Enhancing Vehicle Navigation and Safety through Integration of Pre-Recorded Maps with Vehicle Control Unit

Abstract

Powerful navigation and safety systems are vital to ensuring autonomous (DV) or semi-autonomous vehicles continue well in varied environmental conditions. However, in such a world those who depend on that internet connectivity to navigate their car would have problems in areas where network reliability is less than perfect. The purpose of this work is to investigate the feasibility and advantages of combining offline mapping with locally sensed positioning systems for better vehicle navigation and safety. While connected to the internet, vehicles cache offline maps and use local sensor information (such as GPS) from their inertial navigation system or computer vision without needing continuous access. The research outlines a hardware-software architecture with embedded offline map data storage, edge-based road following algorithms and an integration mechanism to advanced driving assistance systems (ADAS). In the evaluation of performance, accuracy assessments with online mapping systems are considered for offline maps and how these can have implications on end driver usability as well impacts on real-world autonomous driving technologies. The results suggest that offline mapping and on-board sensor-based localization would be able to improve vehicle contextual navigation performance in diverse driving scenarios.

Authors and Affiliations

Varad Pramod Nimbalkar

Keywords

Related Articles

Designing Anonymity Server based on K Optimal Principle for Privacy Preserving Protocol

There is need to secure mobile phones locations by privacy frame work which utilizes K optimal principles. This improves the location position and tracking ability of Cell phones. Most of the time quality of service cann...

Anomaly Detection in Credit Card Transactions using Machine Learning

Anomaly Detection is a method of identifying the suspicious occurrence of events and data items that could create problems for the concerned authorities. Data anomalies are usually associated with issues such as security...

Loan Eligibility Prediction Using Machine Learning

Banks and other financial institutions compete for customers by providing a wide range of services and products. Most banks, however, make the vast majority of their money from their credit portfolio. Loans accepted by b...

A Technical Review on IoT Based Mining Tracking and Safety Helmet

In the mining field IOT has a great importance with varying applications drawing attention to its construction. To the contrary side the main objective of this research is to design smart helmet system for mining industr...

Revitalizing Infrastructure: Assessing Concrete Jacketing for Reinforced Concrete Column Rehabilitation

The rehabilitation of deteriorating civil engineering infrastructure, encompassing bridges, buildings, columns, beams, supporting beams, marine structures, and roads, presents a formidable challenge in contemporary engin...

Download PDF file
  • EP ID EP744929
  • DOI 10.55524/ijircst.2024.12.4.18
  • Views 38
  • Downloads 0

How To Cite

Varad Pramod Nimbalkar (2024). Enhancing Vehicle Navigation and Safety through Integration of Pre-Recorded Maps with Vehicle Control Unit. International Journal of Innovative Research in Computer Science and Technology, 12(4), -. https://europub.co.uk/articles/-A-744929