Patrick Sudowe
Papers
1
Total Citations
3
H-Index
1
About
Patrick Sudowe is a computer vision researcher whose work centers on real-time multi-person tracking for mobile robotics and intelligent vehicles. His most-cited paper, "Real Time Vision Based Multi-person Tracking for Mobile Robotics and Intelligent Vehicles" (2011), addresses the critical challenge of enabling autonomous systems to perceive and follow multiple individuals in dynamic environments. This contribution is foundational for applications in autonomous navigation, human-robot interaction, and intelligent transportation, where robust, low-latency tracking is essential. While his citation count of 3 reflects a focused, early-stage impact, the work demonstrates a strong technical foundation in vision-based perception and real-time processing. Sudowe’s research bridges the gap between computer vision algorithms and practical deployment on resource-constrained platforms, a key requirement for mobile robotics and intelligent vehicles. His efforts contribute to the broader goal of creating safer, more responsive autonomous systems that can seamlessly interact with humans in shared spaces.
Research Focus
Key Achievements
Top Papers
- 1