Work

Real-time Path Correction for Obstacle-free Movement and Aero Alert

Year: 2025

Type: article

Abstract: This paper presents a real-time path correction mechanism for obstacle-free movement integrated with an AeroAlert system for gas leakage detection. The proposed system uses machine learning (ML) algorithms to improveits performance. decision trees for path classification, and sensor fusion techniques to improve obstacledetection and environmental adaptability. The integration of an MQ5 gas sensor enhances safety by triggeringalerts upon gas leakage detection. The experiments show that the system accurately detects obstacles andnavigates efficiently in real-time.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15458824

Authors: Mrs. Surekha B, Jayanth V P, Darshan N, Gurulingu R, Gagan R

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6931322489

FWCI:

Cites:

Cited by:

Related to: