Ritika Chadha
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ritika Chadha is a researcher advancing the field of autonomous navigation, with a core focus on Simultaneous Localization and Mapping (SLAM) for self-driving cars and mobile robots. Her most cited work, "Multimodality Weight and Score Fusion for SLAM" (2020), tackles a critical challenge in autonomous systems: improving trajectory prediction accuracy by intelligently fusing data from multiple sensors. Rather than relying on a single sensing modality, Dr. Chadha’s approach integrates visual perception with other sensor inputs using weighted and score-based fusion techniques, significantly enhancing the robustness of SLAM in complex, real-world environments. This contribution is vital for the safe and reliable operation of autonomous navigation robots (ANRs), particularly in the demanding context of self-driving cars. With 7 citations, her work is gaining traction among engineers and researchers seeking to refine sensor fusion strategies. Dr. Chadha’s research sits at the intersection of computer vision, robotics, and sensor integration, offering practical solutions that bring us closer to fully autonomous transportation. Her focus on multimodal fusion underscores a deep understanding of how machines perceive and navigate the world.
Research Focus
Key Achievements
Top Papers
- 1Multimodality Weight and Score Fusion for SLAM7 citations · 2020