Max DePiro
Papers
1
Total Citations
4
H-Index
1
About
Max DePiro is a researcher at the forefront of computer vision for autonomous systems, with a specialized focus on enhancing safety in urban environments. His work centers on robust object detection, particularly for vulnerable road users like pedestrians and cyclists, using thermal imaging. This approach overcomes the limitations of traditional RGB cameras in low-light or adverse weather conditions, directly addressing a critical gap in autonomous vehicle and delivery robot sensing. His most-cited paper, "A Robust Pedestrian and Cyclist Detection Method Using Thermal Images" (2021, 4 citations), introduces novel techniques that improve detection accuracy and reliability, laying essential groundwork for safer, more resilient perception systems. By advancing thermal-based detection, DePiro’s contributions are helping to bridge the gap between current computer vision capabilities and the stringent safety demands of real-world autonomous navigation. His work is a key step toward making self-driving technology truly dependable in all conditions.
Research Focus
Key Achievements
Top Papers
- 1A Robust Pedestrian and Cyclist Detection Method Using Thermal Images4 citations · 2021