Pratik Dhameliya

Depth-Augmented Pose Tracking for Autonomous Robots: A Filter-based Multi-Sensor Fusion Approach

Robotic platforms operating in GPS-denied environments require robust ego-motion estimation systems that fuse complementary sensor modalities under onboard computational constraints. This paper proposes a navigation framework estimating six-degree-of-freedom (6 DoF) robot pose in unstructured scenes using a monocular c...