Authors: Nizamuddin Maitlo, Nooruddin Noonari, Kaleem Arshid, Naveed Ahmed, Sathishkumar Duraisamy

Published on: February 07, 2024

Impact Score: 8.22

Arxiv code: Arxiv:2402.04750

Summary

• What is new: A low-cost indoor navigation method utilizing a monocular camera for autonomous vehicles, reducing reliance on expensive or power-inefficient sensors.
• Why this is important: The limited accuracy of GPS in indoor scenarios for autonomous vehicles and the high cost of existing navigation solutions.
• What the research proposes: Affordable Indoor Navigation Solution (AINS) based on monocular camera technology to improve cost-effectiveness and efficiency.
• Results: Shows better performance in reducing estimated error and time consumption compared to existing solutions.

Technical Details

Technological frameworks used: Monocular camera-based navigation

Models used: nan

Data used: nan

Potential Impact

Indoor autonomous vehicle navigation market, companies in the autonomous vehicle industry, sensor manufacturing companies, and indoor navigation solution providers.

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