Jhilik Bhattacharya

Thapar Institute of Engineering & Technology

Papers

Total Citations

H-Index

About

Jhilik Bhattacharya is a researcher whose work bridges the critical domains of mobile robotics, computer vision, and intelligent navigation systems. Her key contributions focus on enhancing how machines perceive and interact with dynamic environments. Notably, she introduced the **Generalized Feature Vector (GFV)** , a novel approach for vision-based navigation of outdoor mobile robots. By encapsulating multiple feature parameters into a single, robust descriptor, the GFV method addresses the limitations of single-feature detection, enabling more consistent and reliable robot localization and path planning in unstructured outdoor settings. Dr. Bhattacharya has also advanced the field of augmented reality and human-machine interaction through her work on **predictive hierarchical human augmented map generation**. This research introduces a new class of augmented map applications that provide detailed, context-aware itinerary perception, particularly by extracting and integrating real-time traffic information under varying environmental conditions. While her citation counts (3 and 2 for her most cited works) reflect a focused, early-career impact, the conceptual depth of her contributions—especially the GFV—offers a foundational framework for subsequent work in robust feature detection and autonomous navigation. Her research remains a valuable reference for students and engineers developing resilient perception systems for field robotics and intelligent transportation.