IEEE International Conference on Robotics and Automation (ICRA) · 2020
Robust Method for Removing Dynamic Objects from Point Clouds
S. Pagad, D. Agarwal, S. Narayanan, K. Rangan, H. Kim, G. Yalla
Research & patents.
Peer-reviewed work and granted patents from my time across NIO, Voyage, and Cruise — spanning LiDAR mapping and calibration, visual localization, and autonomous-vehicle perception.
Publications
IEEE Intelligent Vehicles Symposium (IV) · 2020
Motion-based Calibration between Multiple LiDARs and INS with Rigid Body Constraint on Vehicle Platform
H. Kim, S. N. K. Rangan, S. Pagad, V. G. Yalla
IEEE Intelligent Vehicles Symposium (IV) · 2018
Improved Localization Using Visual Features and Maps for Autonomous Cars
S. N. K. Rangan, et al.
International Conference on Robotics: Current Trends and Future Challenges (RCTFC) · 2016
Analysis of a compliant Multi-Module Robot for circular stair climbing
S. N. Kasturi Rangan, et al.
Trans Tech Publications · 2015
Workspace Analysis and Optimization of 3-RRR Planar Parallel Manipulator
Applied Mechanics and Materials, Vols. 813–814
Patents
US Patent Application
Synchronizing operations of sensors based on sensor states
US 2025/0067850 A1
US Patent Application
Precise point cloud generation using graph structure-based SLAM with unsynchronized data
US 2021/0141093 A1
US Patent
Control of complex parking maneuvers and autonomous fuel replenishment of driverless vehicles
US 10,710,633 B2
US Patent
Vehicle self-localization using particle filters and visual odometry
US 10,935,978 B2
US Patent
Visual place recognition based self-localization for autonomous vehicles
US 10,606,274 B2