Rohit Mittal

Papers

1

Total Citations

2

H-Index

1

About

Rohit Mittal is an emerging researcher whose work sits at the intersection of vehicular networks, robotics, and wireless sensor systems. His most-cited paper, "A novel method for vehicular network system using static QR code for bituminous roads" (2024), introduces an innovative approach that leverages static QR codes for localization on road surfaces, addressing a critical challenge in autonomous vehicle navigation. Mittal’s research uniquely combines Simultaneous Localization and Mapping (SLAM) with Detection of Moving and Non-Moving Objects in Wireless Sensor Networks (WSN), offering a dual framework for predicting robot movement in lane environments. This integration is particularly valuable for enhancing the accuracy and reliability of autonomous systems in complex, dynamic settings. Although his citation count is currently modest at 2, the novelty of his method—using low-cost, static infrastructure to improve vehicular network performance—signals strong potential for future impact. Mittal’s work stands out for its practical focus on real-world road conditions, bridging the gap between theoretical robotics and applied transportation technology. As the field of intelligent transportation systems grows, his contributions are poised to influence both academic research and industry applications in autonomous navigation and smart infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A novel method for vehicular network system using static QR code for bituminous roads
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago