Jaroslav Hanzel
Papers
5
Total Citations
78
H-Index
4
About
Jaroslav Hanzel is a researcher whose work sits at the intersection of service robotics and intelligent vehicle systems. His primary research areas include autonomous navigation, sensor modeling, and environment mapping for mobile robots. Hanzel’s most significant contribution is his foundational work on intelligent vehicles as robotic applications, which has garnered 55 citations and established key frameworks for integrating service robotics principles into vehicular systems. He has developed sophisticated models for ultrasonic sensors and range finders, enabling more accurate environmental perception and obstacle detection for mobile robots. His research on improving GNSS localization using DOP parameters and Kalman filters represents an important advancement in positioning accuracy for autonomous systems. Hanzel has also contributed to comparative studies of mapmaking methods, exploring grid-based representations for unknown environments. His work collectively addresses the critical challenges of localization, mapping, and sensor integration that are essential for the development of fully autonomous intelligent vehicles. Through his methodical approach to sensor modeling and environmental understanding, Hanzel has provided practical solutions that bridge theoretical robotics with real-world vehicular applications.
Research Focus
Key Achievements
Top Papers
- 1Intelligent Vehicles as the Robotic Applications55 citations · 2012
- 2Identification Based Model of Ultrasonic Sensor9 citations · 2011
- 3Range Finder Models for Mobile Robots8 citations · 2012
- 4Improved GNSS Localization with the Use of DOP Parameter4 citations · 2014
- 5COMPARISON OF MAPMAKING METHODS FOR MOBILE ROBOTS2 citations · 2006