Erfan Salehi

Babol Noshirvani University of Technology

Papers

Total Citations

H-Index

About

Erfan Salehi is a robotics researcher whose work centers on advancing visual odometry and simultaneous localization and mapping (SLAM) for autonomous systems. His primary contributions lie in developing robust, real-time algorithms that enable mobile robots and autonomous vehicles to navigate complex environments using camera-based perception. Salehi’s most cited work, “Stereo-RIVO: Stereo-Robust Indirect Visual Odometry,” introduces a stereo visual odometry framework designed to maintain accuracy and stability under challenging conditions such as rapid motion or poor lighting. This approach, which has already garnered early citations, addresses critical limitations in existing VO systems by leveraging indirect feature matching and stereo depth cues. Beyond this flagship paper, Salehi’s research portfolio reflects a deep engagement with the intersection of computer vision and robotics, aiming to make autonomous navigation more reliable in real-world settings. His work is particularly relevant for applications in field robotics, where sensor noise and environmental unpredictability are common. As a rising voice in the field, Salehi’s contributions are helping to push the boundaries of what autonomous systems can achieve, with his papers already influencing ongoing research in robust visual perception.