Debojyoti Banerji
Papers
1
Total Citations
8
H-Index
1
About
Debojyoti Banerji is a robotics researcher whose work centers on advancing autonomous navigation and environmental perception. His primary research areas include simultaneous localization and mapping (SLAM), occupancy grid mapping, and sensor fusion for mobile robotics. Banerji’s major contribution lies in developing a novel approach that integrates image intensity data with laser range finder (LRF) readings to build robust occupancy grid maps. His 2012 paper, “Simultaneous Localisation and Image Intensity Based Occupancy Grid Map Building – A New Approach,” introduced an algorithm that uses cross-correlation-based image matching to achieve precise pose estimation for mobile robots in static environments. This work has garnered 8 citations, reflecting its foundational role in merging visual and range data for improved mapping accuracy. Banerji’s approach addresses critical challenges in robot localization by enhancing map consistency through multimodal sensor integration. His research provides a practical framework for real-world robotic applications, from warehouse automation to search-and-rescue operations. By bridging the gap between traditional LRF-based mapping and vision-enhanced techniques, Banerji has contributed to more reliable and adaptable autonomous systems, making his work a valuable reference for students and researchers exploring sensor-driven navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1