Papers
5
Total Citations
97
H-Index
5
About
Visesh Chari is a computer vision and robotics researcher whose work spans 3D reconstruction, localization, and sensor modeling — areas central to the advancement of autonomous systems and mobile robotics. His most influential contribution, "Dynamic Body VSLAM with Semantic Constraints" (2015, 40 citations), addresses one of the field's persistent challenges: reconstructing urban environments in the presence of dynamic objects, pushing beyond the static-scene assumptions that limit large-scale visual SLAM approaches. Complementing this, his work on fusing GPS signals with image data for accurate 3D localization (2015, 35 citations) offers practical solutions for autonomous navigation and location-aware mobile applications. Chari has also tackled hardware-level challenges, developing methods to correct rolling shutter distortion and motion blur in depth cameras like the Microsoft Kinect — critical for reliable robotic perception in motion. His earlier research explored 3D object reconstruction using convex bricks and multi-plane tracking via Unscented Kalman Filters, demonstrating a consistent focus on robust geometric modeling from sensor data. Across his body of work, Chari bridges theoretical rigor with real-world applicability, making meaningful contributions to the foundations of robotic perception and scene understanding.
Research Focus
Key Achievements
Top Papers
- 1Dynamic body VSLAM with semantic constraints40 citations · 2015
- 2Accurate localization by fusing images and GPS signals35 citations · 2015
- 3Rolling shutter and motion blur removal for depth cameras10 citations · 2016
- 4
- 5Multiple plane tracking using Unscented Kalman Filter5 citations · 2010