Aniket Dashpute

Papers

Total Citations

H-Index

About

Aniket Dashpute is a researcher whose work lies at the intersection of computational imaging and depth sensing, with a particular focus on enhancing the capabilities of Time-of-Flight (ToF) cameras. His most cited paper, "Depth Resolution Enhancement in Time-of-Flight Cameras Using Polarization State of the Reflected Light" (2018, 20 citations), introduces a novel method to improve depth measurement accuracy by exploiting the polarization properties of reflected light. This contribution addresses a critical limitation in ToF technology, which is widely used in robotic navigation, gaming, and autonomous systems, where precise depth data is essential. By mitigating both systematic camera errors and environmental noise, Dashpute’s work offers a practical pathway to more reliable 3D sensing. While his citation count reflects a focused, early-career impact, the innovative nature of his approach—bridging polarization optics with depth imaging—positions him as a promising voice in the field. His research is particularly relevant for students and engineers seeking to push the boundaries of real-time, high-resolution depth perception in dynamic environments.