Dinir Imameev
Papers
2
Total Citations
4
H-Index
2
About
Dinir Imameev’s research focuses on the intersection of autonomous navigation and robotic control, with a particular emphasis on parking maneuvers for car-like robots. His major contributions include the development and simulation of both perpendicular and parallel parking procedures, implemented for the Avrora Unior robot in the Gazebo simulator. These works address the geometric constraints of parking spots and vehicles, enabling autonomous search and execution of parking maneuvers—a critical challenge for self-driving systems. While his most-cited papers each hold 2 citations, their practical relevance to autonomous vehicle research is notable, as they provide reproducible simulation frameworks for testing parking algorithms. Imameev’s work contributes to the broader field of mobile robotics by offering modular, geometry-based solutions that can be integrated into larger autonomous driving stacks. His achievements demonstrate a hands-on approach to bridging simulation and real-world robotic tasks, making his research valuable for students and engineers exploring autonomous parking systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2