation in autonomous robotic navigation. A mobile robot, Turtlebot …