Nasrollah Moghadam Charkari
University of Yamanashi, Takeda (Japan), Tarbiat Modares University
Papers
8
Total Citations
200
H-Index
7
About
Nasrollah Moghadam Charkari is a pioneer in intelligent robotics and computer vision, best known for developing real-time detection and navigation systems for mobile robots operating in dynamic outdoor environments. His core research focuses on vehicle and pedestrian detection, obstacle avoidance, and sensor fusion, with a signature contribution being the “sign pattern” concept—using visual cues like vehicle shadows and road rhythm to enable fast, reliable detection. His seminal 1994 paper on on-line vehicle and pedestrian detection (71 citations) and his 2002 work on shadow and rhythm as sign patterns (59 citations) established foundational methods for vision-based robot navigation. Charkari also advanced practical applications such as the Robotic Travel Aid (RoTA) for the visually impaired and intersection danger estimation systems. More recently, he has explored biogeography-based optimization for robust visual object tracking (2022). With over 200 total citations across his most-cited works, Charkari’s contributions have influenced autonomous vehicle systems, assistive robotics, and intelligent transportation, making him a respected figure in the intersection of robotics, computer vision, and real-time sensor integration.
Research Focus
Key Achievements
Top Papers
- 1On-line vehicle and pedestrian detections based on sign pattern71 citations · 1994
- 2Shadow and rhythm as sign patterns of obstacle detection59 citations · 2002
- 3A new approach for real time moving vehicle detection31 citations · 2002
- 4Visual vehicle detection and tracking based on the 'sign pattern'11 citations · 1994
- 5Biogeography based optimization method for robust visual object tracking9 citations · 2022
- 6Danger estimation of the Robotic Travel Aid (RoTA) at intersection9 citations · 1996
- 7Danger estimation of vehicles at intersection7 citations · 2002
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