Achmad Solichin
Papers
1
Total Citations
10
H-Index
1
About
Achmad Solichin is a researcher whose work sits at the intersection of computer vision and intelligent systems. His most-cited paper, "A Survey of Pedestrian Detection in Video" (2014, 10 citations), provides a comprehensive review of a critical computer vision task with far-reaching applications in intelligent vehicles, surveillance, and advanced robotics. By synthesizing the state of the art in pedestrian detection, Solichin helped chart the research landscape for scholars working on real-world safety and automation systems. Beyond this survey, his broader contributions address the challenges of object detection and video analysis, topics that are foundational to modern AI-driven perception. While his citation count reflects a focused and emerging impact, his work is notable for its clarity and utility as a reference for students and practitioners entering the field. Solichin’s research continues to support the development of smarter, more responsive technologies, making him a valuable voice in the ongoing evolution of computer vision applications.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Pedestrian Detection in Video10 citations · 2014